Companies acquire massive amounts of data online in today’s digital age. You’ll have to transform the raw data to create usable data, whether gathering data from various sources or creating dashboards and visualizations. This is when ETL comes into play.

Learn how Synthesized uses generative AI to create privacy-preserving snapshots of BigQuery datasets.

Forrester Research recently released the Forester Wave for Streaming Platforms, Q4 2023. We are happy to share that Cloudera ranked as a strong performer, with a top three score for current offering. This score was stronger than anyone outside of one-cloud vendors Microsoft and Google, including a stronger current offering than Confluent. Cloudera is also the strongest on-prem offering and the only fully hybrid offering to achieve a strong performer score.

Dataloader.io is a widely used tool for loading data into Salesforce, but even the most experienced users can encounter errors, especially as they start to reach the platform's limitations. Understanding these errors and knowing how to resolve them is crucial for maintaining data integrity and workflow efficiency. In this post, we'll dive into some of the most common Dataloader.io errors, their causes, and how to resolve them.

Fivetran’s fraud detection solution combines data acquisition, ingestion and movement capabilities with BigQuery data analytics and machine learning.

With our new dbt Cloud™ orchestration integration, automated end-to-end data integration is now at your fingertips.

It’s not hyperbole to say that generative AI (gen AI) is radically transforming the advertising, media and entertainment industry. There has been widespread excitement about the potential of gen AI to open brand-new creative opportunities and unlock unprecedented efficiencies. At the same time, there has been understandable concern about issues such as inherent bias, deep fakes and the impact of gen AI on jobs.

Delivering transformational innovation and accurate business decisions requires harnessing the full potential of your organization’s entire data ecosystem. Ultimately, this boils down to how reliable and trustworthy the underlying data that feeds your insights and applications is. This applies to modern generative AI solutions that are particularly reliant on trusted, accurate, and context-specific data.