Systems | Development | Analytics | API | Testing

Qlik Supports the World Health Organization to Help Global Community Prepare for Future Epidemics Through Data

Qlik and its NGO partners focus on leveraging data to bring a positive impact to the world. While we are still seeing the effects of the COVID pandemic throughout society, there are tremendous lessons that we can carry forward to be better prepared for the next likely pandemic.

Industry Impact | Intelligent manufacturing operations | Short

Welcome to the Smart Factory with intelligent operation—using analytics, machine learning, A.I. and other advanced tools in real time to anticipate failures, fix inefficiencies, and optimize maintenance. As the industry's leading hybrid data platform. Cloudera empowers modern data architectures and supports on premises, public and multi-cloud deployments, delivering multi-function analytics on data anywhere with common security, governance and metadata management powered by Cloudera SDX.

7 Best Data Integration Techniques In 2023

As the pace of data grows, modern companies struggle to get a unified view and extract insights across all their disparate sources. Heck, just accessing all the enterprise datasets can be hard and requires too many email chains with the IT department. Luckily, integrating data from different systems and external sources can be simplified with the right data integration technique.

How to deliver successful AI products with Keboola?

If you haven’t been tuned in, AI products are the new “it girl” on the block, turning heads and transforming the way businesses operate. This seismic shift isn't merely a trend; it's the new norm. AI has massive implications for Keboola’s mission - helping companies create and ship better data projects faster. We’ve been helping build AI-powered products for years, but the recent innovations in the space have accelerated our efforts even further.

The Top 10 Google BigQuery ETL Tools

As the amount of data generated by businesses continues to grow exponentially, efficient and scalable ETL (extract, transform, load) processes have become crucial for managing and analyzing this data. Google BigQuery is a fully-managed, serverless data warehouse designed for super-fast SQL queries and data analysis. However, managing ETL processes in BigQuery can be complex and time-consuming. An ETL tool can help.