Apache Spark – for faster processing
Apache Spark is 10 to 100 times faster as compared to MapReduce. To know more about Spark, please read below links: Spark Architecture Spark Ecosystem Apache Spark was Built in
SerDes – Serializer and Deserializer
Hadoop can support wide variety of data formats, commonly referred as SerDes i.e. Serializer and Deserializer. SerDes defines the Input and Output Data formats. Here are the commonly used SerDes
NoSQL – Not Only SQL
With Data moving more towards Semi-Structured lifestyle, it needs newer gadgets to play with. So here we introduce the NoSQL DBs that talks about such data and its processing differences
Hive and SQL
To start with any SQL Database, please learn: DDL – create, alter, drop, truncate DML – insert, update, delete DQL – select query DCL – grant, revoke TCL – commit,
Linux Basics – Hands-On Guide
Linux Hands-on solution …
Comparing Blockchain Platforms for Developers
Here, a Quorum of members approves any transaction as valid in a BlockChain Network via Consensus Algorithm. Biggest advantage of such Decentralized system is that there is no single point of failure.
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Big Data – A Game Changer!!!
HDFS and MapReduce are 2 building blocks of Hadoop. HDFS [Hadoop Distributed File System] is the Storage layer that stores the all the huge data files in a highly available
Database vs DataWarehouse
Database and Data-Warehouses …