Four Important Advantages of Apache Spark!

Spark is a distributed open-source cluster-computing framework and includes an interface for programming a full suite of clusters with comprehensive fault tolerance and support for data parallelism. Spark can be used effectively to provide support for Java, Scala, Python and R programming and is suitable for SQL, streaming data, processing graphs and for machine learning.

3 Reasons to Use Apache Spark!

If you are a developer, contemplating a software development project that must support Big Data, a large user base and/or multiple locations, Apache Spark should definitely be on your short list of considerations for a computing framework. In this article, we look at three reasons you should use Apache Spark in your Big Data projects.

DWH & ETL Experts Make Data Mgt Easy

Easy Data Access and Management with DWH and ETL

Data Management and Access with DWH and ETL. As Easy as Thimble Organization!

I HATE disorganization. There is nothing more frustrating than knowing you have a particular item and searching everywhere to find it, only to come up empty. I have a friend, Jenny, who collects thimbles and she has everything catalogued! From the date of purchase to the locale where the thimble was made, the age of the piece and in which display cabinet that thimble resides. SO…if she wants to know how many thimbles she has from the U.K., she can get a count. If she wants to know which thimble is the oldest, she can find that information too! Jenny created her own little database to capture and manage this information.

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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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