Apache Spark Training

Innovians Technologies provides a professional training in Apache Spark, based on the current industry levels.An open-source distributed cluster-computing framework, Apache Spark provides an interface for programming entire clusters using data parallelism and fault tolerance. It is a unified analytics engine used for large-scale data processing.

A lightning-fast cluster computing technology, Apache Spark is designed to cover a wide range of workloads like batch applications, iterative algorithms, interactive queries and streaming.

Areas where Apache Spark is required

Business growth highly depends on how it offers its products and services to their clients and highly on how they analyse data. Apache Spark, due to its products and services, has been widely adopted by organizations like Netflix, Yahoo and eBay. It has become the largest open-source framework in Big Data, with over 1000 contributors from 250+ organizations across the world.

Features of Apache Spark:

• Processing speed is 100 times of other data analytics softwares
• Uses state-of-the-art DAG scheduler, query optimizer and physical execution engine to achieve high performance for both batch and streaming data
• Offers around 80 high-level operators, making it easy to build parallel applications
• Applications are be written in high level languages like Java, Python, R, Scala and SQL
• Supports the combination of SQL, streaming and complex analytics into one powerful application
• Allows the users to access diverse data sources
• Can be implemented on almost every platform like Hadoop, Kubernotes, Apache Mesos, Standalone or in cloud
• Uses JIRA for issue tracking

Who can get Benefits from this Training?

• Big Data Analyst
• Database Architects
• Analytics Professionals
• ETL Developers
• Business Professionals
• IT Professionals
• Software Professionals
• Big Data Analysts and Hadoop Professionals
• Research professionals
• Professionals who want to acquire a good understanding of Apache Storm
• Mainframe Professionals
• An individual interested to perform real-time analytics