Future of Data Meetup: Enrich Your Data Inline with Apache NiFi

In this meetup, we’ll look at the different options for enriching your data using Apache NiFi. When and why would we prefer using NiFi for enrichment over a potentially more holistic solution, like Flink or Spark? What are the limitations? And how can we get the best of both worlds, performing data enrichment with NiFi when it makes sense and using our CEP engine when that makes the most sense? Join John Kuchmek and Mark Payne to find out!

What's new in ThoughtSpot Analytics Cloud 8.8.0.cl

In this release, we’re delighted to launch in beta ThoughtSpot metrics integration with dbt — the quickest way to move from data models to business insights. We’ve also added support for dbt models on Amazon Redshift and Google BigQuery, as well as new live query connectors for Presto and Trino. Check out the highlights in this video.

7 Best Data Transformation Tools in 2022 (Pros, Cons, Best for)

The data transformation process reshapes data from a raw mess to a business goldmine by: Using a data transformation tool streamlines the entire process and saves you time and energy on these valuable but tedious tasks. In this article, we’ll explore the 7 best tools on the market for data transformations. Each tool will be evaluated with Pros, Cons, and a clear decision for who this tool is best for. Are you in a hurry?

Demo: Unravel Data - Keep Cloud Data Budgets on Track (Automatically)

Data teams need to be able to set cloud data budgets at a specific scope - and know if your various teams or departments are tracking to those budgets. But today, most data teams only know that the budget was overrun after it’s too late. With Unravel, establishing and tracking budgets to prevent overruns is easy.

How to solve four SQL data modeling issues

SQL is the universal language of data modeling. While it is not what everyone uses, it is what most analytics engineers use. SQL is found all across the most popular modern data stack tools; ThoughtSpot’s SearchIQ query engine translates natural language query into complex SQL commands on the fly, dbt built the entire premise of their tool around SQL and Jinja. And within your Snowflake data platform, it’s used to query all your tables.

Episode 1 | Data Pipelines | Data Journey | 7 Challenges of Big Data Analytics

Where does a data journey begin? With the data pipeline. Thomas Hazel begins this 7-part series on solving the biggest data analytics challenges today by starting with the building, scaling and maintenance of data pipelines. Avoid building the Taj Mahal … every 6 months … and join the data journey with us to learn about the unique approach ChaosSearch has taken.

Accelerating Projects in Machine Learning with Applied ML Prototypes

It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. In Cloudera’s recent report Limitless: The Positive Power of AI, we found that 87% of business decision makers are achieving success through existing ML programs. Among the top benefits of ML, 59% of decision makers cite time savings, 54% cite cost savings, and 42% believe ML enables employees to focus on innovation as opposed to manual tasks.