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IoT Analytics: The New Frontier in Business Intelligence

QBurst

The data engineering that precedes analytics was covered in our previous post, Data Engineering: The Heavy Lifting Behind IoT. Incontestably, industrial IoT’s claim to fame is the visibility it brings to previously inaccessible phenomena. […].

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Mulesoft, Tableau uptake fuels Salesforce growth spurt

CIO

Despite a tumultuous couple of months, strong user uptake of Tableau business intelligence and MuleSoft data automation and integration software fueled a surprising 14% year-over-year jump in revenue for Salesforce’s fourth quarter. billion, according to data from Yahoo Finance. Posting revenue of $8.38

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Data Lake vs Data Warehouse

The Crazy Programmer

Companies everywhere are handling more data than ever and all these terabytes of data need to be stored somewhere. Should you store the data in a database, a data warehouse, or a data lake? Choosing the right data storage solution will depend greatly on how the data is going to be used. Image Source.

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The Impact of IoT on Data Integration: A Transformational Journey

Dzone - DevOps

In an era where the Internet of Things (IoT) has deeply penetrated multiple facets of life—from smart homes to industrial automation—the volume, velocity, and variety of data are reaching unprecedented levels. Data integration, a cornerstone in the realm of analytics and business intelligence, has had to adapt rapidly.

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5 ways AI can help mitigate the global shipping crisis

TechCrunch

The key for startups looking to defend the quarter from disruptions is to adopt a proactive, data-driven approach to inventory management. Here are five methods we’ve been counseling clients to adopt: Use data and analytics to identify and map out the inventory being affected by the global shipping crisis.

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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. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.

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What is Streaming Analytics?

Cloudera

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases.