Hadoop course system

In PERIDOT SYSTEM, we provide the Hadoop Training Institute in Chennai with excellent syllabuses. By, practical’s course syllabus and placements assistance. And our Faculty trainers are above 18+years of experienced in Hadoop, we also provide Fast track classes for your career. And we provide online classes for you, so in that you can interact with our training through Skype you can record our online Hadoop tutorial and use it after sometime for your own reference. HADOOP TRAINING in Chennai : http://www.peridotsystems.in/hadoop-training-in-chennai.php Following Topics are covered in this Hadoop Course in Chennai:  Admin  Development  Architect/Consultant The training will entirely goes on practical training with hands on experience to get each and every module detail of Hadoop and all Software’s are absolutely free of cost. we are providing you free mock interviews and free interview questions and answers. Our support for this course is extended till you placement in company. Our Peridot System is the best provider of Hadoop Training in Chennai and rated as the best Hadoop Training Institute in Chennai at Adyar. For more details about the infrastructure please visit our http://www.peridotsystems.in/ 9500187290

In PERIDOT SYSTEM, we are providing the Hadoop Training Institute in Chennai with excellent syllabuses. Our Faculty trainers are above 8 years experienced in Hadoop, we also provide Fast track classes also. We are providing online classes also,so in that you can easily communicate with our trainer through skype.Then we are recording this online class for our own reference. HADOOP TRAINING in Chennai Adyar: http://www.thinkittraining.in/software-testing-training. Following Topics are covered in this Hadoop Course in Chennai:  Admin  Development  Architect/Consultant The Hadoop course study materials and all Software’s are absolutely free. During the course time if you have any idea about your own project then you get help from our faculties. Once the Course gets completed up to 85% we will forward your resume to top companies until u get job. Once you get placed in any companies then unlike other companies we will provide you one year free technical support to clarify your current project related queries and other course related queries directly with our experts. That’s why we are rated as best institute in Chennai at adayar. For more details:http://www.peridotsystems.in/hadoop-training-in-chennai.php

Hadoop Training in Chennai with Placement: ThinkIT systems in Chennai offers the best preparing in Chennai. The preparation will be on the hands of very much experienced resources and having over 8 years of working background Advantages of ThinkIT: • One year specialized backing • Free demo classes • Practical situated preparing • Placement help • Unlimited lab Access • Experienced Faculties • Limited no of understudies for each clump Hadoop: Hadoop is an open-source structure that allows to store and system enormous data in an overlooked on circumstance transversely over get-togethers of PCs using direct programming models. It is depended upon to scale up from single servers to a liberal number of machines, each offering neighborhood get prepared and stockpiling. Course Syllabus: • Introduction to Hadoop • Hadoop Distributed System • Map Reduce For further details visit: http://www.thinkittraining.in/hadoop For further details contact us: Contact person- lakshmi Contact number-9500187290 Mail- jagan@thinkittraining.in Venue- venkatarathinam nagar, Adyar Tags: Hadoop training in Chennai| Hadoop training in Chennai with placements | Hadoop training institute training in Chennai

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

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 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 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

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 ..........

HADOOP TRAINING INSTITUTE IN CHENNAI ADYAR “PERIDOT SYSTEMS” 8056102481... Peridot systems is the best software and hardware training institute in Chennai with complete placement...call to papitha (8056102481) for more information about the course details. Our main aim is to satisfy the student’s needs and expectations... We provide complete practical training when compare to theoretical training... BENEFITS:  We provide practical oriented training  We provide both weekdays and weekend batches  We provide 45 days training classes  We provide 100% placement guidance HADOOP SYLLABUS:  Introduction to Big Data and Hadoop  Understanding the Cluster  Best Practices for Cluster Setup  Routine Admin procedures  Monitoring the Cluster  Introduction to Distributed systems  The Hadoop Distributed File System (HDFS) 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 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 DEVELOPER TRAINING IN CHENNAI, PERIDOT SYSTEMS, 100%JOB Peridot systems provide both offline and online mode of training. To join please contact ruban(9952010141).We will provide you free demo classes. Trainers are MNC working professionals. We will give you 100% job assurance Pre-requisites: To learn hadoop developer, core java and good analytical skills are needed. We provide a complimentary Course “Java Essentials for Hadoop” to all learners to brush up java skills needed to write Map reduce Programs. Target learners: If you are interested in Architecture & Fundamentals, Map reduces Programming and real time Analytics then you can be a Hadoop developer. Content: Introduction Hadoop Motivation Basic concepts and HDFS Map Reduce Hadoop cluster and ecosystems Writing a Map Reduce Program using Java Writing a Map Reduce Program Using Streaming Unit Testing Map Reduce Programs Unit Testing Map Reduce Programs Practical Development Tips and Techniques Practical Development Tips and Techniques Practical Development Tips and Techniques Common Map Reduce Algorithms Joining Data Sets in Map Reduce Jobs Integrating Hadoop into the Enterprise Workflow An Introduction to Hive, Imapala, and Pig An Introduction to Oozie Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – 600020 Selvakumar – 9952010141

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.

HADOOP ANALYST TRAINING IN CHENNAI,PERIDOT SYSTEMS, 100% JOB Warm greetings from PERIDOT, Join with us to get placed in MNC.Give a call to ruban(9952010141) to know more. Peridot systems offer a software training course to get job easily in MNC. Trainers are MNC working proffesionals. We are providing a certified course at affordable cost. First your welcome to attend a free demo classes.... Pre-requisites: To learn hadoop admin, basic knowledge of SQL is needed. We provide a complimentary Course “SQL basic” to all learners to brush up SQL. Target learners: If you are Interested in SQL & Scripting Languages, Large Scale Date set operation, Creating values then you can be a Hadoop data analyst. Content: Introduction Hadoop Fundamentals Basic Data Analysis with Pig Processing Complex Data with Pig Multi-Dataset Operations with Pig Extending Pig Pig Troubleshooting and Optimization Introduction to Hive Relational Data Analysis with Hive Hive Data Management Text Processing with Hive Hive Optimization Extending Hive Introduction to Impala Analyzing Data with Impala Choosing the Best Tool for the Job Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – 600020 Selvakumar – 9952010141

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"> 

​ 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…...

​ 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.,