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Important Considerations When Migrating to a Data Lake

Smart Data Collective

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. Determine your preparedness.

Data Lake 102
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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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Secure cloud fabric: Enhancing data management and AI development for the federal government

CIO Business Intelligence

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. While cloud technology has many benefits, it also poses security risks, especially when it comes to protecting sensitive information.

Data Lake 108
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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

When it comes to AI, Nafde sees risks in the vendors selected, the business-worthiness of the use case, and the cost of the initiative. To find promising use cases, Webster Bank canvassed several dozen proposals and decided to start with three that could deliver tangible benefits. It’s a significant danger with significant costs.

Risk 133
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DS Smith sets a single-cloud agenda for sustainability

CIO Business Intelligence

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. This enables the company to extract additional value from the data through real-time availability and contextualization.

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Your New Cloud for AI May Be Inside a Colo

CIO Business Intelligence

Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex.

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5 ways to maximize your cloud investment

CIO Business Intelligence

Migrating infrastructure and applications to the cloud is never straightforward, and managing ongoing costs can be equally complicated. Plus, you need to balance the FinOps team’s need for autonomy against the CIO’s need for centralized control to gain economies of scale and avoid runaway costs. Then there’s housekeeping.