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Our Big Data Hadoop Certification Training Course helps you master Big Data and Hadoop Ecosystem tools such as HDFS, YARN, Map Reduce, Hive, Impala, Pig, HBase, Spark, Flume, Sqoop, Hadoop Frameworks, and more concepts of Big Data processing Life cycle. Throughout this online instructor-led Hadoop Training, you will be working on real-time projects in Retail, Tourism, Finance etc. This Big Data Course also prepares you for Cloudera’s CCA175 Big Data certification.
Big Data Hadoop Certification Training Course Overview
The Big Data Hadoop Certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.
You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.
As a part of the Big Data course, you will be required to execute real-life, industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce. This Big Data Hadoop training course will prepare you for the Cloudera CCA175 big data certification.
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Our LVC (Big Data Hadoop Certification Training Course) Key features:
- 48 hours of instructor-led training
- 24 hours of self-paced video
- 5 real-life industry projects using Hadoop and Spark Training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark
- Lifetime access to self-paced learning
- Aligned to Cloudera CCA175 certification exam
On completion of this Big Data Hadoop Certification Training program, you will be able to:
- Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.
- Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management
- Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts
- Ingest data using Sqoop and Flume
- Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
- Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
- Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
- Understand and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
- Gain a working knowledge of Pig and its components
- Do functional programming in Spark, and implement and build Spark applications
- Understand resilient distribution datasets (RDD) in detail
- Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
- Understand the common use cases of Spark and various interactive algorithms
- Learn Spark SQL, creating, transforming, and querying data frames
- Prepare for Cloudera CCA175 Big Data certification
Who Should Attend this Big Data Hadoop Certification Training Course?
Big Data training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including:
- Software Developers and Architects
- Analytics Professionals
- Senior IT professionals
- Testing and Mainframe Professionals
- Data Management Professionals
- Business Intelligence Professionals
- Project Managers
- Aspiring Data Scientists
- Graduates looking to build a career in Big Data Analytics
Why Choose MSys Training?
- Panel of globally acclaimed instructors with immense experience.
- 100% value for your money
- Higher pass rate in all exams
- Trusted by global leaders
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