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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Analytics operating system Redbird makes data more accessible to non-technical users

TechCrunch

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. The New York-based startup announced today that it has raised $7.6

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Verizon accelerates 5G rollouts with automation platform

CIO

For consumers and enterprises alike, 5G offers the tantalizing promise of faster speeds, lower latency, and greater possibilities for unlocking the power of edge computing — but only if your devices can connect.

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6 strategic imperatives for your next data strategy

CIO

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 284
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Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

. “Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. The labels enable the systems to extrapolate the relationships between the examples (e.g., Heartex’s dashboard.

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5 hot IT budget investments — and 2 going cold

CIO

Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).

Budget 363
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Galileo emerges from stealth to streamline AI model development

TechCrunch

As the use of AI becomes more common throughout the enterprise, the demand for products that make it easier to inspect, discover and fix critical AI errors is increasing. Galileo monitors the AI development processes, leveraging statistical algorithms to pinpoint potential points of system failure.