Case Study : Elegant MicroWeb Creates Custom Apache Spark ETL Utility for Global Data Management and Analytics Firm

The Client is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner. The Client has offices in India, the United States, and the United Kingdom and provides global services focused on data integration, data analytics and data visualization.

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Apache Spark Can Satisfy Complex App Requirements!

Apache Spark Developers and the Spark Framework Can Satisfy Your App Dev Needs!

When you are contemplating a new software product development project or a software application development initiative, your team may benefit from expert IT consulting. There are many considerations and decisions to be made to successfully execute this type of project and one of them involves the type of technology, architecture, development frameworks and tools you will use to best meet your requirements.

Apache Spark Development at Your Fingertips

Spark Consulting Can Help You Achieve Data Management

Apache Spark Optimizes Data and Performance!

What is Apache Spark? The Apache Spark framework includes Spark Core to manage memory and interact with storage systems, Spark Streaming to process live data streams, Spark SQL supporting SQL with HiveQL, MLlib supporting machine-learning algorithms, regression, clustering and filtering, and GraphX supporting graph manipulation and computations. This framework makes it easier to stream data and to quickly process analytics and algorithms, so your applications will run faster and your enterprise can manage Big Data and high volume data.

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Take On the Complexities of Apache Spark with Expert Help

Apache Spark: Simplify Complex Data Management

Can Spark Consulting Help Me Simplify the Complexities of Apache Spark?

Apache Spark enables programmers with an application-programming interface that focuses on data structure. Apache Spark programming allows Spark consultants to expand the capabilities of development and programming, map functions across data, and simplify data results. The tool supports Hadoop YARN, Apache Mesos, Hadoop Distributed File System, Cassandra, OpenStack Swift, Amazon 53, Kudu, and MapR File System. It offers the Apache Spark developer a powerful tool to work in an integrated environment and simplify the programming environs.

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