Data Scientist, ‘Sexiest Job of the 21st Century,’ Could Fall to AI
As AI continues to simplify and automate many of the foundational tasks within data science, the field may face a reckoning on what it truly means to be a data …
Topic: Big data analysis tools
Real-time Data Processing at Scale for Mission-critical Applications
As the demand for real-time insights and decision-making continues to grow, the ability to process and analyze data instantly is becoming a competitive …
Top Reasons to Move from Essbase to Next-Gen OLAP on the Cloud
While Essbase has been a steadfast ally to finance and budgeting teams, evolving expectations require a recalibration of analytical tools and ecosystems. The …
Superior Data Analysis Needed for the Cybersecurity Industry
While having the right tools to manage today's influx of data is crucial, cybersecurity teams must also have the right skills to carefully comb through and …
Bringing Data Pipelines and Strategies into Focus
A recent Eckerson Group event for CDOs focused on how to evaluate, select, and implement data pipelines and products.
The Semantic Layer’s Role in Analytics and Data Integration
When performing advanced analytics against data that is both too wide and big, semantic layers are making a difference in how information is found, used, and …
Data Management and AI: Creating Value at the Edge
By applying edge-specific capabilities and AI integration at the data source, businesses can eliminate inefficiencies, gain greater operational awareness, and …
Operationalizing Data and Analytics
Organizations need a data analytics platform and data analytics tools that assist throughout the entire journey from data ingestion to insights.
How Data Will Dictate What’s Next in the Streaming World
Giving viewers personalized experiences in real-time has become a requirement for any streaming service that wants to stay on
Data Sharing & Marketplaces: Enabling the Data-Driven Enterprise
New technology enables a wide range of data sharing models that help businesses monetize data assets without distributing or disclosing sensitive