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Leading Hadoop and Big Data Developer Certification Training Provider around the world. Hadoop Courses in Hyderabad India. Hadoop and Big Data Developer Certification Training Course is aimed to ensure that you are equipped to take up Big Data and Hadoop Project in your Job. Contact us : KALIL KOTHIA . email id :staygreenacademy@gmail.com USA no : +1(404)-462-7860 FREE IND no: 7207210101 web : http://www.staygreenacademy.com

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" Join Hadoop Training in Chennai @ Kyros Technologies Big -Data and Hadoop Developer Course Outline: Big Data & Hadoop is an ideal training package for every aspiring professional who wants to make his/her career in Big Data Analytics using Hadoop Framework. The course equips participants to work on the Hadoop environment with ease and learn vital components such as Flume, Apache Oozie workflow scheduler and other advance concepts like Hadoop 2.0: Hbase, Zookeeper and Sqoop. Learn Hadoop Training in Chennai @ Kyros Technologies Who should attend this course? Analytics professionals, IT professionals, ETL developers, Project managers, testing novices and experts will find the course ideal. Any professional or a fresh graduate interested to enter the Big Data analytics field can also pursue this Course. Prerequisites : Fundamental programming skills are a minimum requirement while working knowledge of Java would be an added advantage. ALL ABOUT Hadoop @ Kyros Technologies 1. Training with the most experienced trainer working in Top MNC's 2. Course content is designed to match with most of the MNC Companies requirements 3. Flexible batch timings (for week days /weekend). 4. Low Cost and Quality Training Training Options: Class Room Online Corporate Crash Course Training Options: Class Room Online Corporate Crash Course For course contents and duration please visit our website. Contact Us: Kyros Technologies New No:28,old No.32,2nd Main Road, Kasturibai Nagar,Adyar ,Chennai – 600 020 Land Mark: Near Adyar Ambika Appalam Signal / Above Central Bank of India / Near Kasturibai Nagar Railway Station/ opp To Nilgris ,KFC Mail Id: info@kyrostechnologies.com Website: www.kyrostechnologies.com, www.kyrostechnologies.in Phone: 044 65152555 Mobile: 9600116576 Join Hadoop Big Data Training in Chennai By Kyros and Get Placed Posted by Kyros. http://www.kyrostechnologies.in/big-data-and-hadoop-developer-training/ "

Hadoop for Developers and Administrators Hadoop for Developers and Administrators Syllabus COURSE CONTENT Traning at hadoop school of training Magarpatta city Pune. (+91-93257-93756) www.hadoopschooloftraining.co.in Next level of development and administration Schedule: Day 1:BigData • Why is Big Data important • What is Big Data • Characteristics of Big Data • How did data become so big • Why should you care about Big Data • Use Cases of Big Data Analysis • What are possible options for analyzing big data • Traditional Distributed Systems • Problems with traditional distributed systems • What is Hadoop • History of Hadoop • How does Hadoop solve Big Data problem • Components of Hadoop • What is HDFS • How HDFS works • What is Mapreduce • How Mapreduce works • How Hadoop works as a system Day2: Hadoop ecosystem • Pig • What is Pig • How it works • An example • Hive • What is Hive • How it works • An example • Flume • What is Flume • How it works • An example • Sqoop • What is Sqoop • How it works • An example • Oozie • What is Oozie • How it works • An example • HDFS in detail • Map Reduce in details Day3: Hands On-¬‐ • VMsetup • Setting up Virtual Machine • Installing Hadoop in Pseudo Distributed mode Day 4: Hands On-¬‐ • Programs • Running your first MapReduce Program • Sqoop Hands on • Flume Hands Day 5: • Multinode cluster setup • Setting up a multimode cluster Day 6: • Planning your Hadoop cluster • Considerations for setting up Hadoop Cluster • Hardware considerations • Software considerations • Other considerations Day 7: Disecting the Wordcount Program • Understanding the Driver • Understanding the Mapper • Understanding the Reducer Day 8: • Diving deeper into MapReduce • API • Understanding combiners • Understanding partitioners • Understanding input formats • Understanding output formats • Distributed Cache • Understanding Counters Day 9: • Common Mapreduce patterns • Sorting Serching • Inverted Indexes Day 10: • Common Mapreduce patterns • TF-IDF • Word-Cooccurance Day 11: • Hands on Mapreduce Day 12: • Hands on Mapreduce Day 13: • Introduction to Pig and Hive • Pig program structure and execution process • Joins • Filtering • Group and Co-Group • Schema merging and redefining schema • Pig functions • Motivation and Understanding Hive • Using Hive Command line Interface • Data types and File Formats • Basic DDL operations • Schema Design Day 14: • Hands on Hive and Pig Day 15: • Advanced Hadoop Concepts • Yarn • Hadoop Federation • Authntication in Hadoop • High Availbability Day 16: • Administration Refresher • Setting up hadoop cluster - Considerations • Most important configurations • Installation options Day 17: • Scheduling in Hadoop • FIFO Scheduler • Fair Scheduler Day 18: • Monitoring your Hadoop Cluster • Monitoring tools available • Ganglia • Monitoring best practices Day 19: • Administration Best practices • Hadoop Administration best practices • Tools of the trade Day 20: • Test • Test – 50 questions test (20- Development releated, 20- • Administration related and 10 Hadoop in General Please Contact- Hadoop School of Training Destination Center, Second Floor Magarpatta City Pune: 411013 Phone: India: +91-93257-93756 USA: 001-347-983-8512 www.hadoopschooloftraining.co.in Email: learninghub01@gmail.com Skype: learning.hub01

Big Data is one of the latest technology in Market. If you are keen on making great success in your career, big data tools like R, SAS, SPSS are significant. Big data training provided by Convergent Learning Solutions is specifically designed to help students gain proficiency to work with Hadoop, MapReduce, Spark, Hive, Kafka, Apache […]

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering,

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join and...

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau  1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map ..........

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks

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HADOOP TRAINING INSTITUTE IN CHENNAI ADYAR WITH PLACEMENT... Peridot systems is one of the best training institute in Chennai providing more numbers of software and hardware training courses by real time experienced professionals...For more details you need about the course syllabus please contact papitha (8056102481)... “PERIDOT SYSTEMS IS POWER OF VICTORY” Our Official Website: www.peridotsystems.in PERIDOT SUPPORTS:  We provide real time training  We provide online, classroom and corporate training classes  We offer both weekdays and weekend batches  We provide 2 days demo classes HADOOP SYLLABUS: • Introduction to Distributed systems • Introduction to Big Data • Introduction to Hadoop • The Hadoop Distributed File System (HDFS) • Map/Reduce Programming – Java For more details information about the course details please contact us, Contact Numbers: 8056102481/9600063484 , 044-42115526 (papitha) Mail to: Papitha.v@peridotsystems.in Website: www.peridotsystems.in TAGS: Hadoop Training Institute in Chennai with Placement |Best Hadoop training in Chennai adyar.

HADOOP TRAINING INSTITUTE IN CHENNAI ADYAR “PERIDOT SYSTEMS” 8056102481... Peridot systems welcome you to learning the no of software and hardware training courses by well experienced trainers...call to papitha (8056102481) for more information about the course details. We provide excellent training by experienced trainer. Our main goal is to satisfy the student’s needs and expectations... Our Official Website: www.peridotsystems.in http://www.peridotsystems.in/hadoop-training-in-chennai.php BENEFITS: • We provide practical training • We have real time trainers • We offer 2 days free demo classes • We provide online training HADOOP SYLLABUS:  Introduction to Big Data and Hadoop  Understanding the Cluster  Best Practices for Cluster Setup  Routine Admin procedures  Monitoring the Cluster For more details information about the course details please contact us, Contact Numbers: 8056102481/9600063484 (papitha) Landline: 044-42115526 Mail to: Papitha.v@peridotsystems.in Website: www.peridotsystems.in TAGS: Hadoop Training Institute in Chennai with Placement |Best Hadoop training in Chennai adyar.

HADOOP TRAINING INSTITUTE IN CHENNAI WITH PLACEMENT... Peridot systems is best software and hardware training institute in Chennai with guaranteed jobs...we provide real time training by working experts...You need any information about the course syllabus details call to papitha (8056102481)... Website: www.peridotsystems.in Peridot: • Real time training • 2 days demo classes • Complete placement guidance • Good environment • Flexible timings HADOOP SYLLABUS: • Map Reduce Workflows • Sqoop • HBase - The Hadoop DataBase • Big Data Analysis with R • Data Science • Application and Certification For more you need please contact, Contact information: 8056102481/9600063484, 044-42115526 Mail id: Papitha.v@peridotsystems.in Name: papitha TAGS: Hadoop Training Institute in Chennai with Placement |Best Hadoop training in Chennai adyar.

Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Greetings of the day. We, Ecorp Trainings are one of the best institute providing quality level of training in E-learning process.This is instructor led online training. We also provide corporate training , if group of people interested in same technology. Contact us for detailed course content & register for a free demo. We also provide support in client interviews , resume preparation , ticket resolving. Contact us for custom designed training course by experts exclusively for yourself. We provide training for almost all IT technologies i.e ; JAVA , DOTNET , SAP , ORACLE , PEOPLESOFT ,HYPERION etc, contact us if you have any particular need. Thanks in advance for accepting our services. With Best Regards, ECORP TRAININGS. Gtalk ID : ecorptrainings Skype ID : ecorptrainings

Data is classified as big if the total size is more than 1 GB/TB/PB/EX. A large organization with a huge amount of data uses Hadoop, Spark software, processed with the help of a large cluster of commodity hardware. Cluster term refers to a group of systems that are connected via LAN and multiple nodes on this cluster helps in performing the jobs. Hadoop, Spark has gained popularity worldwide in managing big data and at present, it has covered nearly 90% market of big data.   Categories of BigData: 1) Structured 2) Unstructured 3) Semi-structured   Example of BigData: 1) New York Exchange generates about 1 TB of new trade data per day. 2) Social Media:  Statistics shows that 500+ terabytes of data get ingested into the database of social media site Facebook, every day. 3) Jet Engine /Travel Portals: Single Jet Engine generates 10+ terabytes(TB) of data in 30 minutes of a flight per day.  Generation of data reaches up to many Petabytes (PB). Overview of Hadoop Ecosystem:   The Hadoop ecosystem consists of 1) HDFS (Hadoop Distributed File System) 2) Apache MapReduce 3) Apache PIG 4) Apache HBase 5) Apache Hive 6) Apache Sqoop 7) Apache Flume, and 8) Apache Zookeeper 9) Apache Kafka 10) Apache OOZIE     iClass Gyansetu provides classes with corporate trainers working with top companies.   Placement Gyansetu provides free placement services.   Duration Big Data Hadoop, Spark takes around 4-5months to learn   Contact Phone No- +91-8130799520/ 9999201478 Website- www.gyansetu.in  

Learn Hadoop Training in Chennai Are you excited and want to learn big data technologies. Do you feel that internet is all littered free materials but it’s complicated for a newbie? Free internet learning material can be a can worms for a beginner and training is advised for a jump start but then do you feel that big data company offered trainings would cost you an arm and a leg? When you look at webinar trainings by other than institutes, you find it of poor quality and dodgy without guarantee. The world can go upside down while learning a new complicated technology as Hadoop. Become a certified Hadoop developer covers everything you need to know to start a career in Hadoop technology and achieve expertise to a level where you can face certification like Cloudera and Hortonworks with confidence. You can start as a beginner and this course would help you to become a certified professional. This course would take you through the nee and event of big data technologies. Why Choose Hadoop? How to setup Hadoop details HDFS mechanism, how Map Reduce program works in MapReduce classic and YARN. Important consideration you need to take to write Map Reduce program and intro to Hadoop ecosystem. This course has all 30 lectures divided into eight sections with the course, you get the code of all the examples discussed in the course and at the end of each lesson, there are quizzes and questions which will prepare you to face and clear cloudera and Hortonworks certification exams. Who should do this course? Programming Engineers, who are into ETL/Programming and investigating for awesome openings for work in Hadoop. Managers, who are searching for the most recent advancements to be implemented in their association, to meet the momentum & up and coming difficulties of information administration. Any Graduate / Post-Graduate, who is trying an incredible profession towards the front line technologies in IT. Why Hadoop Training in Peridot Systems? Strongly believe that you need not burn a hole in your pocket to learn Hadoop. Our Goal is to create best in class courses to learn Hadoop and related technologies. I am confident that you all love this course as I ensured high standards while creating it but just in case, if you find the course is not right for you, don’t worry. This course come with money back guarantee but if you choose to stay, you have unlimited lifetime access to the course and special offers on my upcoming courses. So get started with the course. Get on track to clear certifications & get flooded with job offers and bag the coolest IT Jobs in the current times, avoid wrong turns, and make the right decision. For details Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu - 600020. Landline : 044 - 4211 5526 , 044- 4550 1165 , 044 - 4265 7099 Mobile : +91- 8056102481 Landmark : 2 Minutes walk able distance from Adyar Telephone Exchange / Adyar Bus depot

Why Choose Hadoop? How to setup Hadoop details HDFS mechanism, how Map Reduce program works in MapReduce classic and YARN. Important consideration you need to take to write Map Reduce program and intro to Hadoop ecosystem. This course has all 30 lectures divided into eight sections with the course, you get the code of all the examples discussed in the course and at the end of each lesson, there are quizzes and questions which will prepare you to face and clear cloudera and Hortonworks certification exams. Learn Hadoop Training in Chennai Are you excited and want to learn big data technologies. Do you feel that internet is all littered free materials but it’s complicated for a newbie? Free internet learning material can be a can worms for a beginner and training is advised for a jump start but then do you feel that big data company offered trainings would cost you an arm and a leg? When you look at webinar trainings by other than institutes, you find it of poor quality and dodgy without guarantee. The world can go upside down while learning a new complicated technology as Hadoop. Become a certified Hadoop developer covers everything you need to know to start a career in Hadoop technology and achieve expertise to a level where you can face certification like Cloudera and Hortonworks with confidence. You can start as a beginner and this course would help you to become a certified professional. This course would take you through the nee and event of big data technologies. Who should do this course? Programming Engineers, who are into ETL/Programming and investigating for awesome openings for work in Hadoop. Managers, who are searching for the most recent advancements to be implemented in their association, to meet the momentum & up and coming difficulties of information administration. Any Graduate / Post-Graduate, who is trying an incredible profession towards the front line technologies in IT. Why Hadoop Training in Peridot Systems? Strongly believe that you need not burn a hole in your pocket to learn Hadoop. Our Goal is to create best in class courses to learn Hadoop and related technologies. I am confident that you all love this course as I ensured high standards while creating it but just in case, if you find the course is not right for you, don’t worry. This course come with money back guarantee but if you choose to stay, you have unlimited lifetime access to the course and special offers on my upcoming courses. So get started with the course. Get on track to clear certifications & get flooded with job offers and bag the coolest IT Jobs in the current times, avoid wrong turns, and make the right decision. For details Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu - 600020. Landline : 044 - 4211 5526 , 044- 4550 1165 , 044 - 4265 7099 Mobile : +91- 8056102481 Landmark : 2 Minutes walkable distance from Adyar Telephone Exchange / Adyar Bus depot

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Online and Classroom based training handled by experienced professional trainer.Our Hadoop training in Chennai is the space for people to build knowledge skills and opportunity to work on real time projects. Our Hadoop tutorial Class give space for the learners to learn in smartest way and help them to receive more knowledge in Hadoop. Large number of information is concurrently used by hadoop by using low cost computers for gaining better results.The hadoop usage is to store information and execute the applications on hardware clusters.Hadoop have more capability and enormous amount of information storage and ability to handle more number of tasks which has given. Hadoop is ever green growing industry and there is lot of competitors in Hadoop field among Hadoop Learners.This is the right place for the people to undergone training on Big data to boost their career. We are the leading Hadoop training in Chennai where we offer best big data hadoop training at Affordable price. Free Professional Preparation training offered and help them to build the reume.This will give added benefit for getting job in organizations.Learn how to attract the companies by giving the data in your professional resume.Here at Peridot,provided training for how to handle the difficult interview challenges which has conducted by top level companies. Hadoop Modules Hadoop Architecture Hadoop Admin Hadoop Developer Huge Offer Price on Hadoop by taking three modules as Combo pack.If you need to know more details about hadoop training in Chennai course,then give me a call to student counsellor’s 9566293201 or you can visit our website here: www.peridotsystems.in/hadoop-training-in-chennai.php

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mso-bidi-theme-font:minor-latin">Hadoop is an open source platform that provides excellent data management provision. It is a framework that supports the processing of large data sets in a distributed computing environment. It is designed to expand from single servers to thousands of machines, each providing computation and storage.  Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure, which minimizes the risk of catastrophic system failure, even if a significant number of nodes become out of action. Hadoop is very valuable for large scale businesses basing on its proven benefits mso-bidi-theme-font:minor-latin">Hadoop provides more accurate facts and figures. Hadoop supports advanced features like data visualization and predictive analytics in order to provide and represent the useful insights in a best graphical manner. It can help to optimize the performance using a single server and handle huge volume of information. mso-bidi-theme-font:minor-latin">Hadoop is considered affordable for both enterprise and small business which makes it an attractive solution with endless potential. With the passage of time, companies and enterprises are getting closer to Hadoop. They are moving to implement big data to support the marketing and other efforts and resources. Monstercourses Online training which is instructor-led is useful for learning Big Data technology. Also, the training with hands-on projects would give a good grip on the technology. Hadoop started off with just two components i.e. HDFS and MapReduce mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Visit the site for more details mso-bidi-theme-font:minor-latin;color:#0070C0">http://www.monstercourses.com/hadoop-training/ 115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin;color:#0000CC"> 115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Calibri; mso-bidi-theme-font:minor-latin">Contact us: mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">USA:  + line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family: Calibri;mso-bidi-theme-font:minor-latin;color:red">1 772 777 1557 mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin"> & 14.0pt;line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family: Calibri;mso-bidi-theme-font:minor-latin;color:red">+44 702 409 4077 115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Calibri; mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Skype ID: MonsterCourses mso-bidi-theme-font:minor-latin"> 

mso-bidi-theme-font:minor-latin">and storage.  Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure, which minimizes the risk of catastrophic system failure, even if a significant Hadoop is an open source platform that provides excellent data management provision. It is a framework that supports the processing of large data sets in a distributed computing environment. It is designed to expand from single servers to thousands of machines, each providing computation number of nodes become out of action. Hadoop is very valuable for large scale businesses basing on its proven benefits mso-bidi-theme-font:minor-latin">Hadoop provides more accurate facts and figures. Hadoop supports advanced features like data visualization and predictive analytics in order to provide and represent the useful insights in a best graphical manner. It can help to optimize the performance using a single server and handle huge volume of information. mso-bidi-theme-font:minor-latin">Hadoop is considered affordable for both enterprise and small business which makes it an attractive solution with endless potential. With the passage of time, companies and enterprises are getting closer to Hadoop. They are moving to implement big data to support the marketing and other efforts and resources. Monstercourses Online training which is instructor-led is useful for learning Big Data technology. Also, the training with hands-on projects would give a good grip on the technology. Hadoop started off with just two components i.e. HDFS and MapReduce mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Visit the site for more details mso-bidi-theme-font:minor-latin;color:#0070C0">http://www.monstercourses.com/hadoop-training/ 115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin;color:#0000CC"> 115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Calibri; mso-bidi-theme-font:minor-latin">Contact us: mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">USA:  + line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family: Calibri;mso-bidi-theme-font:minor-latin;color:red">1 772 777 1557 mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin"> & 14.0pt;line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family: Calibri;mso-bidi-theme-font:minor-latin;color:red">+44 702 409 4077 115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Calibri; mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Skype ID: MonsterCourses mso-bidi-theme-font:minor-latin"> 

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​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats.,

​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker.,

​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs Map-side join • Reduce-Side join 9. Map reduce – customization Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…...