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Tag: Spark

Meet Ray, the Real-Time Machine-Learning Replacement for Spark

Researchers at UC Berkeley's RISELab have developed a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. Ca Read more…

SAP Vora Gets Analytics, Cloud Upgrades

Building on its acquisition of Hadoop specialist Altiscale Inc., SAP is combining the latest release of its Vora in-memory distributed computing platform with its big data cloud as it extends the Apache Spark framework t Read more…

MapR Extends Its Platform to the Edge

MapR Technologies today unveiled MapR Edge, an extension of its converged data platform that lets customers install MapR nodes practically anywhere they want. The new offering runs on small portable PCs like the Intel Read more…

Hadoop Has Failed Us, Tech Experts Say

The Hadoop dream of unifying data and compute in a distributed manner has all but failed in a smoking heap of cost and complexity, according to technology experts and executives who spoke to Datanami. "I can't find a Read more…

2017 Is the Year of AI. Or Is It?

The media often likes to proclaim "The Year of This" or "The Year of That." With the greater attention given to advancing capabilities in artificial intelligence and machine learning, it seemed like a no-brainer to decla Read more…

Dr. Elephant Steps Up to Cure Hadoop Cluster Pains

Getting jobs to run on Hadoop is one thing, but getting them to run well is something else entirely. With a nod to the pain that parallelism and big data diversity brings, LinkedIn unveiled a new release of Dr. Elephant Read more…

Can Big Data Tame the Chaos of Virtualized IT?

The "software-defined" revolution is driving private data centers toward AWS-like efficiency. However, the virtualization of hardware, storage, and networking—not to mention agile coding techniques and a rapid-fire "De Read more…

Inside IBM ML: Real-Time Analytics On the Mainframe

"Bring the compute to the data," is a common refrain you hear in the big data age. Now IBM is heading that advice with today's launch of IBM Machine Learning for z/OS, a new offering due this quarter that will bring Wats Read more…

A Platform Approach to Data Science Operationalization

Eduardo Ariño de la Rubia has been building quantitative teams for the past two decades, and knows first-hand how hard it can be to bring data science capabilities into a production setting. He understands there are mul Read more…

How Spark Illuminates Deep Learning

Data scientists everywhere are delving more deeply into deep learning (DL). If you’re only skimming the surface of this trend, you might think that the Spark community, which focuses on broader applications of machine Read more…

Big Iron Warms Up to Big Data

Despite predictions of its demise, the mainframe keeps ticking. And thanks to its longevity, customers are finding the need to integrate mainframes with big data systems is growing. Syncsort, which develops big data solu Read more…

DataRobot Delivers an ML Automation Boost for Evariant

Companies in all industries face an acute shortage of data scientists, those digital alchemists who turn raw data into gold. But for the healthcare software company Evariant, the decision to use DataRobot to automate its Read more…

Elastic Stack Searches for Bigger Data Problems

Elastic is best known as the commercial vendor behind Elasticsearch, the open source search engine that's widely used around the world. But with this month's release of Elastic Stack V5, the company is staking a claim wi Read more…

Hortonworks Unveils New Offerings for AWS Marketplace

Hortonworks today took the wraps off new big data services that run on the Amazon Web Services (AWS) Marketplace. The Hadoop, Spark, and Hive services are pre-configured, and are designed to get users up and running quic Read more…

How PRGX Is Making Its AS/400-to-Hadoop Migration Work

Many companies are using big data technologies to build new applications that can take advantage of emerging data streams, like sensor data or social media. It's not often you see established back-office applications bei Read more…

Spark ML Runs 10x Faster on GPUs, Databricks Says

Apache Spark machine learning workloads can run up to 10x faster by moving them to a deep learning paradigm on GPUs, according to Databricks, which today announced that its hosted Spark service on Amazon's new GPU cloud. Read more…

Big Performance Gains Seen Across SQL-on-Hadoop Engines

You can't really go wrong these days when it comes to picking a SQL-on-Hadoop engine. As long as you stick to the mainstream open source products like Hive, Impala, Spark SQL, and Presto, your SQL queries are likely runn Read more…

Databricks CEO on Streaming Analytics, Deep Learning, and SQL

As Apache Spark continues to gain steam, so too does Databricks, the company behind the popular distributed processing framework. At the recent Strata + Hadoop World conference, we caught up with Databricks CEO and co-fo Read more…

Yahoo Shares Algorithm for Identifying ‘NSFW’ Images

Yahoo is releasing the deep learning algorithm that it uses to detect "not safe for work" (NSFW) images to the open source community, the Web giant announced last week. Anywhere from 4% to 30% of the Internet is compo Read more…

SAP Expands Hadoop Reach With Altiscale Deal

SAP completed it acquisition of big data analytics startup Altiscale Inc. this week, saying it would fold Altiscale's data cloud and Hadoop services into its existing SAP HANA cloud and emerging analytics efforts. Rep Read more…

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