Analytics

Analytics news, information, and how-to advice

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Real-time machine learning with TensorFlow, Kafka, and MemSQL

How to build a simple machine learning pipeline that allows you to stream and classify simultaneously, while also supporting SQL queries

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KPIs for managing and optimizing devsecops success

CISOs need to make devsecops a priority. These KPIs can help align both security and nonsecurity stakeholders as to where, why, and how security fits into the process

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A speedy recovery: the key to good outcomes as health care’s dependence on data deepens

Data is transforming health care, but it is also making life-saving treatments far more vulnerable to IT system failures

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What is Apache Spark? The big data analytics platform explained

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning

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Farewell, Frodo: Why we need trustworthy metadata to define our infrastructure

Applying metadata allows you to set policy for areas like security and performance based on precise workload characteristics, even at the scale of the cloud

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Review: H2O.ai automates machine learning

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users

CIO Leadership live with Bernie Gracy of Agero
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CIO Leadership Live with Bernie Gracy, Chief Digital Officer of Agero | Ep 1

In this lively hourlong discussion, Maryfran Johnson, executive director of CIO programs for CIO Events and the CIO Executive Council, talks with Bernie Gracy, Chief Digital Officer of Agero, the largest provider of roadside...

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Dremio: Simpler and faster data analytics

Built on Apache Arrow and Apache Parquet, Dremio brings self-service to data analysts and SQL queries to NoSQL data sources

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Is your data safe and secure?

People need to be able to trust the enterprises and databases holding their data

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GPU computing: the key to unleashing the mysteries of all that data

To effectively handle all the data being created in the world today, we need GPU computing

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The technology of ethics: digitized and dangerous, caution advised

Our analytics are advancing by leaps and bounds, but are ethics keeping up?

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Break down barriers to create a single source of customer intelligence

The executives' challenge is creating a single view of customer engagement

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Apache PredictionIO: Easier machine learning with Spark

An open source project now under Apache’s guidance uses a template system for easy training and deployment of Spark-powered machine learning models

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R tutorial: 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

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Your analytics strategy is obsolete

While analytics is a giant market and filled with confusing marketing speak, there are big trends shaping the industry that will dictate where organizations invest

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Strengths and limits of analytically driven advice

Our data allow us to assess what has happened, predict what will happen next and then advise us as to how to respond

Why cloud platforms should invest in the promise of Python

Python has emerged as the language developers want to use more than any other for building data-intensive projects. Python now powers some of the most complex applications on the cloud

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ETL is dead

ETL is hard. And it's limiting. Unfortunately, there wasn't a better way because of the constraints of data technology. Until now

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