What is SQL on Hadoop?

SQL-on-Hadoop is a class of analytical application tools that combine established SQL-style querying with newer Hadoop data framework elements. By supporting familiar SQL queries, SQL-on-Hadoop lets a wider group of enterprise developers and business analysts work with Hadoop on commodity computing clusters.

Which of the following is an open source SQL query is engine for Apache HBase?

Impala
The bottom line: Impala is an open-source solution for interactive SQL queries over HDFS and HBase.

What is Impala SQL?

Impala is a MPP (Massive Parallel Processing) SQL query engine for processing huge volumes of data that is stored in Hadoop cluster. It is an open source software which is written in C++ and Java. It provides high performance and low latency compared to other SQL engines for Hadoop.

What was the first SQL on Hadoop application?

Hive
Hive was arguably the first SQL engine on Hadoop – it was designed to receive SQL queries from any source and process them directly against data stored in Hadoop.

Which of the following is used to Analyse data stored in Hadoop cluster using SQL LIKE query?

Apache Hive
Ans. Apache Hive is a data warehouse infrastructure tool build that is used to process structured data in Hadoop. It helps in data summarization, analyzing datasets, and ad-hoc queries. It offers an easy way to structure an abundance of unstructured data and executes SQL-like queries with the given data.

Which of the following is used to Analyse data stored in Hadoop cluster using SQL-LIKE query?

Is an open source SQL query engine?

Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.

What is hive and Impala?

Impala and Hive are both data query tools built on Hadoop, each with different focus on adaptability. You can use Hive for data conversion first, and then use Impala to perform fast data analysis on the resulting data set processed by Hive.