Faster Data Access Still A Priority Post Pandemic
The average organization currently has between four to six data platforms in their data ecosystem, with 10 percent having ten to twelve data platforms. The …
Topic: Big Data
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
Real-time Analytics News for Week Ending April 9
In this week's real-time analytics news: IBM unveiled its new system that delivers real-time AI for transaction processing at scale.
Time Consumed by Data Prep: Is This a Bad Thing?
Data professionals are spending too much time on data prep, but the quality assurance that provides ensures projects are working with clean data
Major Integration Challenges of Today and How to Overcome Them
We discuss integration challenges and how the use of AI, no code and low code techniques, and automation can help companies overcome
Cloud Data Offers Airlines a Way to Fly High Post-Covid
As the travel industry is forecast to come roaring back in 2022, the ability of airlines to migrate to cloud-based data solutions will determine who comes out …
Overcome These Four Bad Data Quality Categories
It is essential that organizations assess the need for improved data quality and make the necessary changes to save not only their reputation but the bottom …
Change Data Capture and the Many Roles it Can Play
In modern microservices-driven architectures, CDC has gained new importance by providing a bridge to connect traditional databases with cloud-native, …
Data Council Austin: A Melting Pot for Everyone Working with Data
Data Council Austin organizers emphasize the technical diversity of the audience and topics covered as a true differentiator for the
Real-time Analytics News for Week Ending March 26
In this week's real-time analytics news: NVIDIA's GTC conference saw many new offerings from the company and its partners to accelerate AI and extend its use …
Avoiding the Skepticism-driven Culture of Data Downtime
Data downtime creates a downward spiral of company culture, stopping companies from achieving the degree of data-driven decision-making that they aspire