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. You may use SQL to directly address the database.

SQL 52

SQL MySQL PostgreSQL Database 52

Knowledge Hut

OCTOBER 4, 2023

Some of the supported data sources are, 1. All Under Get data, you can view the available data connection. It will allow you to connect to various alt files, including SQL database, Azure cloud, and other web platforms like Google Analytics. xlsx) – An Excel workbook encompasses a variety of data types.

BI 52

BI Systems Raw Data Business Intelligence 52

Rockset

SEPTEMBER 20, 2022

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. These databases struggle to serve low latency results during high demand periods, when a lot of users are simultaneously querying data.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 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

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