2018 Data Analytics Data Warehouse 
Cloudera
DECEMBER 19, 2018
Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.
datapine
SEPTEMBER 27, 2022
Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.
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Alation
FEBRUARY 13, 2020
According to Gartner, “By 2020, organizations that offer users access to a curated catalog of internal and external data will realize twice the business value from analytics investments than those that do not.”*. Gartner, Magic Quadrant for Metadata Management Solutions, Guido De Simoni, Alan Dayley, Roxane Edjlali, 9 August 2018 .
Cloudera
AUGUST 2, 2018
In each of the cases outlined above, the technology enabler is a new generation of data warehouses. We call it ‘Modern Data Warehousing’. Simply put, modern data warehousing enables our customers to confidently share petabytes of verified data across thousands of users while surpassing demands of SLAs and limited budgets.
AWS Big Data
DECEMBER 8, 2023
More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.
IBM Big Data Hub
JANUARY 10, 2023
This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table.
Cloudera
DECEMBER 12, 2018
After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.
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