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The move to the cloud continues at a fast pace and if your organization embraces the future of operational reporting, then you need a plan to ensure consistent enterprise-wide reporting during your cloud journey. A top challenge of cloud migration is the need to produce consolidated reporting and analytics that cover all your Oracle ERP instances.

There is a long history of clustering architectures with respect to building distributed databases for two primary reasons. The first is scalability. If a cluster of nodes has reached its capacity to perform work, adding additional nodes are introduced to handle the increased load. The second is availability. The ability to ensure that if a node fails, let’s say during ingestion and/or querying, remaining nodes would continue to execute due to state replication.

Now that 2022 is over, its time to review newsworthy topics about performance in the PHP language. As this is the first time we are doing this type of blog post, please let us know your thoughts about this format and if we forgot important topics.

PHP’s dynamism has certainly created a niche for it among the languages in the programming world. The ability to create cross-platform applications and compatibility with nearly, all the modern servers tops its open-sourceness, making it all the more desirable. PHP scripts can easily be inserted into HTML files, allowing developers to transform static website code into dynamic front-end applications.

Today's smartphones are far more than a device used for calling or texting. With several apps installed, they can become your virtual personal assistant. In a mobile-centric digital world, delivering an immersive mobile experience with consistent quality is a real challenge, where QA strategy plays a critical role. Carefully planning out what should be executed is the first important step to delivering fully-functional applications, gaining high retention rates and achieving business goals.

Snowflake customers leverage the Data Cloud to bring all their data together and capitalize on the near-infinite resources of the cloud. But how can this data be used to look ahead? How can we use yesterday’s evidence to plan for tomorrow? The answer—time series forecasting. Time series forecasting is one of the most applied data science techniques in business. It is used extensively in supply chain management, inventory planning, and finance.

Change data capture (CDC) identifies and captures data changes in source systems. Here’s a list of the best CDC tools.