Knowledge Hut

DECEMBER 28, 2023

If you're in the world of database management, you're likely already familiar with SQL - the powerful programming language that's used to manage and manipulate data. As data volumes increase, the demand for data professionals rises. What are SQL Tools? You may use SQL to directly address the database.

SQL 52

SQL MySQL PostgreSQL Database 52

Knowledge Hut

OCTOBER 4, 2023

Data Source Connectivity Power BI requirements support a large range of data sources, which can be connected to an app to build a dataflow to aggregate, analyze, and visualize data. Some of the supported data sources are, 1. All Under Get data, you can view the available data connection. Files Excel (.xlsx)

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 Java 40