Tag: 2

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Automagically Moving Legacy Hadoop To The Cloud

The Opposite Of Snowflake: Analytics Without The Data Warehouse

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The Endless Pursuit Of Scale At LinkedIn

Getting Hadoop to Jump Through AI/ML Hoops

Cloudera Pivots To Data Management As Hadoop Fades

Why the Fortune 500 is (Just) Finally Dumping Hadoop

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Hadoop Pioneer MapR Faces An Uncertain Future

Big Data In Little Spaces: Hadoop And Spark At The Edge

Breaking Out of the Hadoop Cocoon

Hadoop Needs To Be A Business, Not Just A Platform

Pulling Storage Together at Extreme Scale

Successful Machine Learning With A Global Data Fabric

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Pushing Greater Stream Processing Platform Evolution

MapR Gives Single View Of Big Data

Easing The Pain Of Prepping Data For AI

IBM Brings Analytics To The Data For Faster Processing

Hadoop Platform Raised to Knights Landing Height

Looking Down The Long Enterprise Road With Hadoop

How Yahoo’s Internal Hadoop Cluster Does Double-Duty on Deep Learning

A New Twist On Adding Data Persistence To Containers

What’s Fueling the Move to a Converged Data Platform?

Driving Compute And Storage Scale Independently

Trulia Shows Homegrown Hadoop Monitoring The Door

Hadoop, Spark, Deep Learning Mesh on Single GPU Cluster

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Apache Arrow Targets High Performance for Big Data Systems

Pushing Hadoop and HPC into the Same Box

Hype Over, Hadoop Gets Down to Business

A Decade of Hadoop: Creator Cutting on the Right Place for the Right Time

Kafka Streaming Pulled Into Converged MapR Platform

Spark Makes Hadoop Mainstream, Cloudera Jumps In

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The Yahoo Behind Fresh Deep Learning Approaches at Flickr

Making Spark and Hadoop Run SQL Better And Faster

Opening the Door for Wider Hadoop Storage Strategies

Just How Deep is the HPC, Hadoop Chasm?

Bridging the Large-Scale Data Analysis Language Divide

Will Apache Hama Have Its Day in HPC?

Bringing HPC and Hadoop Under the Same Cluster Umbrella

Building A Better . . . Hadoop Cluster

Scale And Database Pioneer Talks Hadoop Evolution

Co-Creator of Hive Brings Facebook Lessons to Analytics Platform

Move Over Hadoop, IBM Has a New Spark

We Need Only Three Hadoops, And Maybe Three Systems

Synchronizing Data In Hadoop Lakes

An Inside View of Mainstream Enterprise Hadoop Adoption

Hortonworks Keeps Time With Hadoop’s Cloud March

HPC Clusters Lead a Double Life with Hadoop

Big Insurance Learns Slow, Steady Lessons from Hadoop