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
Topic: Data management
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
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, …
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
Data Prep Key Part of Automating Integration
One particularly time-consuming and manual integration process step that could benefit from automation is data preparation.
6 Rules for Energizing the Data Behind Industrial AI
Companies must rein in big data to ensure their industrial AI systems are delivering the right insights at the right
Data Enrichment: A Trend That’s Only Going to Get Bigger
From logistics to fraud prevention and across industries, data enrichment is being used, providing new insights and streamlining processes.
6Q4: Data Council’s Pete Soderling, on Data Council Austin and the Importance of Community in Data
Upcoming Data Council Austin event founder sees great value in bridging the gap between data science, engineering, and
A Good Data Analytics Program Relies on Good DataOps
If your DataOps process is not well understood, it might lead to inconsistencies in your data and in your analytics