Learn why successful AI initiatives require a well-executed data foundation to drive business value.

Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams. It also covers the difference between data lineage and other important data governance terms and common data lineage techniques.

If you're noticing bottlenecks or disadvantageous data silos in your enterprise workflows, enterprise automation could be the answer.

Discover how Bitrise is transforming to meet the demands of large enterprises. Learn about our past updates, current enhancements, and future plans to ensure robust security, compliance, and centralized management.

When working with JavaScript, you often deal with objects. Objects are collections of key-value pairs, where each key is a unique identifier for its corresponding value. Checking if a kеy еxists in a JavaScript objеct is a common task for developers when working with JS objects.

The journey toward achieving a robust data platform that secures all your data in one place can seem like a daunting one. But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease. Snowflake is launching native integrations with some of the most popular databases, including PostgreSQL and MySQL.

API downtime can cost businesses an average of $140,000 to $540,000 per hour. Maintaining reliable and high-performing APIs has become critical for any digital business’s success, with much at stake. This scenario is where API monitoring steps in. An important part of API management, monitoring API metrics allows organizations to detect issues rapidly and optimize their API performance.

As government agencies work to improve both customer experience and operational efficiency, two tools have become critical: cloud services and data. Confluent and Amazon Web Services (AWS) have collaborated to make the move to and management of cloud easier while also enabling data streaming for real-time insights and action. We’ll be at the AWS Public Sector Summit in Washington, DC on June 26-27 to talk about and demo how our solutions work together.

Hadoop. The first time that I really became familiar with this term was at Hadoop World in New York City some ten or so years ago. There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data.

Software testing evolved from a simple debugging activity in the 1950s to becoming integral to software development with advanced testing tools and test estimation techniques. As a C-level executive or business developer, ensuring your teams provide accurate QA effort estimates is crucial. This precision influences the project outcome and bolsters your credibility with clients. Underestimating QA efforts can lead to potential underperformance and unclear requirements.