Big Data & Analytics

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Big Data & Analytics

Just like Internet, Big Data is part of our lives today. From search, online shopping, video on demand, to e-dating, Big Data always plays an important role behind the scene. Sofstacks assists organizations to utilize this high volume, high velocity, and/or high variety of information assets in order to enable enhanced decision making, insight discovery and process optimization.

OUR SERVICES

Spark

Sofstacks provides Big Data analytical solutions using spark framework. By using its top of class design and abilities there is no big data problem which cannot be solved. In addition to simple “map” and “reduce” operations, Spark supports SQL queries, streaming data, and complex
analytics such as machine learning and graph algorithms out-of-the-box. Not only that, users can combine all these capabilities seamlessly in a single workflow.

Sofstacks uses Spark’s capabilities to provides built-in APIs in Java, Scala, or Python. Therefore, enableing clients to choose their own preferable language Runs Everywhere − Spark runs on Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Cassandra, HBase etc.

Hadoop

Hadoop an open source software, enables users to process the Big Data along with the massive storage capabilities. It is very popularly used by organizations/researchers to analyze the Big Data and extract patterns , trends and other information from it. Hadoop is influenced by Google's architecture, Google File System and MapReduce. Hadoop processes the large data sets in a distributed computing environment thus making it exceptionally fast.

Hive

Hive is developed on top of Hadoop. It is a data warehouse framework for querying and analysis of data that is stored in HDFS. Hive is an open source-software that lets programmers analyze large data sets on Hadoop.Using Hive, we enable our clients to perform advanced analytics on top of Apache Hadoop Distributed File System and MapReduce.

Pig

Apache Pig is a platform, used to analyze large data sets representing them as data flows. It is designed to provide an abstraction over MapReduce, reducing the complexities of writing a MapReduce program. We at Sofstacks perform data manipulation operations in Hadoop using
Apache Pig for our clients.

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