BigQuery now supports manifest files for querying open table formats
Read about how BigQuery now allows you to use manifest files for querying open table formats.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Unravel Data Launches Cloud Data Cost Observability and Optimization for Google Cloud BigQuery
New Functionality Delivers FinOps, AI-driven Cloud Cost Management and Performance Optimization for BigQuery Users.
How Let's Encrypt Powers Confluent Cloud to Automate Its Certificate Operations
Since the inception of our cloud journey, we have extensively utilized Let's Encrypt because it has been very reliable, fully automated, open, and free. Today, we’re proud to become an official sponsor of Let’s Encrypt. In this blog post, we’re celebrating this event by explaining our journey with Let’s Encrypt, how we integrate with their service, and why we chose them.
A Guide to Mobile Analytics: Components, Techniques and Best Practices
The mobile analytics stack isn't just about collecting data; it's about making sense of user behavior on your app. It's an amalgamation of various tools and techniques that allow businesses to gauge the effectiveness of their mobile applications, measure user engagement, and optimize for better performance.
Part 2 of 4: Building data apps on BigQuery
In part 2 of our 4 part series, SVP of Product Marketing Sean Zinsmeister shares how to build embedded data apps for BigQuery 💥 Follow along at www.developers.thoughtspot.com
More On this series:
Part 1 - https://youtu.be/kWsbZPQByPA
FinOps Camp, Episode 2: Starting Your FinOps Journey
Join SanjMo Principal and Founder Sanjeev Mohan and Unravel VP of Solutions Engineering Chris Santiago as we share five tips to help organizations start their FinOps Journey. Explore the foundations of Financial Operations (FinOps) practices, processes, and technologies, then see five tips to help you put these into practice so you can assess and improve the cost efficiency of your modern data stack.
How CIOs Can Capitalize on Generative AI to Meet Their Enterprise Goals
Artificial intelligence (AI) has become a driving force in the digital transformation of businesses across various industries. As Chief Information Officers (CIOs) strive to stay ahead of the AI hype cycle in today’s competitive landscape, harnessing generative AI in particular can help them achieve their enterprise AI goals – by transforming processes, boosting productivity, and enhancing decision-making.
[Webinar Recording] How to Apply Generative AI Securely Within Your Enterprise
ChatGPT is all the rage, but companies like Apple, Samsung, Goldman Sachs, and other large enterprises are banning its use, realizing it’s not secure to use with their own internal data. So how can your organization benefit from generative AI while keeping your data and company IP private – and at the same time, drive performance and decrease running costs?
New Forrester Consulting study: Talend brought 355% return on investment in three years
What sets successful organizations apart from others today? They extract value from their data, turning it into an asset that helps drive the business forward. To get to that point, an organization — of any size — needs real-time, consistent, connected, and trusted data to support critical business operations and insights. However, many stumbling blocks can cause organizations to fail when executing their data strategy.
Best GCP ETL Tools & Alternatives
Google Cloud Platform (GCP) is a large, cloud-based suite that includes tools for computing, storing data, networking, analyzing big data, networking, managing APIs, and exploring artificial intelligence. The suite includes at least three GCP ETL tools (Cloud Data, Fusion, Dataflow, and Dataproc). However, some users might find that they benefit from a third-party, no-code/low-code ETL platform.