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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

Overview of Gartner’s data engineering enhancements article To set the stage for Gartner’s recommendations, let’s give an example of a new Data Engineering Manager, Marcus, who faces a whole host of challenges to succeed in his new role: Marcus has a problem. He sees the chance to make a difference in this new role.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275
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13 Analytics & Business Intelligence Examples Illustrating The Value of BI

datapine

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. 1) Improving The Decision-Making Process.

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Eight Top DataOps Trends for 2022

DataKitchen

A domain has an important job and a dedicated team – five to nine members – who develop an intimate knowledge of data sources, data consumers and functional nuances. For example, managing ordered data dependencies, inter-domain communication, shared infrastructure, and incoherent workflows. Rise of the DataOps Engineer.

Testing 245
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How to build a successful hybrid cloud strategy

IBM Big Data Hub

Private cloud infrastructure is a dedicated cloud infrastructure operated solely for a single organization, either on-premises or hosted by a third party. Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure. virtual machines, databases, applications, microservices and nodes).

Strategy 106
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How to choose the best AI platform

IBM Big Data Hub

Will it be implemented on-premises or hosted using a cloud platform? Key AI solutions that directly address these challenges include the following: Predictive Maintenance: AI helps manufacturers detect equipment issues through sensor data, enabling proactive maintenance and cost savings.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv.