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5 Industries That Are Being Revolutionized By Big Data

Smart Data Collective

Big data is completely transforming the way we live and the way companies conduct business. Pretty much every industry you can think of uses some form of big data technology to help optimize their business. In this article, we reveal five industries which have been reshaped by big data technology.

Big Data 112
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Variety is the Secret Sauce for Big Discoveries in Big Data

Rocket-Powered Data Science

For the modern digital organization, the proof of any inference (that drives decisions) should be in the data! Rich and diverse data collections enable more accurate and trustworthy conclusions. In “big data language”, we are talking about one of the 3 V’s of big data: big data Variety!

Big Data 103
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How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Explosive data growth can be too much to handle.

Big Data 119
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Monitoring Apache Iceberg metadata layer using AWS Lambda, AWS Glue, and AWS CloudWatch

AWS Big Data

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 126
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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

In the discussion of power-law distributions, we see again another way that graphs differ from more familiar statistical analyses that assume a normal distribution of properties in random populations. All of that “metadata” (which is simply “other data about your data”) enables rich discovery of shortest paths, central nodes, and communities.

Metadata 250
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Quantitative and Qualitative Data: A Vital Combination

Sisense

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” Quantitative data is the bedrock of your BI and analytics.

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

Sisense

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.