Showing posts with label pentaho. Show all posts
Showing posts with label pentaho. Show all posts

Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQL Review

Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQL
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Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQL ReviewJos and Roland have done a great job explaining the tools and technology of the Pentaho BI Platform in the context of building real world Business Intelligence applications. They have taken some very complicated and technical concepts and presented them in an easy to follow case study. The case study they chose is simple to understand yet filled with the same kinds of real world complexities that make BI applications difficult to deliver.
The "Getting Started with Pentaho" section has all the information and documentation you wish you could find neatly arranged on the Pentaho community site. They do an excellent job explaining the entire Pentaho application stack from collecting data to presenting information. The book could have stopped here, being the Pentaho missing manual, and still have been worth buying.
The next section, "Dimensional Modeling and Data Warehouse Design" is an very good introduction/refresher on hows and whys of building data warehouses, data marts and OLAP cubes. Again they have taken a subject that is broad and complex and presented it in a way that is easy to understand and apply. Where appropriate, they refer the reader to other resources available for more in-depth coverage of specific topics.
A data warehouse is useless until you can reliably get good, complete and accurate data into it. The section on "ETL and Data Integration" is another section that could easily stand on it's own. After an introduction to ETL and Pentaho Data Integration, they show how to populate the database used for the case study including populating time dimensions. Other real world topics touched upon include; change data capture, data validation, data cleansing and issues with generating dimension tables.
The last section covers transforming data into information via metadata, reporting, analysis services, data mining and dashboards. Each topic is covered by an introduction, explanation of the tools available and examples using data from the case study.
I like the way Roland and Jos combine general BI knowledge with tutorials on the Pentaho applications and tie it all together with an interesting case study giving you a chance to stop and play as you follow along. I also enjoyed the many side notes with tidbits of history and pointers to other resources. Overall I found this book both informative and enjoyable.
I'm a fifteen year veteran of building BI software, one of the original Pentaho developers and am currently the Pentaho community guy. I'm not affiliated with Jos, Roland or Wiley and receive no benefit from this book beyond the satisfaction of having Pentaho software be so well represented.
Doug Moran
Pentaho
Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQL OverviewYour all-in-one resource for using Pentaho with MySQL for Business Intelligence and Data Warehousing
Open-source Pentaho provides business intelligence (BI) and data warehousing solutions at a fraction of the cost of proprietary solutions. Now you can take advantage of Pentaho for your business needs with this practical guide written by two major participants in the Pentaho community.
The book covers all components of the Pentaho BI Suite. You'll learn to install, use, and maintain Pentaho-and find plenty of background discussion that will bring you thoroughly up to speed on BI and Pentaho concepts.
Of all available open source BI products, Pentaho offers the most comprehensive toolset and is the fastest growing open source product suite
Explains how to build and load a data warehouse with Pentaho Kettle for data integration/ETL, manually create JFree (pentaho reporting services) reports using direct SQL queries, and create Mondrian (Pentaho analysis services) cubes and attach them to a JPivot cube browser
Review deploying reports, cubes and metadata to the Pentaho platform in order to distribute BI solutions to end-users
Shows how to set up scheduling, subscription and automatic distribution

The companion Web site provides complete source code examples, sample data, and links to related resources.

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Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration Review

Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration
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Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration ReviewI wanted to do this review much sooner but I've been too busy using the book.
Jos and Roland have taken the proven formula they used in Pentaho Solutions and focused it on ETL and Kettle, AKA Pentaho Data Integration. Their magic formula is to seamlessly mix a product users guide with equal parts of real world examples and best practices training. With the addition of Matt Casters, Mr Kettle himself, the depth of knowledge in the book is now equal to it's breadth. The result is a book that you can read cover to cover and learn about all aspects of building and deploying ETL solutions, and is equally useful as a day to day reference.
The book is divided into five parts starting with an obligatory Getting Started. Getting Started, however, goes beyond the traditional "here's how to install it guide" and presents a nice tutorial on the sometimes confusing terminology and practices used in the data world. It explains how Kettle fits into this world and talks about the key concepts in Kettle. The first part ends with an excellent example ETL solution to populate a non trivial yet easily understood star schema. The example covers fact and dimension tables, change data capture, generating date dimensions and the ETL jobs and transforms required to populate the data.
The organization of the second part of the book is based on the 34 subsystems of ETL as defined by Ralph Kimball in "The Data Warehouse Lifecycle Toolkit", considered by many (including me) as the bible of data warehousing. For each subsystem, Kettle Solutions refers to the original chapters that describe the topic and provides examples on how to solve those issues using Kettle. It is a must have for anyone struggling with the concepts presented in the Kimble book. For the rare cases that Kettle does not have a straight forward solution, the book points you to other open source software that can get the job done. The authors stay true to the task of helping the ETL developer solve real problems regardless of whether Kettle is the complete solution or not.
The first two parts take up about half the book and if the authors stopped there, it would be worthy of at least 4 stars. But like most software development, the base code (in this case, the jobs and transforms) are the easy part and usually the most fun. The real hard stuff comes when you have deploy your solution into the real world, keep it running, add new capability, explain it to others and be confident that it is actually working. Part three walks you through the ETL lifecycle with best practices and pitfalls by 3 people who do (or have done) this for a living. Everything is covered from development and testing through documentation, monitoring, migrating and auditing. Part four finishes what part 3 started by covering performance tuning and scaling with topics like clustering, partitioning, cloud and real time ETL.
The last part is my favorite since it covers the advanced stuff like writing Kettle plugins, complex data formats, integrating data from web services, dynamic ETL, embedding Kettle, etc. There are many ways to extend Kettle via defined APIs and Kettle Solutions covers them all.
As you can probably tell I like the book and I use it often. I have the luxury of being able to ask Matt questions when I run into trouble. After writing the book, he now answers "it's in the book" and needless to say, it is. I can honestly say, having this book sitting on your desk is better than having Matt sitting on your desk. Kettle Solutions is also available for Kindle which, much to my surprise, has proven very useful. I use it from my iPhone and Mac via Kindle app and despite some of the Kindle app limitations like cut and paste and a good search, it is always available as a reference. The links are live which is a bonus.
I'm a fifteen year veteran of building BI software, one of the original Pentaho developers and am currently the Pentaho community guy. I work with Matt Casters, I'm not professionally affiliated with Jos, Roland or Wiley and receive no benefit from this book beyond the satisfaction of having Pentaho software be so well represented. I do consider all three of them good personal friends and I provide this review with the risk that it may greatly inflate their heads.
Doug Moran
PentahoPentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration OverviewA complete guide to Pentaho Kettle, the Pentaho Data lntegration toolset for ETL
This practical book is a complete guide to installing, configuring, and managing Pentaho Kettle. If you're a database administrator or developer, you'll first get up to speed on Kettle basics and how to apply Kettle to create ETL solutions—before progressing to specialized concepts such as clustering, extensibility, and data vault models. Learn how to design and build every phase of an ETL solution.
Shows developers and database administrators how to use the open-source Pentaho Kettle for enterprise-level ETL processes (Extracting, Transforming, and Loading data)
Assumes no prior knowledge of Kettle or ETL, and brings beginners thoroughly up to speed at their own pace
Explains how to get Kettle solutions up and running, then follows the 34 ETL subsystems model, as created by the Kimball Group, to explore the entire ETL lifecycle, including all aspects of data warehousing with Kettle
Goes beyond routine tasks to explore how to extend Kettle and scale Kettle solutions using a distributed "cloud"

Get the most out of Pentaho Kettle and your data warehousing with this detailed guide—from simple single table data migration to complex multisystem clustered data integration tasks.

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