As today’s database administrators (DBAs) manage the complexity of modern database environments, particularly containerized systems, they must lean into smart automation to transform database ...

Hadoop, an open-source software framework, has become increasingly popular for storing and processing big data. With its renowned ability to handle enormous amounts of data, Hadoop is used by numerous ...

SQL on Hadoop is a framework that allows users to leverage the power of Apache Hadoop in running Structured Query Language (SQL) queries. Apache Hadoop is an open-source software platform that is ...

Abstract: Hadoop is now the de facto standard for storing and processing big data, not only for unstructured data but also for some structured data. As a result, providing SQL analysis functionality ...

Both Excel and SQL databases have their pros and cons. But most people are more familiar with Excel than a database. For this reason, you might want to turn your Excel into a sort of SQL database ...

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at org.elasticsearch.spark.sql.SchemaUtils$.discoverMapping(SchemaUtils.scala:91) at org.elasticsearch.spark.sql.ElasticsearchRelation.lazySchema$lzycompute ...

Big Data Clusters supports deployment time and post-deployment time configuration of Apache Spark and Hadoop components at the service and resource scopes. Big Data Clusters uses the same default ...

SQL query processing for analytics over Hadoop data has recently gained significant traction. Among many systems providing some SQL support over Hadoop, Hive is the first native Hadoop system that ...