Analytics news, information, and how-to advice

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What is a graph database? A better way to store connected data

Learn why graph databases excel at exploring highly connected data, and how to leverage them in your organization

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How web annotation will transform content management

W3C standard annotation is a fundamental upgrade to the web that will bridge information silos and enable far easier content sharing and reuse

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What’s new in Apache Spark? Low-latency streaming and Kubernetes

Continuous processing and native Kubernetes support in Apache Spark 2.3 spell the end for micro-batching and Hadoop

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Helping your workforce become data-literate

How to start building a data-literate organization without extensive training

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How to bring BI and analytics to modern nested data structures

Nested data structures are a boon to modeling, storage, and query performance, but pose challenges to traditional BI tools. Here’s how to overcome them

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The wonders of AI—or the shortcomings of search?

Thus far, the case for AI seems to mainly center on how it is taking search to the next level

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How to choose the right NoSQL database

NoSQL databases vary in architecture and function, so you need to pick the type that is best for the desired task

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Big data analytics: The cloud-fueled shift now under way

Public clouds are the future of enterprise big data analytics, and their use is creating the unified platform needed to fully gain its value

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R tutorial: How to reshape data in R

This book excerpt from “R for Everyone” details the methods in the R programming language to prepare your data for analysis

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Adding speed and scalability to existing applications with in-memory data grids

Powering data-intensive and time-sensitive applications with in-memory data grids (IMDGs)

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Machine learning: What developers and business analysts need to know

There is more to a successful application of machine learning than data science

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Translytical has become synonymous with real-time

Determine if your organization is combining the three principles of translytics to overcome the speed and scale challenges of today’s data-driven enterprise

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PyTorch tutorial: Get started with deep learning in Python

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library

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Introduction to Learning to Rank (LTR) search analysis

The technique can fix search results based on user preferences or implicit behavior

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Data literacy: What it means and why it’s essential for your business

Putting data in the hands of a few experts is a powerful thing, but making it available throughout an organization can be a game-changer

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Insights-as-a-service: Giving companies a fast lane to data-driven action

If today data is king, then IaaS is fast emerging as the contractual chief adviser, helping to inform business decisions based on data-driven points of knowledge, predictions analytics, and insights

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What if the LOB followed the right analytics strategy?

Part of that strategy means the business users will need to be tempered by people who understand the analytics tools and processes, and who know how to optimize their use

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Visual Studio Code joins the Anaconda Python data science toolkit

Microsoft’s Anaconda support is the next step in its open source analytics expansion

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