Business intelligence (BI) is the art of extracting actionable insights from your datasets. There’s a whole stack of technologies under the hood.

More and more businesses are opting to use data lakes or, more likely, data warehouses these days, which allow them to store, analyze, and utilize their data from one convenient destination. But beyond creating reports and in-depth analytics, how can you truly operationalize your data warehouse into an even more vital part of your business's digital stack? Reverse ETL could provide some opportunities to do just that.

There are 3 critical differences between Bigtable and BigQuery.

Every day, hundreds of thousands of residents and commuters in San Francisco, California, use the public transportation services of the San Francisco Municipal Transportation Agency (SFMTA). In addition to the city’s buses, subway system, and famous cable cars, the SFMTA manages comprehensive services including bicycle and e-scooter rentals, as well as permits for road closures.

January 2020 is a distant memory, but for most, the early days of the pandemic was a time that will be ingrained in memories for decades, if not generations. Over the last 18 months, supply chain issues have dominated our nightly news, social feeds and family conversations at the dinner table. Some but not all have stemmed from the pandemic.

The global pandemic has changed B2C markets in many ways. In the U.S. market alone in 2020, consumers spent more than $860 billion with online retailers, driving up sales by 44% over the previous year.eCommerce sales are likely to remain high long after the pandemic subsides, as people have grown accustomed to the convenience of ordering online and having their goods – even groceries – delivered to their door.

Cybersecurity is at a critical turning point, especially in the wake of the global lockdown that caused companies worldwide to conduct more online business than ever before. No organization is immune to data breaches, as hackers are using more sophisticated techniques — such as artificial intelligence — to perform these cyberattacks.

Recently, I worked with a large fortune 500 customer on their migration from Apache Storm to Apache NiFi. If you’re asking yourself, “Isn’t Storm for complex event processing and NiFi for simple event processing?”, you’re correct. A few customers chose a complex event engine like Apache Storm for their simple event processing, even when Apache NiFi is the more practical choice, cutting drastically down on SDLC (software development lifecycle) time.

Earlier this year at Snowflake Summit 2021 , we announced Snowpark Accelerated , a new program for partners who integrate with Snowpark. It provides them with access to technical experts and additional exposure to Snowflake customers. It’s been incredibly exciting to watch what our partners have been building with the help of our new developer experience, which brings deeply integrated, DataFrame-style programming to the languages developers like to use.