Apache Spark Course

Apache Spark is an open-source cluster computing framework which provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. Apache Spark offers a unique application programming interface centred on a data structure called resilient distributed dataset. This allows implementation of iterative algorithms. It requires cluster management and distributed storage systems. For Cluster Management it supports Hadoop YARN and/or Apache Mesos. For Distributed Storage Systems it supports MapR File Systems, Cassandra, Hadoop Distributed File Systems, etc.

Spark Core:
Spark Core is the foundation, it offers distributed task dispatching, scheduling and basic I/O functionalities exposed through application programming interface, e.g., Java, Python, Scala, centred on the resilient distributed dataset. Spark also provides two restricted forms of shared variables broadcast variables and accumulators.

Spark SQL:
Spark SQL is component present on top of the Spark Core that brings up new data abstraction called Data Frames. Data Frames supports structured and semi-structured data

Spark Streaming:
Spark Streaming performs streaming analytics by leveraging Spark’s fast scheduling capability. It enters data in mini-batches and performs RDD transformation on those mini-batches of data.

MLib Machine Learning Library:
Spark’s MLlib is a distributed machine learning framework on top Spark Core. It is nine times as fast as disk-based implementation used by Apache Mahout and scales better than Vowpal Wabbit.

GraphX:
GraphX is a distributed graph processing framework present on Apache Spark. It offers API for graph computation and optimized runtime for abstraction

Methodology:

We offer excellent Apache Spark course in Chennai. Spark training helps students and professionals to understand and implement cluster computing with ease which makes us the best training institute for Apache Spark in Chennai. Our curriculum is comprehensive and covers all the aspects of the Apache Spark. Our training methodology enlightens our students on Big Data Analytics and best practices to be followed during analytics which makes us the best training centre for big data analytics in Chennai.

Scope of Apache Spark:

Various positions offered for Apache Spark includes:
1. Big Data Developer
2. Data Intelligence Engineer
3. Analytics Solutions Architect
4. Software Engineer
5. Big Data – Spark Developer
6. Big Data Professional

Prerequisite to join Apache Spark Course:

1. Basic computer handling skills.
2. Drive towards Analytics
3. Prior knowledge in Scala, R Programming or Python. Preferably Scala.

Why you should learn Apache Spark in Ampersand Academy:

1. Trainer:
We have the best trainer for Apache Spark who has got several years of experience in Big Data and Analytics concepts. His teaching methods and passion for teaching make him one of the best trainers for Apache Spark in Chennai.

Modes of Training:
Classroom Training
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