Remove 2009 Remove Java Remove Programming Remove Unstructured Data
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Apache Spark Use Cases & Applications

Knowledge Hut

Apache Spark was developed by a team at UC Berkeley in 2009. Spark also has support for streaming data using Spark Streaming. Spark is developed in Scala programming language. Though the majority of use cases of Spark uses HDFS as the underlying data file storage layer, it is not mandatory to use HDFS.

Scala 52
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MongoDB Architecture

U-Next

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. Introduction.

MongoDB 40
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Dynamic Typing in SQL

Rockset

As Peter Bailis put it in his post , querying unstructured data using SQL is a painful process. Moreover, developers frequently prefer dynamic programming languages, so interacting with the strict type system of SQL is a barrier. We at Rockset have built the first schemaless SQL data platform.

SQL 40
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What is Hadoop 2.0 High Availability?

ProjectPro

The early adopters of Hadoop 1.0 – Google, Facebook and Yahoo, had to depend on the joint venture of Resource Management Environment, HDFS and the Map Reduce programming. Related Posts How much Java is required to learn Hadoop? However, the limitations in the Hadoop Map Reduce pairing paved way for Hadoop 2.0.

Hadoop 40