Whitepapers
Datanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry. 
This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries, to assess trends in streaming data to cloud data lakes. Read more…
Read the new Gartner 2018 Magic Quadrant for Data Integration Tools Report to better understand which featured data integration technologies we believe could best help you achieve your data goals and help you overcome your data integration and management challenges. Read more…
To modernize data and analytics environments, Fortune 500 companies worldwide rely on change data capture (CDC) technology.
To learn more, download this book to understand how this critical technology works, why CDC is needed, and what your peers have learned from their CDC implementations. Read more…
From Data Lake to Data Marketplace. To get value from all the data you have and all the data that is coming in, both now and in the future, a new concept is needed that incorporates what has been learned from data warehouses and data lakes and also transcends them by adding crucial new capabilities. Read more…
This paper describes an experiment in which Concertio and Mellanox teamed up for accelerating a specific networking use-case running on Mellanox’s ConnectX-3 Pro Ethernet cards. The results showed that the settings discovered automatically by the AI-powered Optimizer Studio tool outperformed the best settings found through manual tuning, and were discovered faster. Read more…
During the last 25 years, manufacturers have dramatically advanced capabilities in product design and manufacturing quality. Today, the industry has turned its focus to improving customer experiences, but organizations will need to gain new skills in order to capture this value. Read more…
Some of the biggest challenges in useful machine learning, deep learning and artificial intelligence projects stem from the fact that learning systems exist in the middle of a wider workflow. Read more…
Digital transformation is now essential for corporate survival. The most significant digitization strategy over the past three years is the Internet of Things. but how does the IoT promise to drive such value? Read more…
Some of the biggest challenges in useful machine learning, deep learning and artificial intelligence projects stem from the fact that learning systems exist in the middle of a wider workflow. Read more…
Only with a rich and interactive semantic layer can the data and analytics stack to deliver true on-demand access to data, answers and insights – weaving data together from across the enterprise into an information fabric. Read more…
