Technologies

Apache Spark

Apache Sparkis a fast and general engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Apache Spark™ is a fast and general engine for large-scale data processing.

Speed

Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.

Apache Spark has an advanced DAG execution engine that supports acyclic data flow and in-memory computing.

Logistic regression in Hadoop and Spark

Ease of Use

Write applications quickly in Java, Scala, Python, R.

Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python and R shells.

Generality

Combine SQL, streaming, and complex analytics.

Spark powers a stack of libraries including SQL and DataFramesMLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application.

Runs Everywhere

Spark runs on Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Cassandra, HBase, and S3.

You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, or on Apache Mesos. Access data in HDFSCassandraHBaseHiveTachyon, and any Hadoop data source.

 

Case Studies

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MANAGED SERVICE FOR APACHE CASSANDRA

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LOAD TESTING HTTP API

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INGESTION ETL

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IMPLEMENTATION OF IoT SENSOR PLATFORM