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Analytics

Databases Demystified Lesson 3: Row vs Column Store

In Michael Kaminsky's third episode, we learn about the differences in row store vs column store database. This is a very important concept for understanding the difference between analytical and transactional databases, and we talk about the tradeoffs between using row and column stores for saving the data. Michael gets into the weeds and talks about disk blocks and the different types of queries that work well for row and column stores.

Answer Data-Driven Digital Business Wake-Up Call With QlikWorld

If “necessity is the mother of invention,” COVID-19 forced many businesses around the world to rethink their digital transformation, data and analytics strategies. Out of every crisis, there will be opportunities. Although the current pandemic has certainly acted as a black swan event in some cases impeding progress, it has, nonetheless, accelerated several of the trends already pushing toward a digital future.

Enterprise Data Platforms - Should Organizations Build or Buy?

“Build vs Buy” is an important decision every technology strategist has to make. With the rise of open source and the wealth of freely available software, organizations have the flexibility to build custom solutions when off-the-shelf solutions don’t directly address their needs. In the domain of enterprise data platforms, many organizations have leveraged the open-source ecosystem to build tailored solutions, expending a lot of resources in the process.

Anodot - Autonomous Business Monitoring

Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. Anodot reduces detection and resolution for revenue-critical issues by as much as 70%. We have your back, so you’re free to play the offense and grow your business.

Anodot - Autonomous Business Monitoring

Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. Anodot reduces detection and resolution for revenue-critical issues by as much as 80%. We have your back, so you’re free to play the offense and grow your business.

Analyzing key drivers behind life expectancy with Yellowfin

Presented in the recent Gartner Showfloor Showdown event, we analyzed health indicator data to discover key drivers behind life expectancy in Australia. Along the way, we identified some interesting insights within the data. Watch this demo as we perform a walkthrough of Yellowfin and experience the platform through the eyes of data analyst.

Thanks to COVID-19 everyone is a data interpreter

One of the most interesting developments coming out of the current COVID-19 crisis is that people are looking at and interpreting data like never before. People that have never expressed an interest in data are now thinking about data and trying to understand what it means for them. There is a lot that businesses can learn from this. With COVID-19, people are taking the time to look at highly complex data, distill it, and assess what it means for their own behavior and lives.