The Evolution of Data 3.0

October 17, 2022

Today, massive amounts of data are collected, processed, and stored for a range of analytical purposes around the world. Every customer, device, transaction, email, and image leaves a data trail. At present, this data is growing too big, changing too fast, and becoming hyper distributed. The traditional ways of doing integration and analytics are no longer viable or scalable. It is not feasible to create millions of data pipelines and to continue moving large amounts of raw data to a data lake or a centralized data warehouse.

Spotlight

Infforay Pte Ltd.

Infforay is a Professional Services Consulting firm providing solutions and thought leadership around the Business Intelligence, Data Warehouse Process and Data Analytics based applications. While taking a partnership approach to delivering client solutions, Infforay develops and deploys these services based on a technology neutral framework. Founded in 2009, the company has built it's consultancy based on highly skilled individuals who have served on client projects globally, including Fortune 500 companies in US, Canada, Australia, Singapore, India, and South East Asia…

OTHER WHITEPAPERS

Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

whitePaper | June 24, 2022

The reactive approach to discovering, analyzing, and correcting data quality issues in business applications has been marginally effective throughout the era of data consolidation for analytics (data warehousing, etc.) and the subsequent onset of “big data.”

Trellix Data Protection

whitePaper | August 2, 2022

The volume of data has exploded across all sectors in the last decade. Enterprise data has grown enormously, and organizations must contend with more unstructured data than ever. In fact, 95 percent of businesses cite the need to manage unstructured data as a challenge.

SQL to NoSQL: Architecture Differences and Considerations for Migration

whitePaper | May 26, 2022

Since their invention in 1970 by Edgar Codd, relational databases have served as the default data store for almost every IT organization, large or small. Today, the most iconic and familiar relational databases include IBM DB2, Oracle Database, Microsoft SQL Server, PostgreSQL, and MySQL.

Deck 7 Webinars and Virtual Events

whitePaper | January 1, 2020

If you recognize some of these challenges, download the Deck 7 Webinar & Virtual Events overview to see how we make it easy for busy marketers to run highly successful webinars and virtual events....

Ventana Research Data Platforms Value Index 2023

whitePaper | January 18, 2023

Ventana Research performed this research and analysis independently. Our goals were to determine the Value Index for Data Platforms and to evaluate vendors and products in accordance with the Ventana Research methodology and blueprint. We charged no fees for this research and invited to participate all vendors that are delivering relevant data platform products and services. This report includes products generally available as of September 30, 2022.

Implementing an Operational Data Layer for Product Catalog Modernization

whitePaper | September 27, 2022

The product catalog is at the heart of any retail company- simply put it is the window into the list of all products that are for sale and their information. These days that information can be extensive- from name, dimensions, price (and per-store price) to images, videos, and third party reviews.

Business Intelligence, Big Data Management

The Evolution of Data 3.0