Systems | Development | Analytics | API | Testing

Everything you need to know about the top 15 data integration tools of 2023.

Organizations need to manage data across ecosystems, develop data pipelines, APIs, insight into their metadata, and try to make sure that silos and data quality issues are managed effectively. Enter data observability platforms. This blog post looks at what drives many organizations to adopt data observability to ensure the health of your data across systems and providers.

How to preprocess data using BigQuery ML.

Uncontrolled cloud costs pose an enormous risk for any organization. The longer these costs go ungoverned, the greater your risk. Volatile, unforeseen expenses eat into profits. Budgets become unstable. Waste and inefficiency go unchecked. Making strategic decisions becomes difficult, if not impossible. Uncertainty reigns.

We partnered with American computer scientist Bill Inmon. Known as the “Father of the Data Warehouse,” he has much to say about HTAP and why it’s nothing more than a pie-in-the-sky vision of sorts.

BigQuery BI Engine is a fast, in-memory analysis system for BigQuery currently processing over 2 billion queries per month and growing. BigQuery has its roots in Google's Dremel system and is a data warehouse built with scalability as a goal. On the other hand BI Engine was envisioned with data analysts in mind and focuses on providing value on Gigabyte to sub-Terabyte datasets, with minimal tuning, for real time analytics and BI purposes.

If you currently work as a product manager, are thinking about a job in product management, or work with product managers, one thing is certain: you will hear a different definition of what a ‘product manager’ is (or does) from each person you ask. Is the product manager the “CEO of the product” (which is a broad and misunderstood definition), the person who manages the product (a much narrower view of product management), or both?