Dimagi implements Passerelle Data Rocket to accelerate state and local COVID-19 response

Frontline healthcare providers don’t always have access to the latest and greatest technology. But when they are trying to fight a global pandemic with pen-and-paper tracking systems, something has to change. Dimagi is a tech company on a mission: to deliver scalable digital solutions for organizations to amplify their frontline impact.

Snowflake Data Marketplace In Action: Solving Real-World Problems with Public Data

Meet 3 data practitioners who used Snowflake Data Marketplace to answer interesting questions with public data - and gained real benefits for their companies and careers. Snowflake Data Marketplace allows data analysts, data scientists, and data engineers to access more than 650 live, ready-to-query data sets from more than 175 third-party data providers and data service providers.

Buying and selling your home with data: A Q&A with Opendoor CTO Ian Wong

While many businesses struggled to keep pace with the changing economics of a global pandemic, the real estate industry was booming. The housing market reached record-breaking heights last month, with median existing-price homes rising 17.2% over the prior year. This increase in the average cost of a house was compounded by accelerated closing times, as the average house sold in 18 days, a record low.

Spark vs. Tez: What's the Difference?

Let's get started with this great debate. First, a step back; we’ve pointed out that Apache Spark and Hadoop MapReduce are two different Big Data beasts. The former is a high-performance in-memory data-processing framework, and the latter is a mature batch-processing platform for the petabyte scale. We also know that Apache Hive and HBase are two very different tools with similar functions. Hive is a SQL-like engine that runs MapReduce jobs, while HBase is a NoSQL key/value database on Hadoop.