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

Furthermore, Glue supports databases hosted on Amazon Elastic Compute Cloud (EC2) instances on an Amazon Virtual Private Cloud, including MySQL, Oracle, Microsoft SQL Server, and PostgreSQL. You can produce code, discover the data schema, and modify it. Why Use AWS Glue? AWS Glue automates several processes as well.

AWS 98

AWS Scala Metadata Data Lake 98

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. Compare and sync servers, data, schema, and other components of the database Transaction Rollback Functionality that mitigates the need for short-term backup.

SQL 52

SQL MySQL PostgreSQL Database 52

Knowledge Hut

OCTOBER 4, 2023

Azure Azure SQL database Azure blob storage Azure Synapse Analytics SQL Azure Database for PostgreSQL 5. It will ingest the data through Power BI and leverage the complete power of machine learning for easy collaboration.

BI 52

BI Systems Raw Data Certification 52

Rockset

SEPTEMBER 20, 2022

Image Source There are several companies that enable users to analyze on-chain data, such as Dune Analytics, Nansen, Ocean Protocol, and others. Many of these services, as well as the dApps they may support, are built on transactional (OLTP) databases such as PostgreSQL, DynamoDB, MongoDB and others.

MongoDB 52

MongoDB PostgreSQL SQL Database 52

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 Java 40

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