Security Big Data – Part 7 – a summary

Over six parts I've gone through a bit of a journey on what Big Data Security is all about. Securing Big Data is about layers Use the power of Big Data to secure Big Data How maths and machine learning helps Why its how you alert that matters Why Information Security is part of Information Governance Classifying Risk and the importance of Meta-Data The fundamental point here is that

Securing Big Data Part 6 – Classifying risk

So now your Information Governance groups consider Information Security to be important you have to then think about how they should be classifying the risk.  Now there are docs out there on some of these which talk about frameworks.  British Columbia's government has one for instance that talks about High, Medium and Low risk, but for me that really misses the point and over simplifies the

Securing Big Data Part 5 – your Big Data Security team

What does your security team look like today? Or the IT equivalent, "the folks that say no".  The point is that in most companies information security isn't actually something that is considered important.  How do I know this?  Well because basically most IT Security teams are the equivalent of the nightclub bouncers, they aren't the people who own the club, they aren't as important as the

Securing Big Data – Part 4 – Not crying Wolf.

In the first three parts of this I talked about how Securing Big Data is about layers, and then about how you need to use the power of Big Data to secure Big Data, then how maths and machine learning helps to identify what is reasonable and was is anomalous. The Target Credit Card hack highlights this problem.  Alerts were made, lights did flash.  The problem was that so many lights flashed and

Securing Big Data – Part 3 – Security through Maths

In the first two parts of this I talked about how Securing Big Data is about layers, and then about how you need to use the power of Big Data to secure Big Data.  The next part is "what do you do with all that data?".   This is where Machine Learning and Mathematics comes in, in other words its about how you use Big Data analytics to secure Big Data. What you want (more...)

Securing Big Data – Part 2 – understanding the data required to secure it

In the first part of Securing Big Data I talked about the two different types of security.  The traditional IT and ACL security that needs to be done to match traditional solutions with an RDBMS but that is pretty much where those systems stop in terms of security which means they don't address the real threats out there, which are to do with cyber attacks and social engineering.  An ACL is only

Securing Big Data – Part 1

As Big Data and its technologies such as Hadoop head deeper into the enterprise so questions around compliance and security rear their heads. The first interesting point in this is that it shows the approach to security that many of the Silicon Valley companies that use Hadoop at scale have taken, namely pretty little really.  It isn't that protecting information has been seen as a massively

What makes MapR superior to other Hadoop distributions?

These days Hortonworks with their IPO and Cloudera sitting on $1bn of cash grab all the headlines. However,the real visionary in the field is someone else. Someone blasting the previous world record in TeraSort . A Hadoop distribution on both Amazon Web Services and the Google Compute Engine. A company that Google is invested in. While their competitors have been in skirmishes with each other, MapR has been quietly working away and innovating.

MapR-FS: Features and (more...)

Big Data… Is Hadoop the good way to start?

In the past 2 years, I have met many developers, architects that are working on “big data” projects. This sounds amazing, but quite often the truth is not that amazing. TL;TR You believe that you have a big data project? Do not start with the installation of an Hadoop Cluster -- the "how" Start to talk to business people to understand their problem -- the "why" Understand the data you must

Another Great OpenWorld

Steve at the Delphix Booth

Last week I attended Oracle OpenWorld 2014, and it was an outstanding event filled with great people, awesome sessions, and a few outstanding notable experiences.

Personally I thought the messaging behind the conference itself wasn’t as amazing and upbeat as OpenWorld 2013, but that’s almost to be expected. Last year there was a ton of buzz around the introduction of Oracle 12c, Big Data was a buzzword that people were totally excited (more...)

Big Data 2.0 and Agile BI all at Irish BI OUG (24 September).

I will give a presentation on 24 September at the Jury’s Inn in Dublin on the next generation of Big Data 2.0 tools and architecture.

Over the last two years there have been significant changes and improvements in the various Big Data frameworks. With the release of Yarn (Hadoop 2.0) the most popular of these platforms now allows you to run mixed workloads. Gone are the days when Hadoop was only good for (more...)

Oracle Data Integrator and Hadoop. Is ODI the only ETL tool for Big Data that works?

Both ODI and the Hadoop ecosystem share a common design philosophy. Bring the processing to the data rather than the other way around. Sounds logical, doesn’t it? Why move Terabytes of data around your network if you can process it all in the one place. Why invest millions in additional servers and hardware just to transform and process your data?

In the ODI world this approach is known as ELT. ELT is a marketing concept (more...)

Permissions for both HDFS and local fileSystem paths

| Jul 18, 2014

Hi All,

Permission issues is one of the key error , while setting up Hadoop Cluster, while debugging some error found below table on . It’s a good scorecard to keep handy.


Permissions for both HDFS and local fileSystem paths

The following table lists various paths on HDFS and local filesystems (on all nodes) and recommended permissions:

Filesystem Path User:Group Permissions
local hdfs:hadoop drwx——
local (more...)

Big Data doom mongers need to look outside of the marketing department

In every change there are hype machines that over play and sages who call doom.  Into the Big Data arena steps David Searls to proclaim that Big Data is a myth and simply hype which is set to burst in an article over at ZDNet. But big data, he said, is nothing more than the myth that collecting vast amounts of data can help companies know customers better than those customers even know

Editor’s Choice award at ODTUG Kscope14: NoSQL and Big Data for the Oracle Professional

My paper on NoSQL and Big Data won the Editor’s Choice award at ODTUG Kscope14. Here are some key points from the paper: The relational camp made serious mistakes that limited the performance and usefulness of the relational model. NoSQL is based on the incorrect premise that tables in the relational model must be mapped to […]

MDM isn’t about data quality its about collaboration

I'm going to state a sacrilegious position for a moment: the quality of data isn't a primary goal in Master Data Management Now before the perfectly correct 'Garbage In, Garbage Out' statement let me explain.  Data Quality is certainly something that MDM can help with but its not actually the primary aim of MDM. MDM is about enabling collaboration, collaboration is about the cross-reference

Lipstick on the iceberg – why the local view matters for IT evolution

There is a massive amount of IT hype that is focused on what people see, its about the agile delivery of interfaces, about reporting, visualisation and interactional models.  If you could weight hype then it is quite clear that 95% of all IT is about this area.  Its why we need development teams working hand-in-hand with the business, its why animations and visualisation are massively important.

How to select a Hadoop distro – stop thinking about Hadoop

Scoop, Flume, PIG, Zookeeper.  Do these mean anything to you?  If they do then the odds are you are looking at Hadoop.  The thing is that while that was cool a few years ago it really is time to face it that HDFS is a commodity, Map Reduce is interesting but not feasible for most users and the real question is how we turn all that raw data in HDFS into something we can actually (more...)

Need for Defining Reference Architecture For Big Data

Hi Fellow Big Data Admirers ,

With big data and analytics playing an influential role helping organizations achieve a competitive advantage, IT managers are advised not to deploy big data in silos but instead to take a holistic approach toward it and define a base reference architecture even before contemplating positioning the necessary tools. 

My latest print media article (5th in the series) for CIO magazine (ITNEXT) talks extensively about need of reference architecture in (more...)

Data Lakes will replace EDWs – a prediction

Over the last few years there has been a trend of increased spending on BI, and that trend isn't going away.  The analyst predictions however have, understandably, been based on the mentality that the choice was between a traditional EDW/DW model or Hadoop.  With the new 'Business Data Lake' type of hybrid approach its pretty clear that the shift is underway for all vendors to have a hybrid