Analytics
Analytics news, information, and how-to advice
Moving your data analytics to the cloud isn’t so easy
If you dream of modernizing data warehouses—and data marts—in the new platform of the cloud, watch out: It’s not as easy as you might think
21 hot programming trends—and 21 going cold
Hot or not? From the web to the motherboard to the training ground, get the scoop on what’s in and what’s out in app dev
Deep Dive
Machine learning megaguide: Amazon, Microsoft, Databricks, Google, HPE, IBM
Download InfoWorld's massive roundup of Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits
Demystifying machine learning
Businesses need more than a machine learning engine or framework to successfully extract the valuable and actionable insights from their data—and not all machine learning solutions are created equal
Why data democratization is crucial to your business
Data democratization will catapult companies to new heights of performance—if done right
Google Cloud tutorial: Get started with Google Cloud
From virtual machines and Kubernetes clusters to serverless functions and machine learning APIs — how to navigate Google’s cloud riches
Your analytics team needs a liberal arts major
Whether you are a company director, an educator or a parent, you need to think about how to create a diverse workforce in the short and long term
Deep Dive
Quick guide: Learn to crunch big data with R
Get started using the open source R programming language to do statistical computing and graphics on large data sets
Data governance 2.0
Part 1 of a conversation with Jason Fishbain, chief data officer, University of Wisconsin at Madison
3 tips for a successful data strategy
Most modern businesses will survive only if they use data to acquire and retain customers, and if they use data to automate their supply chain or protect their valuable assets
Stateful stream processing with Apache Flink
Apache Flink is made for applications that continuously apply the same business logic to a series of inputs. That’s most business applications
Real-time data pipelines: pairing message queues and databases
Data leaders need to stay on top of the technologies of message queues and databases
Deep Dive
Build an IoT analytics solution with big data tools
The Internet of things seems futuristic, but real systems are delivering real analytics value today. Here’s some real-world IoT advice from the field
How to choose the right data-integration tools
For data integration, pipelining, and wrangling data: Here are the seven types of tools you should build your data tool set from
Making intelligent data hubs a reality
Beyond buzzwords and analyst-speak, putting data into practice
video
7 keys to a successful business intelligence strategy
BI success requires more than just a strong technology platform. It takes laser focus on processes and personnel — and a business-first approach to gaining insights from data.
Navigating time in knowledge graphs
The temporal benefits of cognitive knowledge graphs can affect almost any business problem, including basic issues of data management such as data quality, data cleansing, and integration
Deep Dive
Download the Hadoop Deep Dive
Businesses are using Hadoop across low-cost hardware clusters to find meaningful patterns in unstructured data. In this in-depth PDF, InfoWorld explains how Hadoop works and how you can reap its benefits
Introducing Pandas DataFrame for Python data analysis
The open source library gives Python the ability to work with spreadsheet-like data for fast data loading, manipulating, aligning, and merging, among other functions
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
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
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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