Apache Spark and Scala
The need to leverage Big Data has become paramount in this age of information overload. Organizations have realized that all this structured and unstructured data, houses a minefield of information that can be used to uncover patterns of customer preferences, business ideas and innovations. Hadoop for many years was the undisputed leader in data analytics but a technology that has now proven itself to be faster and more efficient is Apache Spark. Designed to run on top of Hadoop, Spark can be used in real-time data analytics and process queries within seconds. Its other benefits such as ease of use, compatibility with other technologies, and ability to perform complex analytics have made it even more popular.
A career in Big Data Analytics will be very lucrative and Spark is the future. Hence we bring you a comprehensive instructor-led online training workshop that will take you from the basics to the advanced of Apache Spark development. Along with understanding its use in Big Data Analytics you will completely master the programming language Scala and concepts such as Spark Internals, RDD, SparkSQL, Spark Streaming, MLlib, GraphX and much more. Through in-depth exercises, hands on, practical assignments and case studies you would have mastered this technology by the end of this workshop and can positively help your organization through data analytics.
On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut with Credits (1 credit per hour of training).
What you will learn
- Understand the premise of Big Data and its challenges
- Understand the benefits of Apache Scala
- Master the concepts of the Apache Spark framework, and its deployment methodologies using AWS cloud
- Understand the Spark Internals RDD and use of Spark?s API and Scala functions to create RDDs and transform RDDs
- Understand Scala and its implementation
- Master the RDD Combiners, SparkSQL, Spark Context, Spark Streaming, MLlib, and GraphX
- Understand GraphX API and implement graph algorithms
You will also get:
- Online instructor led live training
- Downloadable courseware
- Coaching by industry experts
- Practical sessions for through understanding
- High quality training from the comfort of your own home
- Case studies and real world examples for better retention
