Analytics

Analytics news, information, and how-to advice

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Are you caught up with the real-time (r)evolution?

Real-time analytics have been around since well before computers. Here's where the evolution of real time is headed in 2018

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Are you treating your data as an asset?

The best thing you can do is encourage a culture that is data-focused, one that realizes the importance of security and privacy, as well as understanding that data is crucial to your organization’s success

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Modern IT and data science in an era of analytic deployment

How data scientists and IT build and deploy their analytics models

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Azure Databricks: Fast analytics in the cloud with Apache Spark

Microsoft’s partnership with Databricks adds new analytics tools to Azure’s data platform

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Use the cloud to create open, connected data lakes for AI, not data swamps

There needs to be a material change in the way people think of solving complex data problems

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Spark tutorial: Get started with Apache Spark

A step by step guide to loading a dataset, applying a schema, writing simple queries, and querying real-time data with Structured Streaming

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Why ICA is the real ECM

ICA will provide the enterprise with a rich field of information that can be used to generate predictions which in the past we never considered possible

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Microsoft brings Apache Spark, Cassandra, MariaDB to its Azure cloud

Beta tools extend Azure to popular analytics and NoSQL platforms, as well as add devops pipeline support in Git

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What’s new in TensorFlow machine learning

Google's TensorFlow 1.4 machine learning library adds the contributed Dataset API for working with data sources, but watch out for breakage caused by the update

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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

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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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