Wednesday May 25, 2016

DIY Hadoop: Proceed At Your Own Risk

Could your security and performance be in jeopardy?

Nearly half (3.2 billion, or 45%) of the seven billion people in the world used the Internet in 2015, according to a BBC news report. If you think all those people generate a huge amount of data (in the form of website visits, clicks, likes, tweets, photos, online transactions, and blog posts), wait for the data explosion that will happen when the Internet of Things (IoT) meets the Internet of People. Gartner, Inc. forecast that there will be twice as many--6.4 billion--Internet-connected gadgets (everything from light bulbs to baby diapers to connected cars) in use worldwide in 2016, up 30 percent from 2015, and will reach over 20 billion by 2020.

Companies of all sizes and in virtually every industry are struggling to manage the exploding amounts of data. To cope with the problem, many organizations are turning to solutions based on Apache Hadoop, the popular open-source software framework for storing and processing massive datasets. But purchasing, deploying, configuring, and fine-tuning a do-it-yourself (DIY) Hadoop cluster to work with your existing infrastructure can be much more challenging than many organizations expect, even if your company has the specialized skills needed to tackle the job.  

[Read More]

Tuesday Mar 29, 2016

The surprising economics of engineered systems

Better, faster, cheaper, pick any two. So goes the saying. But what if you could pick all three?[Read More]

Thursday Mar 17, 2016

Delegation and (Data) Management

Big Data SQL accelerates cross-platform queries by delegating.[Read More]

Accelerating SQL Queries that Span Hadoop and Oracle Database

Big Data SQL 3.0 further improves the "fast" part of "one fast, secure SQL query on all your data"[Read More]

Oracle Big Data SQL 3.0 adds support for Hortonworks Data Platform and commodity clusters

Two big changes for Oracle Big Data SQL 3.0. We've added support for non-engineered systems, which means that any Cloudera or Hortonworks clusters can be linked with Oracle Database 12c running on any hardware. And we've improved performance (next post).[Read More]

Thursday Jan 21, 2016

Experimental data labs take off 2016

Expect a proliferation of data lab experiments to take off beyond the realm of the data scientists and into data factories of real-time production as firms try to identify hotspots for algorithmic advantage faster than the competition.[Read More]

Thursday Jan 14, 2016

Big Data For All? Oracle's 2016 Top 10 Predictions

The push to make big data more mainstream will get stronger in 2016. #1 of the Top 10 Predictions is Data civilians operate more like data scientists.


[Read More]

Monday Jan 11, 2016

DIY for IT is not like going to the hardware store

Painting a room? Your local hardware store can help. Building an enterprise class Hadoop cluster? Oracle can do that for you quicker and cheaper than you can. [Read More]

Data Swamps Try Provenance to Clear Things Up

Data lineage used to be a nice-to-have capability because so much of the data feeding corporate dashboards came from trusted data warehouses. But in the big data era data lineage is a must-have because customers are mashing up company data with third-party data sets. Some of these new combinations incorporate high-quality, vendor-verified data. But others will use data that’s not officially perfect, but good for prototyping. When surprisingly valuable findings come from these opportunistic explorations, managers will look to the lineage to know how much work is required to raise it to production-quality levels.[Read More]

Friday Jan 08, 2016

BIWA Summit'16 - Big Data + Analytics User Conference Jan 26-28, @ Oracle HQ Conference Center

BIWA Summit 2016 – Big Data + Analytics 3-Day User Conference at Oracle HQ Conference Center has a great lineup! [Read More]

Monday Jan 04, 2016

On Graph Databases and Cats

Elephants for Hadoop; cats for graph databases and analytics?[Read More]

Tuesday Oct 20, 2015

Big Made Great – Big Data from the Biggest Data Company…Oracle

This year’s big data discussions at Oracle OpenWorld will center on how the biggest data company is able to make big data effective in the enterprise. Perspectives from Oracle product executive and customers will shed light on big data strategies and best practices for approaching your enterprise infrastructure, data management, security and governance and analytics. Don't miss these key big data sessions at Oracle OpenWorld![Read More]

Thursday Sep 24, 2015

Biggest Data Company @Strata+Hadoop NY

Strata+Hadoop World September 29–October 1 at the Javits Center in New York is fast approaching and you will not want to miss learning about Big Data Cloud Services from the Biggest Data Company!

[Read More]

Tuesday Sep 22, 2015

Big Data SQL Cloud Service. What's Different?

Like Oracle's entire cloud platform, Oracle Big Data SQL Cloud Service is the same as the on-premises equivalent.[Read More]

Monday Sep 21, 2015

Rocana partners with Oracle, supports Oracle Big Data Appliance

Guest post from Rocana about their partnership with Oracle[Read More]
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The place to get informed about big data ideas, trends, and news and how it impacts your success. Authors represent Oracle big data management, integration, analytics, and applications. https://www.oracle.com/big-data/index.html

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