Remove webinars building-high-performing-data-engineering-teams
article thumbnail

4 Tips for Processing Real-Time Data

CIO Business Intelligence

Real-time data processing is an essential capability for nearly every business and organization. It underlies services such as identity management, fraud prevention, financial transactions, recommendation engines, customer relationship management, and social media monitoring. Real-time Data Scaling Challenges.

article thumbnail

Assessing and interviewing data engineers from a distance

Insight

With a properly designed interview process, teams can effectively and efficiently assess whether an applicant has the right set of data engineering skills without having to physically be in the same room. We recently shared some of our best practices during a live webinar (you can watch the video here ).

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Change The Way You Do ML With Applied ML Prototypes

Cloudera

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. With almost all of the Fortune 500 and a majority of the Global 2000 relying on Cloudera for their most important data assets, Cloudera’s Machine Learning product (CML) is the way enterprises do ML.

article thumbnail

Day in the Life of an Industry Analyst at Gartner’s (Virtual) IT Symposium Xpo 2020 – Day 3

Andrew White

Communications & High Tech; Consumer and Entertainment 2. Topics : (broader/full) Data and Analytics Strategy 14. Data and Analytics Governance and/or MDM 10. Data Management 3. Data Monetization 1. Chief Data Officer/CDO 4. Director Database Engineering 1. Data Governance 1. Bio/Pharma 1.

IT 52
article thumbnail

Day in the Life of an Industry Analyst at Gartner’s (Virtual) IT Symposium Xpo 2020 – Day 4

Andrew White

Almost every organization I spoke to is struggling with data and analytics and trying to work out how to re-engineer how their business leaders take decisions. Communications & High Tech; Consumer and Entertainment 4. Topics : (broader/full) Data and Analytics Strategy 20. Data and Analytics Governance and/or MDM 15.

IT 52
article thumbnail

Why erwin Data Intelligence 12 led me to Quest

erwin

Last week, Quest released erwin Data Intelligence by Quest version 12.0, a pivotal release for erwin Data Intelligence customers. Industry analysts, data domain field experts and erwin Data Intelligence customer advisory board members have all shown positive early reactions to its new capabilities in several key areas.

article thumbnail

How To Succeed As a DataOps Engineer

DataKitchen

What makes an effective DataOps Engineer? A DataOps Engineer shepherds process flows across complex corporate structures. A DataOps engineer runs toward errors. Errors are an inherent part of data analytics. A DataOps Engineer embraces errors and uses them to drive process improvements. Curating Processes.

Testing 246