Snowflake

NOVEMBER 30, 2023

How many tables and views will be migrated, and how much raw data? Are there redundant, unused, temporary or other types of data assets that can be removed to reduce the load? What is the best time to extract the data so it has minimal impact on business operations?

Data Warehouse 116

Data Warehouse Banking Data Cloud 116

Precisely

MAY 3, 2023

You’ll hear about successes from your peers as data leaders from companies like Northwest Bank, Waste Management, Degroof, San Bernadino, Perrigo and more, join us to share their stories. How can the power of data validation and enrichment transform your business? And, see examples of big real-world results.

Data Integration 52

Data Integration Government AWS Data Governance 52

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Big data enables businesses to gain a deeper understanding of their industry and helps them extract valuable information from the unstructured and raw data that is regularly collected.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

AUGUST 21, 2015

There are many more companies like Facebook, Twitter, LinkedIn, Pandora, JPMorgan Chase, Bank of America, etc. using big data analytics to boost their revenue. Data that can be stored in traditional database systems in the form of rows and columns, for example, the online purchase transactions can be referred to as Structured Data.

Hadoop 40

Hadoop Big Data Metadata Java 40