Systems | Development | Analytics | API | Testing

Snowflake's Data Cloud for Advertising in a Cookieless World | Snowflake Summit 2021

Effective marketing and advertising is essential to driving growth, but the landscape is rapidly changing, with escalating regulatory requirements and the deprecation of third-party cookies. To succeed, businesses need to develop new, secure methods for accessing and sharing audience and engagement data. In this session with Disney, NBCUniversal (NBCU), Capgemini, and Snowflake, learn how the unique and innovative capabilities of the Data Cloud are enabling seamless data sharing without data copies or movement. Specifically, learn.

Introducing Qlik Cloud Government - Analytics for U.S. Federal Sector

Qlik would like to announce our SaaS solution for the U.S. Federal and Public Sector with Qlik Cloud Government. A new platform entirely designed specifically to meet the varied needs of our customers including the U.S. Public sector, offering a modern analytics platform built for speed, security, and scale.

ETL vs ELT: 11 Critical differences

ETL and ELT refer to two patterns of data storage architecture within your data pipelines. The letters in both acronyms stand for: So both ETL (extract, transform, load) and ELT (extract, load, transform) processes help you collect data, transform it into a usable form and save it to permanent storage, where it can be accessed by data scientists and analysts to extract insights from the data. What is the difference?

Living on the Edge: How to Accelerate Your Business with Real-time Analytics

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. But it requires you to live on the edge. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data.

Are These the 6 Best Reverse ETL Vendors for 2021?

The amount of big data that enterprises churn out is simply staggering. All this information is worthless unless organizations unlock its true value for analytics. This is where ETL proves useful. Traditional ETL (extract, transform, and load) remains the most popular method for moving data from point A to point Z. It takes disparate data sets from multiple sources, transforming that data to the correct format and loading it into a final destination like a data warehouse.

Which Tables in a Data Warehouse Use Change Data Capture

In today’s 24/7 digital world, real-time data is a necessity to stay relevant for today’s businesses. Companies who wish to remain competitive must be able to quickly respond to customer demand and adjust to market changes. Supplying business leaders with real-time information for informed decision-making can be a challenge with information spread among disparate systems.