Knowledge Hut

DECEMBER 28, 2023

DBeaver DBeaver is a free and open-source database management tool that supports a wide range of databases, including MySQL, PostgreSQL, SQLite, Oracle, Microsoft SQL Server, and more. It has a wide range of functionality for working with databases such as MySQL, PostgreSQL, Oracle, SQLite, SQL Server, and others.

SQL 52

SQL MySQL PostgreSQL Database 52

Knowledge Hut

OCTOBER 4, 2023

Database SQL database Access database Oracle database IBM Netezza MySQL database Sybase database Power Platform Power BI dataset Dataflows 4. Azure Azure SQL database Azure blob storage Azure Synapse Analytics SQL Azure Database for PostgreSQL 5. Each row will have one or more values that are speared by common.

BI 52

BI Systems Raw Data Business Intelligence 52

Grouparoo

JANUARY 30, 2022

release is our first major iteration on the user interface for creating your data pipeline. release, we added Models, which allowed data engineers to sync multiple data schemas to Destinations. Plugins Google Sheets now acts more like SQL Sources like MySQL and PostgresQL.

PostgreSQL 52

PostgreSQL MySQL Data Schemas SQL 52

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

APRIL 26, 2016

Pig vs Hive Criteria Pig Hive Type of Data Apache Pig is usually used for semi structured data. Used for Structured Data Schema Schema is optional. Hive requires a well-defined Schema. Language It is a procedural data flow language. Follows SQL Dialect and is a declarative language.

Hadoop 40

Hadoop Metadata SQL Database 40

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Unstructured Data 40