Cloudera certifies InfoCaptor for Big Data analytics on Hadoop

Cloudera welcomes InfoCaptor as a certified partner for data analytics and visualization. InfoCaptor delivers self-service BI and analytics to data analysts and business users in enterprise organizations, enabling more users to mine and search for data that uncovers valuable business insights and maximizes value from an enterprise data hub

Rudrasoft, the software company that specializes in data analytics dashboard solutions, announced today that it has released an updated version of its popular InfoCaptor software, which (more...)

Query existing HBase tables with SQL using Apache Phoenix

Spending a bit more time with Apache Phoenix in my previous post I realised that you can use it to query existing HBase tables. That is NOT tables created using Apache Phoenix, but HBase - the columnar NoSQL database in Hadoop.

I think this is cool as it gives you the ability to use SQL on an HBase table.

To test this, let's say you login to HBase and you create an HBase table like (more...)

Apache Phoenix, SQL is getting closer to Big Data



Here is a post about another project in the Big Data world, like Apache Hive from my previous post, enables you to do SQL on Big Data. It is called Apache Phoenix.

Phoenix is a bit different, a bit closer to my heart too, as I read the documentation on Apache Phoenix, the word 'algebra' and 'relational algebra' came across few times, and that mean only one thing, SQL! The use of (more...)

Hive (HiveQL) SQL for Hadoop Big Data



In this  post I will share my experience with an Apache Hadoop component called Hive which enables you to do SQL on an Apache Hadoop Big Data cluster.

Being a great fun of SQL and relational databases, this was my opportunity to set up a mechanism where I could transfer some (a lot)  data from a relational database into Hadoop and query it with SQL. Not a very difficult thing to do these days, actually (more...)

Meet Sonra at CeBIT 2015

We will be presenting the Sonra Hadoop Quick Start Appliance at CeBIT next week in Hanover. Meet and greet us in Hall 2, Stand D52 (C58).

At Sonra we understand the difficulties faced by businesses when they begin their Big Data journey. We help you get started in days or weeks and immediately reap the benefits of Big Data. Sonra have packaged optimised Hadoop Supermicro hardware with MapR, the prime Hadoop distribution, and added our (more...)

Thumbs up for Hadoop User Group Ireland Meetup!

HUG_Ireland_logo_smallWe got excellent feedback for our first Hadoop User Group Ireland meetup. We wined, dined, and entertained more than 100 Hadoopers (and there was even beer left at the end of the night).

If you want to find out more about Sonra’s Hadoop Data Warehouse Quick Starter Solutions you can contact me or connect with me on LinkedIn.

For those of you who missed the event I have posted some pictures below. We have recorded (more...)

Hadoop User Group Ireland Meetup

HUG_Ireland_logoJoin MapR and Sonra for the Hadoop User Group Ireland Meetup on 23 February at 6 pm at the Wayra offices (O2/Three building). You’ll learn more about the MapR distribution for Apache Hadoop through use cases, case studies and an introduction to the benefits of using the MapR platform.

Come by for this content-packed first event ending with the opportunity to socialise over beer and pizza kindly provided by Sonra.

 

Agenda:

What is (more...)

Patching the Big Data Appliance

I have been patching engineered systems since the launch of the Exadata V2 and recently i had the opportunity to patch the BDA we have in house. As far as comparisons go, this is were the similarities stop between Exadata and a Big Data Appliance (BDA) patching.
Our BDA is a so called startes rack consisting of 6 nodes running a hadoop cluster, for more information about this read my First Impressions blog post. On (more...)

Big Data and the importance of Meta-Data

Data isn't really respected in businesses, you can see that because unlike other corporate assets there is rarely a decent corporate catalog that shows what exists and who has it.  In the vast majority of companies there is more effort and automation put into tracking laptops than there is into cataloging and curating information. Historically we've sort of been able to get away with this

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...)