Systems | Development | Analytics | API | Testing

Our reflections on the 2021 Gartner Magic Quadrant for Data Integration Tools

“The data integration tool market is seeing renewed momentum, driven by requirements for hybrid and multi-cloud data integration, augmented data management, and data fabric designs.” This is what Gartner assesses in its latest Magic Quadrant for Data Integration Tools* report. And that assessment makes perfect sense. Data is the lifeblood of an organization.

How to load Salesforce data into BigQuery using a code-free approach powered by Cloud Data Fusion

Organizations are increasingly investing in modern cloud warehouses and data lake solutions to augment analytics environments and improve business decisions. The business value of such repositories increases as customer relationship data is loaded and additional insights are generated.

BigQuery Admin reference guide: Recap

Over the past few weeks, we have been publishing videos and blogs that walk through the fundamentals of architecting and administering your BigQuery data warehouse. Throughout this series, we have focused on teaching foundational concepts and applying best practices observed directly from customers. Below, you can find links to each week’s content: Query Processing : Ever wonder what happens when you click “run” on a new BigQuery query?

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.