Why finance craves big data: A perfect storm of disruption and opportunity
The financial services domain, where real-time is measured in milliseconds, holds particular interest for big data applications and vendors for a number of reasons: architecture, regulation, transparency, decision-making, and the need for speed.
Read More →Out of the Hadoop box: SQL everywhere and AtScale
AtScale has made a name for itself by providing an access layer on top of Hadoop that enables it to be used directly as a data warehouse. AtScale is now announcing support for Teradata DW and Google Dataproc and BigQuery, offering what it calls a Unified Analytics Platform. Why this move now, how does it work and what does it mean?
Read More →I got 99 data stores and integrating them ain’t fun
Data integration may not sound as deliciously intriguing as AI or machine learning tidbits sprinkled on vanilla apps. Still, it is the bread and butter of many, the enabler of all things cool using data, and a premium use case for concepts underpinning AI.
Read More →What IBM, the Semantic Web Company, and Siemens are doing with semantic technologies
Defining semantics is a matter of semantics, not less so in the Big Data space.
Read More →Cloudera, Hortonworks, and how they are progressing in their Hadoop security agenda
Back in July 2014, Gigaom published a research note on Hadoop security written by me. As there seems to be rapid progress in this domain, in the last few days there have been a couple of related developments that call for an update on the picture drawn in that report. As was noted in the […]
Read More →The best approach to managing Hadoop
This week Linked Data Orchestration published another report on Big Data. The report is titled “The best approach to managing Hadoop” and is brought to you in collaboration with Gigaom and Zettaset. The report examines the 3 choices available for managing Hadoop and discusses the pros and cons for each one. Organizations leveraging on-premises Hadoop […]
Read More →Hadoop World vendor announcements and impact on Accessibility, Scalability and Security
This week the world’s biggest event for all things Hadoop takes place, the Strata and Hadoop World conference. Vendors announce and showcase new releases and features in their offerings, and Gigaom covered the extensive array of news. Let’s try to decipher them and see their impact in terms of Hadoop distributions Accessibility, Scalability and Security. […]
Read More →RDF on Hadoop and Schema on Read vs. Schema on Write
One of the challenges for any Big Data solution is dealing with scale, and RDF stores are no exception: going for billions of RDF triples (the equivalent of rows in the SQL world) is not trivial. Hadoop on the other hand is great at scaling out on commodity hardware, which is a feature every MPP […]
Read More →SPARQL City and Benchmarks
We have written in the past about SPARQL, Hadoop and benchmarks. In this post, we take a look at a company that combines all of these subjects, SPARQL City, on the occasion of the results they released after subjecting their product, SPARQLVerse, to the SP2 benchmark. This year’s NoSQLNow conference was colocated with SemTechBiz, providing […]
Read More →Big Data Security: What does it take and what are the strategies for implementing it?
Recently we referred to Hadoop security, taking a sneak peek at things to come and announcing an upcoming Gigaom report on the topic. Now the time has come and we are happy to announce that the “Hadoop security: Solutions emerge” Gigaom report has been published. But that’s not all, and in this post we give […]
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