For the past 30 years, the primary data source for business intelligence (BI) and data visualization tools has generally been either a data warehouse or a data mart. But as enterprises today struggle to cope with the growing complexity, scale, and speed of data, it’s becoming clear that the data tools of 30 years ago weren’t designed to handle the enterprise data management challenges of today - especially with the growing variety and amounts of data that enterprises are generating.

The data-driven culture cultivated in modern-day organizations is focused on deriving the best possible business insights from their data. With data scattered across the globe, these organizations' most significant challenge is to break the silos of their decentralized data and gather new data for analysis in real-time. To address the data silo problem, data engineering brought forward solutions like ETL, ELT, and data integration tools.

A data warehouse is a centralized storage system for structured data. The data stored here is used for reporting, analytical processing and business intelligence.

Loadero supports three feature-rich test frameworks: Javascript + Nightwatch Java + TestUI, Python + Py-TestUI, but to expand the functionality further, we also develop custom commands for more insightful performance and load testing. One of the recent additions to the custom commands to use in your Loadero test scripts is the timeExecution() command.

Cloud orchestration platforms employ automation to manage IT operations and resources in private and public cloud infrastructure. Technologies for cloud orchestration include automated processes and tasks into a workflow to carry out particular business operations. Cloud orchestration solutions differ from cloud automation solutions as they are more like platforms than plug-and-play tools. Cloud orchestration solutions are simple tools.

These days, few people need to be convinced of the value of data. As businesses face pressure to innovate, IT is often overwhelmed with requests for custom data-driven applications. But the issue is that for many IT teams, data is still more of an obstacle than an enabler. As data sources proliferate, data access becomes a complex puzzle.

While APIs (application programming interfaces) have been around for a while, their importance has grown in recent years. Over this time, APIs have even become necessities in most business operations. Did you know that the global investment in APIs is estimated to be worth around $23.6 million annually? The numbers speak for themselves. APIs are quickly becoming a vital part of every business operation competing in the digital economy.

See how analyzing your business performance and relying on data can help you make better decisions and optimize your business operations.

The testing industry is blooming exponentially with new trends, tools, and patterns popping up constantly. Many of these new patterns claim to increase the productivity of testers and testing. Nevertheless, not all patterns increase productivity. Often, testers unconsciously fall into such anti-patterns. This article covers some common anti-patterns during agile testing, along with some tips and ideas on countering them.

A distributed database can offer benefits and tools to any company’s data storage and analytics processes — as long as they know how to use one.