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And the four years spent over here will be full of enjoyment and good memories. • Ranked 1st among 'Private Engineering College across Karnataka' and 15th among 'Engineering Colleges across India' by India Today Nielsen Survey 2015 • Grade 'A' accreditation by NAAC Admission Procedure for MS Ramaiah Institute Of Technology: At Under Graduate level, Institute offers Engineering, Architecture, and Biotechnology. At Post Graduation level Institute offers courses in Management, Computer Science, and Technology. Institute also provides Research and Doctoral programs in various fields of technology.entrance examination conducted by Government of Karnataka. Eligibility Criteria for MS Ramaiah Institute of Technology, [MSRIT] Bangalore Admissions 2019: • The candidate must have passed 10+2 examination with minimum 50% of marks equivalent to two-year pre-university in Karnataka with science and mathematics and mandatory subjects to be eligible for admission to MS Ramaiah Institute of Technology, Bangalore. • The eligibility marks for admission is 45% in general and 40% in SC/ST category students Placements In MS Ramaiah Institute Of Technology: This college have best placement scenario, around 90% students got placed. Positions are useful For getting set in numerous organizations like Accenture, Wipro, Infotech and Infosys. Those organizations visit for mass enrollment, and around 200 understudies got put in those organizations. And They Provide compulsory internship to be found by the student. Internship is to ensure students are exposed to industry. The students are free to choose the industry they want to intern. Entry level positions are mandatory in This school with the goal that every last one of us will have mechanical presentation. MS Ramaiah Institute Of Technology Fee Structure: Course Duration Fees Bachelor of Engineering [BE]- 4 years- 2,02,000 Master of Science [Msc]- 2 years- 1,28,780 Master of Technology [M Tech]- 2 years- 1,28,780 Master of Business Administration [MBA]- 2 years- 1,08,780 Bachelor of Architecture [B Arch]- 5 years- 2,52,500 Master of Architecture [M Arch] - 2 years- 1,28,780 MS Ramaiah institute Of Technology Reviews: Ms Ramaiah is one of the premium engineering college which provides top notch education especially in all engineering streams good placement opportunities excellent teaching staff world class lab facilities. One of the top ten colleges in Karnataka. Situated close to premier institute such as Indian institute. of science, Raman research institute, cpri etc. Direct Admission In MS Ramaiah Institute Of Technology: MS Ramaiah Institute Of Technology is a outfitted with an extensive, aerated and cooled library with more than 1,20,300 books with membership to in excess of 300 worldwide furthermore, national diaries. The advanced library buys into a few online e-diaries like IEEE, ASCE Computerized Library, and so on. MS Ramaiah Hostel offices are additionally accessible for young men and young ladies inside grounds. MS Ramaiah Institute Of Technology College Exam Dates And Application: •Sale of Application form In the month of March •Last date of submission of Application form Info not available •Admissions are made to BE on the basis of merit (academic + entrance exam- KEA/ COMEDK) Contact us @ 9620044999 For Admission guidance If you need any further assistance regarding admission to your favorite university institution, feel free to contact us! 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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 • 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 HIVE

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 HIVE II. PIG • Basics • Installation and Configurations • Commands….

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

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