With Fivetran on Azure, enterprise customers can now implement fully automated, managed, no-code data pipelines for reliable and secure data delivery.

Learn how Peter Zawistowicz increased Gremlin’s engagement among targeted accounts by over 50% in 1 quarter.

Today organizations are looking for better solutions to guarantee that their data and information are kept safe and structured. Using a data lake contributes to the creation of a centralized infrastructure for location management and enables any firm to manage, store, analyze, and efficiently categorize its data. Organizations find it extremely difficult to deal with data because the information is kept in silos and in multiple formats.

Larval is one of the most popular PHP frameworks, created especially to help developers quickly build web applications. According to builtwith.com, more than 27.5 million websites use a PHP framework, making up 14% of worldwide websites. However, you should always adhere to the following Laravel best practices to make Laravel development a breeze and reap maximum benefits.

Data plays a vital role in the growth of an organization. Companies spend large amounts of money on building data and big data infrastructures such as data vaults, data marts, data lakes, and data warehouses. These infrastructures are populated via multiple data sources using robust ETL pipelines that function throughout the day. A data infrastructure must operate 24/7 to provide real-time analysis and data-driven business insights.

In April this year, we announced that Qlik had successfully achieved Google Cloud Ready – BigQuery Designation for its Qlik Sense® cloud analytics solution and Qlik Data Integration®. We continue increasing customer confidence by combining multiple Qlik solutions alongside Google Cloud BigQuery to both help activate SAP data, and now mainframe data as well.

Introducing Bitrise sample apps: you can now get started on Bitrise without the need to connect your own app.

You’ve likely been hearing different versions of the same idea now for a while. Enterprises in every industry are investing in technology and strategies to drive more value from all their data across their entire organization.

In any application, testing is crucial, as it verifies that everything is working as expected and that what we are going to deliver to the end user is what was described in the project plan. Typically, it allows developers to inspect whether their app meets functional, performance, and UI specifications. Web applications can be tested using a variety of methods and types. These testing methods have already been combined into reusable libraries by many open-source developers.

Self service analytics (also called self-service business intelligence, or self-service BI) is a term commonly used among analytics vendors and organizations adopting BI, often in the context of being the next big thing in driving more people to use data to find insights. But what is self service analytics? How does self service analytics work? And why does self service analytics matter?