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Analytics

Episode 7 | Data Lifecycle | 7 Challenges of Big Data Analytics

What is a data lifecycle? From birth to death, from source to destination, data seems to always be on a journey. If storage and compute were free or there were no laws like the “Right to be Forgotten” within policies such as “General Data Protection Regulation” or GDPR for short, organizations might never delete information. However, at scale data gets extremely expensive and customers do have liberties with regards to governance and sovereignty. Often it is the case that platforms have whole controls and procedures around the lifecycle of data. And in this episode, we will focus on the complexity of scale when it comes to the day in the life of data.

BigQuery object tables in a minute

Are you working with separate systems to analyze structured and unstructured data? Introducing BigQuery object tables, a new type of table in BigQuery that provides a structured record interface for unstructured data in Google Cloud Storage. Watch to see how object tables extend Google data cloud’s best practices of securing, sharing, and governing structured data to unstructured, without needing to learn or deploy new tools.

A Look Inside The Snowflake/Microsoft Partnership

How do two companies manage a relationship that is both competitive and supportive? Snowflake and Microsoft fall into that category. Take a peek behind the curtain of this unique partnership as “Data Cloud Now” host Ryan Green sits down with John Sapone of Snowflake and Tyler Bryson of Microsoft for an enlightening discussion.

Spend Less Time on Report Creation and More Time on Analysis

You know the old saying “work smarter, not harder?” Turns out that’s easier said than done. How can your finance team transform the way it works and add strategic value to your organization? How can you shift your focus from menial tasks to tactical execution, and ultimately from tactical to strategic activities? In most companies, financial reporting consumes an inordinate amount of time and energy.

An analytic engineering approach to self-service analytics: dbt + ThoughtSpot

In 1987, economist Robert Solow declared, “You can see the computer age everywhere but in the productivity statistics.” He noted that despite massive investments in computer hardware and software, companies saw a decrease in fundamental productivity measures.

Snowflake's Commitment to Continuously Improve Economics for Our Customers

Since Snowflake’s inception, we’ve had the needs of our customers as our North Star, with a clear focus on security and governance of data. Early on we also committed to continuous innovations to improve performance and reduce latencies, and by virtue of our business model continuously improve the economics for our customers.