Upside


Why Modernizing ETL Is Imperative for Massive Scale, Real-Time Data Processing

Enterprises must modernize their ETL processes to support cloud migration and other data and analytics strategies.

Data Digest: Understanding Data Breaches, Security Culture, and Data Trust

What happens to data in a breach, building a company culture that embraces cybersecurity, and practices for improving trust in data.

DataSecOps: Applying the DevSecOps Mindset to Data Security

Organizations that adapt quickly and develop a strong DataSecOps approach with clearly communicated processes can accelerate their data-driven innovation.

Resilience in Data Services Through Mitigation and Prevention: Lessons Learned

The OVHcloud data center fire highlights how simple backups aren't enough to get your business back to normal when data is lost or unavailable -- and that simple fire code compliance may not adequately limit the risk of data loss.

Data Digest: AI Innovation, ML Data Labeling, ML Security

Forces behind AI developments, techniques for labeling data for machine learning, and how to use ML for security.

Data Stories: Emoji Use and Applications

Some facts about emoji, how to use them in visualizations, and how to process them with NLP.

Data Digest: Defining and Scaling Data Science, Data Sharing

The difference between data analytics and data science, common problems facing data science projects, and benefits of data sharing.

Executive Q&A: How Data Privacy Regulations Are Changing Marketing

The world of digital marketing and advertising is rapidly changing as data privacy laws restrict old practices for using consumer data. What can enterprises do as new regulations take a bite out of web cookies? We asked Karlsgate founder and CEO Brian Mullin for his advice.

Conducting Post-COVID-19 Analytics with Limited Data

The past year left companies with a dearth of reliable information on their customers, but there are ways to make the most of what you do have.