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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.

Google's Cloud Dataflow Enters General Availability

by Kent Weare on  Sep 17, 2015

On August 12, Google announced that its big data processing service has reached general availability. This managed service allows customers to build pipelines that manipulate data prior to being processed by big data solutions. Cloud Dataflow supports both streaming and batch programming in a unified model.

Data Workflow Management Using Airbnb's Airflow

by Alex Giamas on  Sep 08, 2015

Airbnb recently opensourced Airflow, its own data workflow management framework. Airflow is being used internally at Airbnb to build, monitor and adjust data pipelines. Airflow’s creator, Maxime Beauchemin and Agari’s Data Architect and one of the framework’s early adopters Siddharth Anand discuss about Airflow, where it can be of use and future plans.

Microsoft Releases Azure Data Factory

by Richard Seroter on  Aug 25, 2015 1

Any cloud provider that believes in data gravity is trying to make it easier to collect and store data in its facilities. To make data movement between cloud and on-premises endpoints easier, Microsoft recently announced the general availability of Azure Data Factory (ADF).

QCon SF 2015 Update: Workshops at a glance (Nov 19-20)

by Wesley Reisz on  Aug 13, 2015

At QCon San Francisco, we offer two days of workshops (Nov 19-20). Workshops focus on developing the technical skills that leverage technologies you heard about from our expert practitioners during the conference sessions. Here is a glimpse at some of the experts you can learn from QCon SF ‘15 workshops.

Data Quality at Prezi

by João Miranda on  Jul 18, 2015

For an organization to be data-driven, it's not enough to just dump mountains of data. That data needs to be accurate and meaningful. Julianna Göbölös-Szabó, data engineer at Prezi shared how they improved the quality of its log data. Their solution involved moving from unstructured to structured data with a lightweight, contract-based approach to nudge all teams in the right direction.

Basho Data Platform Supports In-Memory Analytics, Caching, Search and Integration with NoSQL

by Srini Penchikala on  Jul 05, 2015

Basho Data Platform supports integration with NoSQL databases like Redis, in-memory analytics, caching, and search. Basho Technologies, the company behind Riak NoSQL database, announced in May, the availability of the data platform that can be used to deploy and manage Big Data, IoT and hybrid cloud applications.

Leveraging Data Science to Improve Monitoring

by João Miranda on  Jun 30, 2015

At the recent devopsdays Amsterdam 2015, Patrick Roelke contended that monitoring still has lots of issues. Roelke believes that data science can help by eliminating static thresholds and coalescing information from various data sources into a single metric. The talk included a quick overview of monitoring tools that leverage data science: Kale, Bosun and AnomalyDetection.

Software Defined Data Mart In The Enterprise Using Metanautix Quest

by Alex Giamas on  Jun 29, 2015

Metanautix recently announced the newest version of its product, Quest. Quest allows enterprises to build software defined data marts that can run in virtualized servers. Designed from the ground up with security and auditability in mind, Quest can deal with Big Data workloads and encapsulate it into different logical views, ready for consumption by different departments in enterprise.

Developments in IT Project Management

by Ben Linders on  Jun 25, 2015 2

The demand for IT project managers is increasing. Agile methodologies support collaboration with distributed teams for creative problem solving. The Internet of Things, cloud, big data, and cyber security will continue to dominate the IT landscape. Project managers have to pioneer IOT initiatives, be prepared for the influx of data and ensure that deliverables from their projects are secure.

Twitter Has Replaced Storm with Heron

by Abel Avram on  Jun 12, 2015

Twitter has replaced Storm with Heron which provides up to 14 times more throughput and up to 10 times less latency on a word count topology, and helped them reduce the needed hardware to a third.

Parquet Becomes Top-Level Apache Project

by Jérôme Serrano on  Jun 11, 2015

Apache Parquet, the open-source columnar storage format for Hadoop, recently graduated from the Apache Software Foundation Incubator and became a top-level project. Initially created by Cloudera and Twitter in 2012 to speed up analytical processing, Parquet is now openly available for Apache Spark, Apache Hive, Apache Pig, Impala, native MapReduce, and other key components of the Hadoop ecosystem.

Capgemini Apollo: An Open Source Microservice and Big Data Platform

by Daniel Bryant on  Jun 06, 2015 1

Capgemini are currently working on Apollo, an open source application platform built on top of the Apache Mesos cluster manager and Docker, which is designed to power next generation web services, microservices and big data platforms running at scale.

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