Microsoft SQL Server is a relational database management system that Microsoft has created. It is a database server, which is a software product whose principal

It's all about SQL Server, MySQL, Oracle SQL*Plus, PostgreSQL, NoSQL, Hbase, Apache Pig, Apache Hive, Sqoop, HDFS, MapReduce and MongoDB
Microsoft SQL Server is a relational database management system that Microsoft has created. It is a database server, which is a software product whose principal
Throughout the year, “Big Data & SQL” published a number of articles about Apache Impala. It covers the majority of its features and functions. It’s
Here are all of the HDFS articles that have been published on this website so far. It’s basically a collection of information organized in a
This page combines all Apache Pig related posts into a single to make it more helpful and beneficial to learners. It is presented in a
This page combines all Sqoop-related topics into a single article to make it more helpful and beneficial to learners. It is presented in a hierarchical
Apache Hive is built on top of Apache Hadoop, which is a distributed, fault-tolerant, and open source data warehouse platform for reading, writing, and handling
In this article, you’ll know how to add a CHECK constraint to the existing table. CREATE TABLE ActiveCustomersSummary ( SummaryID INT IDENTITY(1,1) PRIMARY KEY, CustomerID
Depending on your needs, SQL Server allows you to use a single CHECK constraint across multiple columns or numerous CHECK Constraints across a single column.
Despite the fact that SQL Server permits the addition of multiple check constraints on a single column that is referenced by other columns in the
Have you ever used an application or filled out a web form with the radio buttons and checkboxes depicted below? Source: Google Image. Typically, the
An ENUM is a string object that has a value selected from a set of acceptable values that are explicitly listed in the column specification
Use the mysql_rds_kill_query procedure with the query’s ID to terminate any queries that are currently being processed by the MySQL server. You can query the