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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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DS Smith sets a single-cloud agenda for sustainability

CIO Business Intelligence

The 30,000-employee company manufactures fiber-based and recycled paper packaging for large clients, including Amazon, Unilever, and Nestle, at more than 300 manufacturing sites globally, primarily in Europe, though the company has a facility in Atlanta as well.

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TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

In addition, cloud ERP solutions enable SMEs to enhance their overall productivity by reducing manufacturing time. TDC Digital caters to small factories, such as rolling door manufacturers, who use their platform to monitor their stock and production flow.

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5 ways to maximize your cloud investment

CIO Business Intelligence

Automation is also paramount here, says the CIO at a major Europe-based manufacturer who asked that his name and company not be used. “We For example, if a cloud vendor hosts a data lake that requires operational technology data to synchronize and feed back into a decision algorithm on the production line, we measure latency.

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Announcing the 2021 Data Impact Awards

Cloudera

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data.

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

In addition, companies have complex data security requirements. Misconception 5: Cloud data warehouses reduce control over your deployment Some DBAs believe that cloud data warehouses lack the control and flexibility of on-prem data warehouses, making it harder to respond to security threats, performance issues or disasters.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. Qualitative data benefits: Unlocking understanding.