Why 2023 will be all about analytics

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Data by itself is not very useful. Data only becomes useful if it is understood and incorporates application experience.

This desire to put data to work has sparked a boom in cloud-based analytics. Although a relatively small amount of IT spending is currently moving to the cloud — about 6 percent according to IDC in 2020 — the overall momentum is moving away from on-premises, legacy business intelligence tools to more modern, cloud-native options like Google BigQuery, Amazon Redshift, Databricks, or Snowflake.

The popularity of bringing data and cloud together is evident in Snowflake’s rapid rise in DB Engines’ database popularity rankings, from 170th in November 2016 to 11th in January 2023. Part of Snowflake’s success is absolutely on performance, scalability etc. due to separation of memory and computing power and other benefits.

But an even bigger advantage is probably simply the cloud. Born in the cloud, Snowflake offers a natural path for organizations looking to move to the cloud. Yes, the same cloud keeps pushing new databases over legacy alternatives. The same cloud promises to further turn the world of data upside down in 2023.

All cloud, all the time?

Although I don’t entirely agree InfoWorld Colleague David Linthicum that “2023 could be the year of public cloud repatriation”, I can agree that we should not fall blindly in love with a technology or take it as a hammer and therefore treat every business problem like a nail.

The cloud solves many problems, but not all. However, in areas related to advanced data-driven applications, the cloud is indispensable, as Linthicum acknowledges: “When it comes to advanced IT services (AI, deep analytics, massive scaling, quantum computing, etc.), public clouds tend to be more economical. ”

Not only more economical, but also more practical.

AWS Manager Matt Wood brought this case to me years ago, and it’s just as compelling today as it was in 2015.

“Those who go out and buy expensive infrastructure are finding that the problem scope and domain is shifting very quickly,” he said. “By the time they get around to answering the original question, the business has evolved.” He continued, “When you put a lot of the change in a data center that’s frozen in time,” the questions that remain are you to your data, stuck in a time warp.

Even in tough economic times, looking at clouds is spot on when narrowing down the costs. An elastic infrastructure creates flexibility in the meaningful use of data. So to speak, dollars made sense instead of dollars and cents. These are cloud-based analysis tools.

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