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The open-source project to build Apache Parquet began as a joint effort between Twitter [3] and Cloudera. [4] Parquet was designed as an improvement on the Trevni columnar storage format created by Doug Cutting, the creator of Hadoop. The first version, Apache Parquet 1.0, was released in July 2013. Since April 27, 2015, Apache Parquet has been ...
This makes it possible for multiple users on multiple machines to share files and storage resources. Distributed file systems differ in their performance, mutability of content, handling of concurrent writes, handling of permanent or temporary loss of nodes or storage, and their policy of storing content.
The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel.
It is compatible with most of the data processing frameworks in the Hadoop environment. It provides completeness to Hadoop's storage layer to enable fast analytics on fast data. [3] The open source project to build Apache Kudu began as internal project at Cloudera. [4] The first version Apache Kudu 1.0 was released 19 September 2016. [5]
The company name refers to the character Horton the Elephant, since the elephant is the symbol for Hadoop. [4] [8] In October 2018, Hortonworks and Cloudera announced they would be merging in an all-stock merger of equals. [9] After the merger, the Apache products of Hortonworks became Cloudera Data Platform.
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
Hue is also present in the Cloudera Data Platform and the Hadoop services of the cloud providers Amazon AWS, Google Cloud Platform, and Microsoft Azure. References [ edit ]