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[btreesystems]

Apache Spark is an open-source distributed general-purpose cluster computing framework with (mostly) in-memory data processing engine that can do ETL, analytics, machine learning and graph processing on large volumes of data at rest (batch processing) or in motion (streaming processing) with rich concise high-level ... For More Details: BTree Systems Pvt.Ltd, Plot No:222,No:12/15 4th Avenue, Indra Nager,Adyar, Chennai-600020 Web : www.btreesystems.com E-mail:btreesystems@gmail.com https://zcu.io/LvPj:+91:+91 9566217321 +91 9500067127 . . .

[btreesystems]

Apache Spark™ has fast become the most popular unified analytics engine for big data and machine learning. It was originally developed at UC Berkeley in 2009 by the team who later founded Databricks. Since its release, Apache Spark has seen rapid adoption. For More Details: BTree Systems Pvt.Ltd, Plot No:222,No:12/15 4th Avenue, Indra Nager,Adyar, Chennai-600020 Web : www.btreesystems.com E-mail:btreesystems@gmail.com Ph.No:+91:+91 9566217321 +91 9500067127

[btreesystems]

Spark uses Micro-batching for real-time streaming. Apache Spark is open source, general-purpose distributed computing engine used for processing and analyzing a large amount of data. Just like Hadoop MapReduce, it also works with the system to distribute data across the cluster and process the data in parallel. For More Details: BTree Systems Pvt.Ltd, Plot No:222,No:12/15 4th Avenue, Indra Nager,Adyar, Chennai-600020 Web : www.btreesystems.com E-mail:btreesystems@gmail.com Ph.No:+91:+91 9566217321 +91 9500067127

[btreesystems]

Apache Spark is an open source, wide range data processing engine with revealing development API's, that qualify data workers to accomplish streaming, machine learning or SQL workloads which demand repeated access to data sets. To understand more, lets learn brief Introduction to Apache Spark. For More Details: BTree Systems Pvt.Ltd, Plot No:222,No:12/15 4th Avenue, Indra Nager,Adyar, Chennai-600020 Web : www.btreesystems.com E-mail:btreesystems@gmail.com Ph.No:+91 9566217321 +91 9500067127