Transforming your data is an essential part of ELT. Learn how Fivetran’s Wizard for dbt Core™ and BigQuery can help.

In the competitive market of ETL solutions, platforms like Hevo, Fivetran and Integrate.io are amongst the top contenders. While they all are ETL/ELT platforms, each of them has their own unique set of features to offer. The best ETL tool for your business is the one that is best aligned to your requirements. So how do you decide which tool meets your business needs?

The difference between consuming data and actioning it often comes down to one thing: effective data visualization. Case in point? The John Snow’s famous cholera map. In 1854, John Snow (no, not that one) mapped cholera cases during an outbreak in London. Snow’s simple map uncovered a brand new pattern in the data—the cases all clustered around a shared water pump.

Big Data started as a replacement for data warehouses. The Big Data vendors are loath to mention this fact today. But if you were around in the early days of Big Data, one of the central topics discussed was — if you have Big Data do you need a data warehouse? From a marketing standpoint, Big Data was sold as a replacement for a data warehouse. With Big Data, you were free from all that messy stuff that data warehouse architects were doing.

One major reason for digging into API and product analytics is to be able to easily identify trends in the data. Of course, trends can be very tough to see when looking at something like raw API call logs but can be much easier when looking at a chart aimed at easily allowing you to visualize trends. Enter the Time Series chart.