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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. Summary: 10x your data engineering game.

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Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

Jet Global

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. The challenge is collecting all that data into one place and making it understandable. Only need basic reporting tools and a UI with limited functionality.

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Ingest, transform, and deliver events published by Amazon Security Lake to Amazon OpenSearch Service

AWS Big Data

When it comes to near-real-time analysis of data as it arrives in Security Lake and responding to security events your company cares about, Amazon OpenSearch Service provides the necessary tooling to help you make sense of the data found in Security Lake. This solution assumes that you’re using a domain deployed in a VPC.

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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. Say you want to visualize your revenue data by country.

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How to choose the best AI platform

IBM Big Data Hub

Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.