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When:

Mon 15 Apr 2019, 1:00pm–5:00pm
Sun 21 Apr 2019, 1:00pm–5:00pm
Mon 22 Apr 2019, 1:00pm–5:00pm
Sun 28 Apr 2019, 1:00pm–5:00pm
Mon 29 Apr 2019, 1:00pm–5:00pm

Where: Simplilearn Americas, Inc., Level 28, 303 Collins St, South Melbourne, Victoria

Restrictions: All Ages

Ticket Information:

  • Online Classroom Flexi-Pass: $1,299.00 ea
  • Additional fees may apply

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Listed by: batthina

Simplilearn’s Big Data Hadoop Training in Melbourne brings you to the world of data analytics involving the basics of Hadoop and the core concepts of the Hadoop framework. The Big Data Certification course focuses on the Big Data Hadoop Fundamentals, components of Hadoop ecosystem like Apache Spark, HBase, Pig, Map Reduce, Hadoop 2.7, Flume, Impala, HDFS, Yarn, etc. and how these components fit in with the Big Data processing lifecycle. Candidates willing to prepare for the Cloudera Big Data Hadoop Certification (CCA175) can take up this hadoop course which gives them the industry exposure through real-life projects in social media, e-commerce, banking, insurance, and telecommunications on CloudLab.

What are the course objectives?
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.

Why you should go for Big Data Hadoop Certification Training?
The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data and analytics might just be the type of role that you have been trying to find to meet your career expectations. Professionals who are working in this field can expect an impressive salary, with the median salary for data scientists being $116,000. Even those who are at the entry level will find high salaries, with average earnings of $92,000.

What skills will you learn in the Big Data Hadoop Certification?
Big Data Hadoop training will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. 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