Rockset

JULY 6, 2022

Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. Traditional databases, with their wholly-inflexible structures, are brittle. So are schemaless NoSQL databases, which capably ingest firehoses of data but are poor at extracting complex insights from that data.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Data Engineering Podcast

AUGUST 31, 2020

You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data platforms. How does Firebolt compare to other data warehouse technologies what unique features does it provide?

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

ProjectPro

FEBRUARY 16, 2023

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. Data engineers can perform any quality checks using the DDL commands in SQL.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse. Cassandra A database built by the Apache Foundation. Database A collection of structured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

JUNE 16, 2023

Roles and Responsibilities of a Data Analyst Data mining: Data analysts gather information from a variety of primary or secondary sources. They then arrange the data in a suitable format that is simple to understand. Upkeep of databases: Data analysts contribute to the design and upkeep of database systems.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Data Engineering Weekly

FEBRUARY 12, 2023

link] Twitter: The data platform cluster operator service for Hadoop cluster management Speaking of “Big Data is Dead,” Twitter writes about streamlining the Hadoop cluster operations. Twitter in the past wrote about its move to Google BigQuery ; interestingly, Hadoop is still not replaceable internally.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52