Systems | Development | Analytics | API | Testing

DataOps Observability Datasheet

Unravel’s AI-enabled full-stack observability for the modern data stack simplifies the way data teams monitor, observe, manage, troubleshoot, and optimize the performance and cost of large-scale data applications. Unravel also accelerates data migration to the cloud by providing a data-driven assessment plan to save time and cost while also enabling you to deploy effortlessly.

From Data to Value: Building a Scalable Data Platform with Google Cloud

At the DataOps Unleashed 2022 conference, Google Cloud’s Head of Product Management for Open Source Data Analytics Abhishek Kashyap discussed how businesses are using Google Cloud to build secure and scalable data platforms. This article summarizes key takeaways from his presentation, Building a Scalable Data Platform with Google Cloud. Data is the fuel that drives informed decision-making and digital transformation.

ThoughtSpot named a Visionary in the 2022 Magic Quadrant for Analytics and BI Platforms

Today, Gartner has positioned ThoughtSpot as a Visionary in the 2022 Magic Quadrant for Analytics and Business Intelligence Platforms, a recognition that we are so excited to continue living up to for our customers.

Sales Compensation in a Consumption Pricing World

Today’s organizations want stronger alignment between the cost of SaaS solutions and the value derived from these products. As a result, many software companies are looking at adopting consumption-based pricing models as an alternative to subscription models. With consumption-based models, customers only pay for what they use, and usage is tied directly to the value customers derive. Of course, consumption means software companies don’t experience revenue until customers use the solution.

[DEMO] Bring data experts to solve data quality issues

Supporting data health is a team sport. In this video, learn how to engage all the data experts in your organization to fight bad quality data. Extend collaboration about data and enable self-service across your organization: Talend’s Data Inventory application enables your organization to easily collaborate across multiple business and technology functions and strengthen data integrity by centrally organizing datasets, consistently applying standardization rules and proactively correcting data errors.

Future of Data Meetup (2022): Using Apache Iceberg for Multi-Function Analytics in the Cloud

Iceberg is a high-performance table format intended for large-scale analytics that ensures easy accessibility of data stored in multiple file formats common in the Hadoop ecosystem for different use cases common in the lakehouse architecture. During this meetup, we’ll assume you’ve never heard of Apache Iceberg and explain the basics: what problems the Apache Iceberg project is addressing, how iceberg works, what features iceberg tables offer and how you can put Iceberg to use in your own data projects that utilize Hive, Spark, or Impala.