• Kang siswa
• 2022 November 19 11:21
• Hadoop

For storing and analyzing large amounts of data, Hadoop is an open source framework built on Java. The information is kept on low-cost, clustered commodity servers. Its distributed file system supports fault tolerance and parallel processing. Hadoop, created by Doug Cutting and Michael J. Cafarella, stores and retrieves data from its nodes more quickly using the MapReduce programming style. The Apache License 2.0 governs the use of the framework, which is overseen by the Apache Software Foundation.

• Mister siswa
• 2022 November 17 11:31
• Azure Big Data

Since it acts as a central schema repository for other large data access resources like Apache Spark, Interactive Query (LLAP), Presto, and Apache Pig, the Apache Hive Metastore is a crucial component of the Apache Hadoop architecture. It's important to note that the Hive metastore used by HDInsight is an Azure SQL Database.

• Kang siswa
• 2022 November 16 17:02
• Azure Big Data

Using a number of technologies and methodologies, such as machine learning, Hadoop and Apache Spark, stream processing, and business intelligence, the Microsoft Azure cloud offers a range of managed services that may assist your organization in ingesting, processing, and analyzing big data (BI).

• Neng Ilha
• 2022 November 14 12:37
• Azure Big Data

The Microsoft Azure ecosystem's many cloud services provide the foundation of the big data solution known as Azure Data Lake. It enables storage, processing, and analytics by allowing enterprises to ingest various data sources, including structured, unstructured, and semi-structured data.