Whitepapers
Datanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry. 
The digital business era, driven by artificial intelligence (AI) and generative AI (gen AI), demands unified, interoperable data to overcome challenges like data integrity and control concerns. IDC’s January 2024 survey of 881 respondents reveals significant investment in gen AI, emphasizing the need for centralizing intelligence about data. Read more…
With high-quality, timely data for your business intelligence and AI/ML initiatives, you can improve business efficiency, mitigate risks, enhance the customer experience, and improve insights for better business outcomes.
Learn how Reltio platform uses ML and gen AI to automate entity resolution, improve data quality, and boost data steward productivity—setting a new standard for efficiency and value in data unification. Read more…
Discover cutting-edge strategies to elevate your quant trading with our eBook, Seven Innovative Trading Apps and Seven Best Practices You Can Steal. This essential read explores advancements in data management, including streaming analytics, time-series data, generative AI, and vector databases. Read more…
“Quant Trading Data Management by the Numbers” is a must-read for financial professionals seeking to master the complexities of high-volume, low-latency, and time-series data in quantitative trading. This comprehensive guide explores the six core applications that drive capital markets, shedding light on the limitations of traditional databases. Read more…
In today’s data-driven world, financial organizations must harness innovative technologies to stay competitive. “Unlock 11 Insights to Boost Your Data and Analytics Performance” is an essential eBook that addresses the urgent need for rapid, reliable insights in Trading Analytics, Quantitative Modelling, and Risk Management. Read more…
Cost reduction is a key selling point of cloud data warehouses.
With serverless architectures, near-infinite compute and storage, and pay-as-you-go pricing, cloud data warehouses can make teams more efficient and cost-effective. Read more…
Have you ever tried driving real-time updates to customers from your data warehouse? Or optimized a conversion funnel using real-time data? If so, you’ve probably suffered the pain of pushing your data warehouse past its limits. Read more…
Kafka: A Data Store with Some Database-like Properties
Database technology is absolutely critical for business success. While not commonly thought of as a database, Apache Kafka, the open source stream-processing software platform, has many unique properties commonly associated with a database that can absolutely fill the need for storing data, including the scalability, reliability, and performance. Read more…
With data-driven initiatives central to modern success, it’s incredibly important that this data is kept from falling into the wrong hands.
Access control models achieve this goal by limiting who is allowed to see what data and for which reasons. Read more…
Seeking an introduction to widely used big data engines and frameworks?
Download our whitepaper for insights into the fundamentals of data engineering for machine learning. Including information on key data engines such as Apache Spark, Apache Hadoop, Trino and Airflow. Read more…
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