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Big Data Training in Coimbatore | Big Data Training Institute in Coimbatore

Best Big Data Training in Coimbatore. Learn Big Data Hadoop Certification Training Courses in Coimbatore with 100% placement. To know more about Big Data Hadoop training in Coimbatore. Call Us Today.<br>

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Big Data Training in Coimbatore | Big Data Training Institute in Coimbatore

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  1. Bigdata Hadoop Training In Coimbatore CALL: 8489900331 , 8489900332 info@qtreetechnologies.com ccna training institute in Coimbatore

  2. BENEFITS OF THIS COURSE CALL: 8489900331 , 8489900332 info@qtreetechnologies.com Qtree is the best Hadoop  training institute in Coimbatore. The benefits of learning big data analytics training in Coimbatore, at Qtree will include- 100% Placement and 100% job Support even after the completion of the course Learn through real-life examples of Big Data Projects Highly experienced trainers who have over 10 Years of industry knowledge of Big data Well Equipped infrastructure with best lab facilities and classrooms Become a data scientist with an expert certified professional certification is guaranteed at the end of the course Also, avail student free benefits that include interview guidance and support as well as Resume Preparation Support.

  3. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 1: Introduction to Bigdata and Hadoop Ecosystem In this lesson you will learn about traditional systems, problems associated with traditional large scale systems, what is Hadoop and its ecosystem. Topics covered are: Introduction Overview to Big Data and Hadoop Pop Quiz Hadoop Ecosystem Quiz Key Takeaways

  4. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 2: HDFS and Hadoop Architecture In this lesson you will learn about distributed processing on cluster, HDFS architecture, how to use HDFS, YARN as a resource manager, yarn architecture and how to work with YARN. Topics covered are: Introduction HDFS Architecture and Components Pop Quiz Block Replication Architecture YARN Introduction Quiz Key Takeaways Hands- on Exercise

  5. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 3: MapReduce and Sqoop In this lesson you will learn about Mapreduce and its characteristics, advanced MapReduce concepts, overview of Sqoop, basic import and exports in Sqoop, improving Sqoop’s performance, limitations of Sqoop and Sqoop2. Topics covered are: Introduction Why Mapreduce Small Data and Big Data Pop Quiz Data Types in Hadoop Joins in MapReduce What is Sqoop Quiz Key Takeaways Hands-on Exercise

  6. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 4: Basics of Impala and Hive In this lesson you will be introduced to Hive and Impala, why to use Hive and Impala, differences between Hive and Impala, how Hive and Impala works and comparison of Hive to traditional databases. Topics covered are: Introduction Pop Quiz Interacting with Hive and Impala Quiz Key Takeaways LESSON 5: Working with Hive and Impala In this lesson you will learn about metastore, how to create databases and table in Hive and Impala, loading data into tables of Hive and Impala, HCatalog and how impala works on cluster. Topics covered are: Working with Hive and Impala Pop Quiz Data Types in Hive Validation of Data What is Hcatalog and Its Uses Quiz Key Takeaways Hands-on Exercise

  7. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 6: Type of Data Formats In this lesson you will learn about different types of file formats which are available, Hadoop tool support for file format, avro schemas, using avro with Hive and Swoop and Avro schema evolution. Topics covered are: Introduction Types of File Format Pop Quiz Data Serialization Importing MySql and Creating hivetb Parquet WithSqoop Quiz Key Takeaways Hands-on Exercise LESSON 7: Advanced HIVE concept and Data File Partitioning In this lesson you will learn about partitioning in Hive and Impala, partitioning in Impala and Hive, when to use partition, bucketing in Hive and more advanced concepts in Hive. Topics covered are: Introduction Pop Quiz Overview of the Hive Query Language Quiz Key Takeaways Hands-on Exercise

  8. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 8: Apache Flume and HBase In this lesson you will learn about apache flume, flume architecture, flume sources, flume sinks, flume sinks, flume channels, flume configurations, introduction to HBase, HBase architecture, data storage in HBase, HBase vs RDBMS. Topics covered are: Introduction Pop Quiz Introduction to HBase Quiz Key Takeaways Hands-on Exercise LESSON 9: Apache Pig In this lesson you will learn about pig, components of Pig, Pig vs SQL and we will learn how to work with Pig. Topics covered are: Introduction Pop Quiz Getting Datasets for Pig Development Quiz Key Takeaways Hands-on Exercise

  9. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 10: Basics of Apache Spark In this lesson you will learn about apache spark, how to use spark shell, RDDs, functional programming in Spark. Topics covered are: Introduction Architecture, Execution, and Related Concepts Pop Quiz RDD Operations Functional Programming in Spark Quiz Key Takeaways Hands-on Exercise LESSON 11: RDDs in Spark In this lesson you will learn RDD in detail and all operation associated with it, key value Pair RDD and few more other pair RDD operations. Topics covered are: Introduction RDD Data Types and RDD Creation Pop Quiz Operations in RDDs Quiz Key Takeaways Hands-on Exercise

  10. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 12: Implementation of Spark Applications In this lesson you will learn about spark applications vs spark shell, how to create a spark context, building a spark application, how spark run on YARN in client and cluster mode, dynamic resource allocation and configuring spark properties. Topics covered are: Introduction Running Spark on YARN Pop Quiz Running a Spark Application Dynamic Resource Allocation Configuring Your Spark Application Quiz Key Takeaways

  11. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 13: Spark Parallel Processing In this lesson you will learn about how spark run on cluster, RDD partitions, how to create partitioning on File based RDD, HDFS and data locality, parallel operations on spark, spark and stages and how to control the level of parallelism. Topics covered are: Introduction Pop Quiz Parallel Operations on Partitions Quiz Key Takeaways Hands-on Exercise LESSON 14: Spark RDD Optimization Techniques In this lesson you will learn about RDD lineage, overview on caching, distributed persistence, storage levels of RDD persistence, how to choose the correct RDD persistence storage level and RDD fault tolerance. Topics covered are: Introduction Pop Quiz RDD Persistence Quiz Key Takeaways Hands-on Exercise

  12. SYLLABUS CALL: 8489900331 , 8489900332 info@qtreetechnologies.com LESSON 15: Spark Algorithm In this lesson you will learn common spark use cases, interactive algorithms in spark, graph processing and analysis, machine learning and k-means algorithm. Topics covered are: Introduction Spark: An Iterative Algorithm Introduction To Graph Parallel System Pop Quiz Introduction To Machine Learning Introduction To Three C's Quiz 15.8 Key Takeaways LESSON 16: Spark SQL In this lesson you will learn about Spark SQL and SQL Context, creating data frames, transforming and querying data frames and comparing spark SQL with Impala. Topics covered are: Introduction Pop Quiz Interoperating with RDDs Quiz 16.5 Key Takeaways Hands-on Exercise

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