As part of my series on the keys to and likelihood of success, I outlined some examples from the DBMS industry. The list turned out too long for a single post, so I split it up by millennia. The part on 20th Century DBMS success and failure went up Friday; in this one I’ll cover more recent events, organized in line with the original overview post. Categories addressed will include analytic RDBMS (including data (more...)
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 […]
I caught up with my clients at MongoDB to discuss the recent MongoDB 2.6, along with some new statements of direction. The biggest takeaway is that the MongoDB product, along with the associated MMS (MongoDB Management Service), is growing up. Aspects include:
- An actual automation and management user interface, as opposed to the current management style, which is almost entirely via scripts (except for the monitoring UI).
- That’s scheduled for public beta in May, (more...)
I frequently am asked questions that boil down to:
- When should one use NoSQL?
- When should one use a new SQL product (NewSQL or otherwise)?
- When should one use a traditional RDBMS (most likely Oracle, DB2, or SQL Server)?
The details vary with context — e.g. sometimes MySQL is a traditional RDBMS and sometimes it is a new kid — but the general class of questions keeps coming. And that’s just for short-request use (more...)
Why noSQL ?
From past few years (after 2009) we are seeing high trend towards noSQL databases. Many big enterprises are exploring option for moving services to noSQL databases and many already did.
Its not that existing Oracle databases cannot support the system. We have many rich features and products from Oracle which can be made to work together to support huge internet applications. But there are many vantage points to consider when we are designing (more...)
There continues to be a disproportionate amount of hype around 'NoSQL' data stores. By disproportionate I mean 'completely and utterly out of scale with the actual problems of the vast majority of companies'. I wrote before about 'how NoSQL became more SQL'. The point I made there is now more apparent the more I work with companies on Big Data challenges.
There are three worlds of data
So I wrote about why your Hadoop project will fail so I think its only right that I should follow up with some things that you can do to actually make the Big Data project you take on succeed. The first thing you need to do is stop trying to make 'Big Data' succeed and instead start focusing on how you educate the business on the value of information and then work out how to deliver new (more...)
On the twelfth day of Christmas, my true love gave to me Twelve drummers drumming. The relational camp put productivity, ease-of-use, and logical elegance front and center. However, the mistakes and misconceptions of the relational camp prevent mainstream database management systems from achieving the performance level required by modern applications. For example, Dr. Codd forbade […]
On the eleventh day of Christmas, my true love gave to me Eleven pipers piping. Over a lifespan of four and a half decades, the relational camp made a series of strategic mistakes that made NoSQL and Big Data possible. The mistakes started very early. The biggest mistake is enshrined in the first sentence of […]
On the tenth day of Christmas, my true love gave to me Ten lords a-leaping. The topic of Big Data is often encountered when talking about NoSQL so let’s give it a nod. In 1998, Sergey Brin and Larry Page invented an algorithm for ranking web pages (The Anatomy of a Large-Scale Hypertextual Web Search […]
Relational DBMS used to be fairly straightforward product suites, which boiled down to:
- A big SQL interpreter.
- A bunch of administrative and operational tools.
- Some very optional add-ons, often including an application development tool.
Now, however, most RDBMS are sold as part of something bigger.
Developers are often asking me how to "version" documents with Couchbase 2.0. The short answer is: the clients and server do not expose such feature, but it is quite easy to implement.
In this article I will use a basic approach, and you will be able to extend (more...)
TL;DR: Look at the project on Github.
During my last interactions with the Couchbase community, I had the question how can I easily import my data from my current database into Couchbase. And my answer was always the same:
Take an ETL such as Talend to do it
Just write a (more...)
Already 6 months! Already 6 months that I have joined Couchbase as Technical Evangelist. This is a good opportunity to take some time to look back.
So first of all what is a Developer/Technical Evangelist?
Hmm it depends of each company/product, but let me tell you what it is for (more...)
I have created this simple screencast to show how you can, using Couchbase do some realtime analysis based on Twitter feed.
The key steps of this demonstration are
Inject Tweets using a simple program available on my Github Couchbase-Twitter-Injector
Create views to index and query the Tweets by
At last week’s Dallas Oracle Users Group meeting
, an Oracle DBA asked me, “With all the new database alternatives out there today, like all these open source NoSQL databases, would you recommend for us to learn some of those?”
I told him I had a theory about how (more...)
It's now more than thirty years since I first came across the Oracle database. At that time, Oracle had only just got a distributor in the UK (a small part of CACI, with just three staff: Geoff Squire, Mike Evans and Chris Ellis - soon to be joined by Ian (more...)
“It’s the analytics stupid!” Obviously the offense is not intended at the dear reader. It’s a wake up call for all the people excited with Hadoop and lack BI vision. The BI people that lack infrastructure vision are also to blame. Blame for what? We’ll see later in this (more...)