Splunk’s user conference has drawn to a close. After three days with over 160 sessions ranging from security and operations to business intelligence to even the Internet of Things, the same central theme kept appearing over and over again: the key to Big Data is machine learning.
A common theme at the Splunk user conference is the idea that the users are the greatest threat. Even in a well-regulated enterprise where no one has more privileges than what’s needed to do their job, a typical user has more than enough ability to steal massive amounts of data or cause widespread problems. Fortscale seeks to address this issue by using the data that you are already collecting.
Most companies still manually track configuration changes using a wiki or spreadsheet. Only the most basic information such as IP addresses are included, as recording everything is just too tedious. Even knowing basic information such as who made the change is difficult and time consuming. Tripwire seeks to eliminate this problem by proactively monitoring configuration changes.
Hunk is a relatively new product from Splunk for exploring and visualizing Hadoop and other NoSQL data stores. New in this release is support for Amazon’s Elastic MapReduce.
At the opening keynote for Splunk .conf2014 we heard about GE Capital’s developer culture, Red Hat’s internal IT focus, and Coca-Cola’s “Data Lake” theory of information management.
MapR recently announced including Apache Drill in its latest release of MapR distribution. Apache Drill is the open source version of Google’s Dremel. Dremel is the infrastructure on which BigQuery is based upon. Drill is offering a low latency SQL-on-Hadoop interface. While this puts it in the same space as several other technologies around Hadoop, Drill has some unique characteristics setting it
Nvidia earlier this month released cuDNN, a set of optimized low-level primitives to boost the processing speed of deep neural networks (DNN) on CUDA compatible GPUs. The company intends to help developers harness the power of graphics processing units for deep learning applications.
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Usage of data generated by drones is going to add a new horizon in data storage and processing. Kirk Borne, professor at George Mason University recently talked about the challenge of processing, storing and transferring this data.
In a blog post suggesting limits to the usefulness and applicability of the Lambda Architecture, Jay Kreps argues that Lambda contains valuable ideas but that ultimately it is a temporary solution due to immature tools rather than the future of big data.
With Raising the game - The IBM Business Tech Trends Study (PDF) IBM has evaluated the current adoption landscape of 4 key technologies in the enterprise: Big Data & Analytics, Cloud, Mobile and Social, comparing today’s adoption with 2012’s and Pacesetters against Dabblers.
Google has unveiled their new data-warehouse called Mesa. Mesa is a system that scales across multiple data centers and processes petabytes of data, while being able to respond to queries in sub-second time and maintain ACID properties.
Cloudera recently released an update over Project Rhino and data at-rest encryption in Apache Hadoop. Project Rhino is an effort of Cloudera, Intel and Hadoop community to bring a comprehensive security framework for data protection. InfoQ recently talked to Steven Ross from Cloudera team to learn more about the project.
Vivint recently announced that it is partnering up with Cloudera to analyze more efficiently data coming from Smart Home sensors. The sensors in a residence vary from thermostats to security oriented devices. Analyzing this data centrally, Vivint can provide actionable insights for customers that can provide energy savings. Heating ventilation and cooling(HVAC) accounts for more than 40 percent of
Cloudbreak, a new open-source and cloud-agnostic Hadoop as a Service API, is now open for beta access to application developers and enterprises. SequenceIQ, Cloudbreak's maker, claims that its freely available product will make it easier to manage and monitor on-demand Hadoop clusters while also abstracting their provisioning.