Bucketing is a method in Hive which is used for organizing the data. It is a concept of separating data into ranges known as buckets. Bucketing in hives comes helpful when the use of partitioning becomes hard. A user can determine the range of a specific bucket by the hash ... Read More

The full name of the RDD is a distributed database. Spark performance is based on this ambiguous set, enabling it to consistently cope with major data processing conditions, including MapReduce, streaming, SQL, machine learning, graphs, etc. Spark supports many programming languages, including Scala, Python, and R. RDD also supports the ... Read More

Data was previously stored in relational data management systems when Hadoop and big data concepts were not available. After introducing Big Data concepts, it was essential to store the data more concisely and efficiently. However all data stored in the related data management system needs to be transferred to the ... Read More

The Hadoop framework is open-source that has the ability to expand computation and storage. A spread environment across a host of computers lets you store and process big data. As an alternative, Spark is an open-source clustering technology. It was designed to speed up computing. This product enables whole program ... Read More

Apache Hadoop is a data file system, but to perform data processing, we need an SQL, such as a language that can change data or make complex data conversions according to our requirements. Apache PIG can achieve this data manipulation. An advanced writing language like SQL is used with Hadoop ... Read More