The BAWorld

SEPTEMBER 2, 2021

Think about the different apps on your smartphone – Uber, Facebook, Instagram, Health, Siri, photos, music playlist, banking, etc. We generate enormous amounts of a variety of data every day. Non-technical users can also work easily with structured data. Structured Data Example. Unstructured Data. Did You Know?

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52

Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Security Starts with People.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Sisense

MAY 27, 2019

You’ve got a strong bank of existing customers whose business you can grow. According to Glassdoor and TechRepublic , data engineers work heavily with a wide range of big data tools for data structuring, management, storage and transfer such as Hadoop, Spark, Kafka, MySQL, Redis, Riak, PostgreSQL, MongoDB, neo4j, Hive, and Sqoop.

Skillset 75

Skillset Cloud Computing Big Data Visualization 75

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52