Keeping Up With Analytics

Jen Underwood discusses the need to stay relevant in analytics and shares some tips on how to do so:

Although most analytics applications today still leverage older data warehouse and OLAP technologies on-premises, the pace of the cloud shift is significantly increasing. Infrastructure is getting better and is almost invisible in mature markets. Cloud fears are subsiding as more organizations witness the triumphs of early adopters. Instant, easy cloud solutions continue to win the hearts and minds of non-technical users. Cloud also accelerates time to market allowing for innovation at faster speeds than ever before. As data and analytics professionals, be sure to make time to learn a variety of cloud and hybrid analytics tools.

Exploring novel technologies across various ecosystems in the cloud world is usually as simple as spinning up a cloud image or service to get started. There are literally zillions of free and low cost resources for learning. As you dive into a new world of data, you will find common analytics architectures, design patterns, and types of technologies (hybrid connectivity, storage, compute, microservices, IoT, streaming, orchestration, database, big data, visualization, artificial intelligence, etc.) being used to solve problems.

It’s worth reading the whole thing.

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