TensorFlow: Google Open Sources Their Machine Learning Tool

by Abel Avram on  Nov 09, 2015

TensorFlow is a machine learning library created by the Brain Team researchers at Google and now open sourced under the Apache License 2.0. TensorFlow is detailed in the whitepaper TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. The source code can be found on Google Git.

Teradata Announces New Software for Real-Time Analysis of Internet of Things Data

by Kevin Farnham on  Nov 06, 2015 1

At its 2015 Partners User Group Conference, Teradata announced two new software capabilities for real-time ingestion and analysis of massive streams of IoT data. While the Teradata Listener software enables "listening" to multiple, diverse IoT data streams in real time, the new Teradata Aster Analytics on Hadoop software provides scalable analysis of massive IoT data streams.

DistributedLog at Twitter for High Performance Logging

by Alex Giamas on  Oct 20, 2015

Twitter is using replicated logs for high performance data collection and analysis of its systems. DistributedLog is the system developed at Twitter for this purpose. Twitter has developed a distributed key-value database, Manhattan. Manhattan can trade consistency for latency in reads following the eventually consistent data model. We examine Twitter's design and tradeoffs for DistributedLog.

Amazon Announces QuickSight - Business Intelligence for Big Data on AWS

by Matt Kapilevich on  Oct 09, 2015

Amazon has announced QuickSight at AWS Re:invent conference. QuickSight a complete Business Intelligence solution to help customers gain insights from the data they have stored in AWS.

Salesforce Enters IoT Market

by Kent Weare on  Oct 01, 2015

At Salesforce’s recent Dreamforce conference, the company announced an upcoming IoT platform that will allow for the ingestion of real time data and turn it into actionable tasks across its suite of cloud based services.

Hortonworks Addresses the IoAT with DataFlow Based on NiFi

by Abel Avram on  Sep 25, 2015

Hortonworks has quietly made available the DataFlow platform which is based on Apache NiFi and attempts to solve the processing needs of the IoAT.

SpringXD being Re-architected and Re-branded to Spring Cloud Data Flow

by Charles Humble on  Sep 25, 2015

Pivotal announced a complete re-design of Spring XD, its big data offering, during last week’s SpringOne2GX conference, with a corresponding re-brand from Spring XD to Spring Cloud Data Flow. The new product is focussed on orchestration.

Splunk for DBAs

by Jonathan Allen on  Sep 24, 2015

The DBA’s primary job is to ensure that the business’s information is always available, with performance coming in at close second. We’ve already talked about optimizing distributed queries in Splunk and map-reduce queries in Hunk. In this report we expand upon that with more information that a DBA needs to know about Splunk databases.

Optimizing Distributed Queries in Splunk

by Jonathan Allen on  Sep 23, 2015

Optimizing queries in Splunk’s Search Processing Language is similar to optimizing queries in SQL. The two core tenants are the same: Change the physics and reduce the amount of work done. Added to that are two precepts that apply to any distributed query.

Big Data Architecture: Push, Pull, or Search in Place?

by Jonathan Allen on  Sep 23, 2015

A surprisingly common theme at the Splunk Conference is the architectural question, “Should I push, pull, or search in place?”

Architecture, Tuning, and Troubleshooting a Splunk Indexer Cluster

by Jonathan Allen on  Sep 23, 2015

If you could handle all of the data you need to work with on one machine, then there is no reason to use big data techniques. So clustering is pretty much assumed for any installation larger than a basic proof of concept. In Splunk Enterprise, the most common type of cluster you’ll be dealing with is the Indexer Cluster.

Hunk/Hadoop: Performance Best Practices

by Jonathan Allen on  Sep 23, 2015

When working with Hadoop, with or without Hunk, there are a number of ways you can accidentally kill performance. While some of the fixes require more hardware, sometimes the problems can be solved simply by changing the way you name your files.

Introducing Splunk IT Service Intelligence

by Jonathan Allen on  Sep 22, 2015

Splunk is jumping into the service-monitoring sector with a new visualization called IT Service Intelligence.

Using Hunk+Hadoop as a Backend for Splunk

by Jonathan Allen on  Sep 22, 2015

Splunk can now store archived indexes on Hadoop. At the cost of performance, this offers a 75% reduction in storage costs without losing the ability to search the data. And with the new adapters, Hadoop tools such as Hive and Pig can process the Splunk-formatted data.

Splunk .conf 2015 Keynote

by Jonathan Allen on  Sep 22, 2015

Splunk opened their big data conference with an emphasis on “making machine data accessible, usable, and valuable to everyone”. This is a shift from their original focus: indexing arbitrary big data sources. Reasonably happy with their ability to process data, they want to ensure that developers, IT staff, and normal people have a way to actually use all of the data their company is collecting.

General Feedback
Marketing and all content copyright © 2006-2016 C4Media Inc. hosted at Contegix, the best ISP we've ever worked with.
Privacy policy

We notice you're using an ad blocker

We understand why you use ad blockers. However to keep InfoQ free we need your support. InfoQ will not provide your data to third parties without individual opt-in consent. We only work with advertisers relevant to our readers. Please consider whitelisting us.