In the age of transformation, agility is critical for companies to remain competitive. Continuous integration/continuous deployment (CI/CD) is an automated software delivery process that empowers development teams to respond to market demands quickly. The process helps companies deploy new features as often as every few hours. This is ideal for teams using APIs to modernize legacy systems as a part of their digital transformation strategy.

The benefits of moving your on-prem Spark Hadoop environment to Databricks are undeniable. A recent Forrester Total Economic Impact (TEI) study reveals that deploying Databricks can pay for itself in less than six months, with a 417% ROI from cost savings and increased revenue & productivity over three years. But without the right methodology and tools, such modernization/migration can be a daunting task.

The 5 best tools for visualizing e-commerce data are: Whenever you encounter a thorny business problem, data is your secret weapon. By deploying tools for business intelligence and data analytics, you can crunch very large datasets and get real-time insights to assist your decision-making process.

Here are seven key differences between data lakes vs data warehouses: A lot of terms get thrown around in the big data space that every business should understand. Many of these terms are easily confused with each other. This is the case with data lakes vs data warehouses. What are some of the most important differences between them, and how can your business use them most effectively for data analytics and data management? Read on to learn the differences between data lakes and data warehouses.

Five differences between using an ETL platform vs. writing your own code: The ETL (extract, transform, load) process is one of the most critical, and one of the most challenging, parts of enterprise data integration. But what if we told you there was a low-code ETL solution to your problems?

Functional testing is one of the final steps before a software application goes live, and it’s designed to ensure critical user paths are operating correctly. It’s a kind of black box testing that doesn’t evaluate the underlying code of the application, but instead tests whether a specific input leads to an expected output in the user interface (UI).

The past two years have seen significant disruption across sectors, markets and technology dynamics, forever changing the way businesses, workers, and customers use data. But while global conditions have created uncertainty, it’s also driven more opportunities for organizations to optimize processes to respond faster to evolving customer demands, competitor shifts, and new risks - leveraging new, innovative data solutions.

Traditionally in the Software Development Life Cycle (SDLC), a patch is a fix, a quick repair job, or a piece of programming designed to resolve functionality issues, improve security, and add new features. Throughout its lifetime, the software gets frequent errors called bugs which produce unexpected results, and a patch is an immediate fix to those problems. Applying modifications to the Oracle Fusion Applications environment is called Oracle Patching.

In March, Snowflake continued to enhance its capabilities around data programmability and data pipeline development, with the Snowpark API and stored procedures for Java now in public preview, schema detection now generally available, and the Snowflake SQL API generally available. In addition, Snowflake’s user interface, Snowsight, is generally available. Not to mention an expanded selection of new partners to choose from in Snowflake Data Marketplace.

Once upon a time, the retail calendar centered itself on the Christmas season. Now, the retail surge is year-round. Not just the wave of traditional seasonal holidays from Valentine’s Day to the 4th of July, but also newer sales holidays, such as Cyber Monday, or even holidays created by some gigantic companies themselves, like Amazon’s Prime Day. Now, instead of a steady pace leading up to a frenzied December, retailers are in sprint mode all the time.