ITPro Today’s most-read articles about data analytics and management in 2022 explored the trends, claims, and frontiers of data. Readers learned about organizations that are investing heavily in a data-centric future, in addition to how they can improve their data science careers and business processes.
Review our 10 most-read articles about data analytics and management of 2022.
Adopting the Komprise data management platform gave St. Luke’s Health Center greater visibility into the age and location of its petabytes of data. Learn how the organization’s data storage upgrade helped its team develop effective retention policies.
In this opinion piece, ITPro Today contributor Stephen Swoyer considers the deeper meaning behind a marketing cliché: “the end of ETL.”
For our "IT Trends To Watch" series, ITPro Today contributor Terri Coles examined how the adoption of cloud-based services has changed the way we think about data mobility.
The ODSC East conference in April explored the cultural gap between data scientists and business decision makers. Here are five collaboration problems and how to overcome them.
Naranja X, Argentina’s primary credit card issuer, has learned to embrace data since adopting a fintech business model. This case study looks at the company’s upgrade to OvalEdge data catalogue and governance software.
Google Cloud announced in February that its data warehouse service, BigQuery, “natively” supports JSON data using the JSON “data type.” In this opinion piece, Stephen Swoyer unpacks that claim, questioning its marketing-driven terminology.
Astronomer.io has become a key contributor to the development of Apache Airflow open source workflow management software. Read this Q&A with the company’s director of data strategy for insight into how Airflow works, where it needs assistance, and how Astronomer.io enhances the software.
This five-part series introduces the concept of a data lakehouse, then assesses the strengths and weaknesses of its architecture as a complement to data warehouses.
The quality and reliability of data is more important than ever, making a strategy for filtering out junk data critical to enterprises. Get tips for how to identify good data and use it to support business goals.
Database management systems that can query time-series data is a key piece of next-generation software architecture. This explainer looks at the use cases for purpose-built time-series databases and their increasing relevance in data management.
- Nursing Firm Uses Concentric AI To Boost Data Risk Management
- 5 Questions for Evaluating DBMS Features and Capabilities
- MongoDB Database, Ingenuity Behind 3D Remote Site Visits
- Data Scientist Careers Are Evolving – Here’s Why
- Inside an Auto Chain’s Pursuit of Modern Data Management
What was your greatest data analytics and management achievement in the past 12 months? Tell us in the comments below!