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Analytics

Ask Me Anything About Styling and White Labeling Yellowfin

Yellowfin makes it possible to combine action-based dashboards, automated data discovery, and data storytelling into a single, integrated, seamless platform — right in your user’s core workflow. Learn how to best to leverage these capabilities, starting with a walkthrough of the basics of white labeling Yellowfin along with some tips and tricks.

ELT as a Foundational Block for Advanced Data Science

This blog was written based on a collaborative webinar conducted by Hevo Data and Danu Consulting- “Data Bytes and Insights: Building a Modern Data Stack from the Ground Up”, furthering Hevo’s partnership with Danu consulting. The webinar explored how to build a robust modern data stack that will act as a foundation towards more advanced data science applications like AI and ML. If you are interested in knowing more, visit our YouTube channel now! Table of Contents.

Simplify Data Integration With Informatica's Snowflake Native App

Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud.

Getting Started with OAuth for Confluent Cloud Using Azure AD DS

Released in December 2022, OAuth support on Confluent Cloud allows Confluent Cloud users to integrate their own third-party identity provider (IdP) with Confluent Cloud, centralizing account management across all of their cloud services. This article explains how to configure Azure Active Directory DS (Azure AD DS) and Confluent Cloud so that the Azure Directory can be used to authenticate and authorize applications to use Confluent Cloud clusters.

Automate Building ML Experiments with Databricks, AutoML, and Fivetran: Predicting Wine Quality

Learn how Fivetran’s automated data movement platform allows you to quickly set up a relational database connector to the Databricks Lakehouse to move a wine quality dataset over to the lakehouse and ensure that it’s ML-ready. Then you’ll see how to use Databricks and AutoML to run classification experiments on the dataset to generate models for wine quality predictions based on a variety of parameters, including citric acid, ph, residual sugar, and sulphates. An extra bonus is that you don’t have to be a data engineer, ML engineer, or a wine expert to deliver quick value with this tech stack and approach.

What's new in Cloudera DataFlow 2.7: Change Data Capture with NiFi & Productivity improvements

Learn how the latest Cloudera DataFlow release enables Change Data Capture use cases and improves developer productivity with new features like deployment configuration export, flow version tagging and new monitoring capabilities.

Benchmark Your Metrics in Databox!

🥁 BIG NEWS: Benchmarks now available in the Databox app! Curious about how your results measure up against companies like yours? Using Benchmarks, you will be able to compare your performance to similar companies, identifying where you are ahead and where you fall behind. Now you can benchmark any metric and empower your data-driven insight right in our Databox Analytics app.