developing-agile-data-warehouse-architecture-using-automation 
Dataversity
OCTOBER 28, 2022
In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. In essence, agile […].
CIO
JANUARY 8, 2024
Data management is another key priority for Cathay this year, as the company aims to consolidate data feeds and data repositories from its multiple data warehouses to better enable analytics in all applications, Nair says. At the same time, enterprises are increasingly pursuing zero-trust strategies.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
NOVEMBER 23, 2022
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.
CIO
APRIL 12, 2023
By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.
CIO
NOVEMBER 22, 2022
Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.
CIO
FEBRUARY 14, 2023
By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.
Timo Elliot
DECEMBER 14, 2022
Everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. The industry analysts all have a similar vision of what that agile future of business looks like. You lose the roots: the metadata, the hierarchies, the security, the business context of the data.
Expert insights. Personalized for you.
52 
Let's personalize your content