Systems | Development | Analytics | API | Testing

People Were Skeptical of Data Warehouses. Now History Is Repeating.

This is a guest post by computer scientist Bill Inmon, recognized as the "father of the data warehouse." Bill has written 65 books in nine languages and is currently building a technology called textual ETL. Many years ago, there were no data warehouses. Most Ecommerce retailers relied on legacy systems with unintegrated data that couldn’t communicate with each other, resulting in data silos. Comparing data sets from these systems was almost impossible.

Performance considerations for loading data into BigQuery

It is not unusual for customers to load very large data sets into their enterprise data warehouse. Whether you are doing an initial data ingestion with hundreds of TB of data or incrementally loading from your systems of record, performance of bulk inserts is key to quicker insights from the data. The most common architecture for batch data loads uses Google Cloud Storage(Object storage) as the staging area for all bulk loads.

Accelerating IT to the Speed of Business

Businesses today adapt to change with breathtaking speed. Lines of business now follow their products out the door digitally and continue tracking usage throughout the lifecycle. This gives companies valuable insights into how customers use and interact with their products, enabling them to analyze and evolve solutions while nurturing customer relationships.

Taking charge of your health through data - Unmesh Srivastava

This episode features an interview with Unmesh Srivastava, Chief Technology Officer for P3 Health Partners. P3 Health Partners are a patient-centric, physician-led company dedicated to improving the way care is provided. We talk with Unmesh about how data can be used to predict medical issues, remote patient monitoring, value-based care, and his personal reason for going into medical tech. 3 Takeaways.

How to stop failing at data

Innovate or die. It’s one of the few universal rules of business, and it’s one of the main reasons we continue to invest so heavily in data. Only through data can we get the key insights we need to innovate faster, smarter, better and keep ahead of the market. And yet, the vast majority of data initiatives are doomed to fail. Nearly nine out of 10 data science projects never make it to production.

Introductory Guide to Business Cash Flow Planning

We all want better business cash flow and we want it yesterday. You can’t plan for emergencies, geopolitics, or sudden problems that you have no control over. But you can mitigate risks of business cash flow problems by having the right tools at your side. Business cash flow planning can get you out of a jam and save your company. Take a look at our ultimate guide to business cash flow planning highlighting.