Success in today’s high-velocity business environments means having the correct information to make the right decisions at the right time. As marketplaces grow more competitive and customer expectations continually rise, the “right time” is often real-time. Every transaction generates a plethora of data. Anomalies within your company’s data set can represent opportunities and threats to the business.
A casual stroll through recent tech headlines in the past few years makes two things abundantly clear: investment in AI is at an all-time high, and companies really struggle to get value out of AI technology. At first glance, these ideas seem to be at odds with each other: why consider investing in a field that hasn’t lived up to the hype? If you dig into the details, you’ll notice that a gap exists between the development and production use of AI in many companies.
Snowflake’s newly announced Media Data Cloud unites Snowflake’s powerful data sharing technology, the highest standards of privacy and governance, Snowflake- and partner-delivered solutions, and industry-specific data sets to help marketers, publishers, and advertising technology businesses succeed in the rapidly changing media and entertainment industry.
In June, we announced that Java functions and the Snowpark API were available for preview in AWS. Today, we’re announcing a few additions to that preview: We’re expanding both where Snowpark is available as well as what you can do with it.
Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity.
