Four ways to write faster data models with Wizard for dbt Core
Transforming your data is an essential part of ELT. Learn how Fivetran’s Wizard for dbt Core™ and BigQuery can help.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
The Denver Broncos score a better fan experience with Fivetran
The Denver Broncos are tapping into the #moderndatastack to score a touchdown in fan engagement. With the help of Fivetran, the team efficiently centralizes massive data from CRM, Qualtrics and many other sources into Snowflake — unlocking a 360-degree view of their fans and a winning fan experience.
[DEMO] Building Customer 360 views with healthy data
Don’t let bad customer data sink your business. To provide the best customer experiences, you need healthy data. See an in depth, step-by-step technical demo of how Talend can help you achieve healthy data so you can understand who your customers are, what they want, and how to meet their needs.
Optimize your data modeling with Wizard for dbt Core
Our newest Visual Studio Code extension, Wizard for dbt Core™️, helps data analysts create data models in dbt more easily. In this quick demo, you'll learn about 5 new features, including error highlighting, autocompletion, query compiling and more.
Using Time Series Charts to Explore API Usage
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.
Data Lakes: The Achilles Heel of the Big Data Movement
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.
6 most useful data visualization principles for analysts
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.
Universal Data Distribution with Cloudera DataFlow for the Public Cloud
The speed at which you move data throughout your organization can be your next competitive advantage. Cloudera DataFlow greatly simplifies your data flow infrastructure facilitating complex data collection and movement through a unified process that seamlessly transfers data throughout your organization. Even as you scale. With Cloudera DataFlow for Public Cloud you can collect and move any data (structured, unstructured, and semi-structured) from any source to any destination with any frequency (real-time streaming, batch, and micro-batch).
Choosing The Best Approach to Data Mesh and Data Warehousing
Data mesh is being talked about a lot to describe the way data is managed across the organization. But what does it really mean for your organization’s data management strategy and how can its framework support your business needs and drive data pipeline success? On a high level, data mesh is about connecting and enabling data management across distributed systems.
Neustar Sets A New Bar For Accuracy In The Field Of Identity Resolutions
In this episode of “Powered by Snowflake” host Daniel Myers queries the mind of Neustar’s Head of Product and Customer Intelligence, Ryan Engle. Neustar is an Identity Resolutions Platform, responsible for powering more than 90% of caller ID in the United States. This conversation covers fascinating topics such as the challenges of sharing customer data in a highly regulated industry, how the Native Application Framework allows Neustar to work directly within their clients’ environments, and how Snowflake “auto-magically” keeps data fresh and up to date.