Blogs

The digital story of the Nativity

 

Great video showing through the use of social media an original story of Jesus' birth at Christmas.

Besides being fun, it's a good way to make a quick tour of the main features of Facebook, Twitter, YouTube, Google, Wikipedia, Google Maps, GMail, Foursquare or Amazon ...

How times change:)

BI USABILITY: evolution and tendencies

 

Introduction

What is known today by the name Business Intelligence (BI) has an origin and evolution that should be looked at in order to introduce the concept that will be the subject of this article: “BI Usability”.

One of the principal goals of BI is that users find the information they need to make decisions in due time and proper form. The form includes, among other things, the format in which the information is presented and the level of interaction expected to obtain the desired result. The previous points make up the term “BI Usability”.

 

Usability can be defined as software’s ease of use, in which factors such as the familiarity of the design, comfort, attractiveness, level of interaction permitted, response time, etc. also come into play.

Various definitions of usability have been selected to complement the concept: (*1):

A contest to send a DBA to space

 

Redgate has organized a contest for DBA's with a spectacular prize: A space trip!

The winner will be the first DBA to go into space. A very original initiative. If you want to apply, visit the page www.dbainspace.com

If you take part, count with my vote 

 

This is the promotional video of DBA in space: 

 

Good luck!

BI and General Management

 

This article is the first of a total of three that we are going to publish from LITEBI, each one will be part of a Whitepaper focused on the effects and contributions of Business Intelligence to the company from the point of view of the CEO. 

 

What is Business Intelligence?

Wikipedia gives us the following definition on this concept:
“Computer-based techniques used in identifying, extracting, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes”

In other words, software tools that enable that all the information of a company (sales, purchases, financial information, production, marketing, etc.) “flows” in an organized way through the business, reaching the right person, at the right time. To this, in LITEBI we would also note that achieving Intelligence needs full-featured and integrated tools to manage and optimize the performance of the company as a whole and to align it with the business strategy.

A tool with all these characteristics makes things easier for those in charge of the decision making in each department: a CFO, a Sales Manager, a CEO or a Controller.

Interesting resources and links about IBM Cognos

 

Documentación de IBM Cognos BIIn a Linkedin debate members have proposed a list of references and useful links about Cognos BI, as well as forums, blogs and resources. I've organized a bit the proposals. I hope you find it useful..

How to connect to a remote MySQL database

 

 

MySQL has some special features when making a connection from a remote client that if we do not know can complicate access to a MySQL database from a different machine that hosts the database.

With other databases such as Oracle or SQL Server, once that no firewall or anything like that prevents us from the client machine access to the server, using normally data acces from a database user we can 'enter'.

With MySQL, although access to the port, usually 3306, is open, the database can be configured to shut out external connections, and the result is the same as if the port was closed by a firewall:

 

telnet mysql.dataprix.es 3306
Trying 188.166.233.199...
telnet: connect to address 188.166.233.199: Connection refused
telnet: Unable to connect to remote host

 

If you get this result should consult the file /etc/my.cnf, and checking for bind-address variable or skip-networking.

If skip-networking is and is not discussed, edit the file and delete it, or make a comment to have no effect and allow external connections:

 

Aggregate Tables Management with Mondrian

 

Interesting tutorial about Aggregate Table Management with Mondrian (Pentaho)

 

Learning NoSQL

 

The emergence of twitter, facebook, Groupon, amazon, etc ... is becoming increasingly popular new forms of large data storage and fast access to them. The terms NoSQL , Big Data , Hadoop ... are rapidly becoming popular.

Not long ago we talked about it:

 

- Comparison of NoSQL Databases ( Cassandra , MongoDB , CouchDB , Redis , Riak and HBase ) 
- Infographics, the potential for big data . 
- Pentaho also is accelerating much its integration with Big Data.

 

Today we give you some more detailed presentations, where we can research:  

Statistical Data Warehouse - European Central Bank

 

European Central Bank StatisticsI found very interesting the initiative of the European Central Bank, to provide a statistical service on-line in the so-called Statistical Data Warehouse (SDW).

This Data Warehouse is aimed at a broad spectrum of users (financial analysts, journalists, businesses, economists, researchers, etc. ..). Provides macroeconomic data on-line in the euro zone: inflation, exchange rates, labor costs, unemployment, productivity, public deficit, public debt, payments balance, international investment position, sociodemographic data, tax information, etc...

Aspects to evaluate the selection of an ETL tool

 

Addressing a business intelligence project is important to proper assessment of the ETL tool that we will use. The tool based on which we will implement our procurement processes of the Datamart, Datawarehouse or storage structure based on which further exploit the data. It is a cornerstone for the design, construction and subsequent evolution of our BI system. We will analyze technical issues only, without entering into the economic aspects or otherwise (licenses, agreements, technical support, tool changes, etc. ..) . Note that the ETL processes, are closely linked to the processes of data profiling and data quality, here we will not consider.

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