The race to the cloud is on! Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. Businesses with complex data environments need a migration method that takes that complexity into account. They also need to plan for pain — and how to avoid it — to guarantee success.

5 Pain Points of Moving Data to the Cloud and Strategies for Success

The Data Race to the Cloud

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration, as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Accompanying this acceleration is the increasing complexity of data.

Many organizations continue to handle structured data, transactional data, and log data. However, collection of new data types is increasing, as experts have noticed these same organizations are now also managing internal text data, machine data, and semi-structured data at a greater percent than ever before. Complex data management is on the rise.

The Five Pain Points of Moving Data to the Cloud

5 Pain Points of Moving Data to the Cloud and Strategies for Success

Fern Halper, Ph.D., runs Advanced Analytics at TDWI. She has written hundreds of articles on data mining and information technology. Dr. Halper attributes this increase of complex data management to the growing importance of analytics. A rising demand for self-service analytics (over the reports and dashboards of old) is another factor. This spike in complexity correlates with new cloud-migration challenges, summarized below.

The Five Pain Points of Moving Data to the Cloud

  1. Data classification presents challenges when moving environments.
  2. Data governance is hard, especially when building trust and quality.
  3. Organizations lack a pain-point building plan, especially in the areas of lift and shift.
  4. The marriage of on-prem with cloud data is challenging.
  5. Organizations are in dire need of experts with key skills, including pipelining and infrastructure, for their new environments.

The Role of the Catalog in the Cloud

So, how does Alation benefit you – especially in the areas of data access and governance – during the shift from on-prem to the cloud?

Alation provides useful intel during migration, parts of which can get tricky. This is especially true for data security. Luckily, Alation covers security, as you migrate, as well. You certainly need to hear Ibby Rahmani’s insights on just how important tech ownership is in safeguarding your data – it might get you out of a pickle.

Pre-Migration Prep

But before you migrate, how do you ensure you choose the right provider? Whether you’re DevOps or machine-learning oriented, Ibby recommends that a little of your own exploration can go a long way.

Once you’ve chosen the right cloud providers, you’ll come face-to-face with the hardest part: ensuring trust through active data governance. As an expert in this space, Ibby offers hard-won advice on this challenging task. The centrality of data development is crucial. Collective buy-in from your team is also a key piece of the puzzle.

Stick around after the end of the conversation for some audience Q&A to fill you in on cloud usage fees and data visualization as part of a larger cloud-migration strategy. Moderated by TDWI’s Jim Powell and Fern Halper, Ph.D., this fireside chat is guaranteed to educate, and dare we say, delight.

Check out the fireside chat for a pain-free journey into the cloud!

The Catalog is the Platform for Data Intelligence white paper

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