Pentaho Tutorials: Try With Confidence

CHAPTER 1: EXTRACT AND LOAD

In Step 1 of Pentaho Tutorial, you will retrieve data from a flat file and use the Text File Input step to: connect to a repository, and retrieve the data contents.

CHAPTER 2: FILTER RECORDS

After completing Step 1: Extract and load data, in this section of the tutorial you are ready to add a transformation component to your data pipeline.

CHAPTER 3: LOOKUPS AND FORMATTING

In Step 3: Perform a lookup step to resolve missing records. This section of the Pentaho tutorial demonstrates how to use a second text file.

CHAPTER 4: MAPPING AND RANGES

Cleanse and bucket your data to create a single source of truth. Also, this tutorial demonstrates how to use buckets for categorizing the SALES data

CHAPTER 5: RUN EXECUTION ENGINE

This section of the Pentaho tutorial demonstrates how to run your transformation on Pentaho Data Integration's local execution engine.

CHAPTER 6: BUILD A JOB

Master extract, transform, load activities - In this tutorial we will tell you how to build a job, they are used to coordinate ETL activities.

WHAT’S NEW IN PENTAHO 9.0: MULTCLUSTER ENHANCEMENTS

In new Pentaho 9.0, you can now access and process data from multiple Hadoop clusters within a single session of Pentaho Data Integration.

METADATA INJECTION

In Pentaho , you can create a transformation to use as a template for your repetitive tasks to reduce repetitive ETL tasks.

DATA SCIENCE TOOLKIT

Take advantage of the strengths of the Python's versatile programming language to develop predictive solutions using existing Pentaho  steps.

COBOL COPYBOOK STEP

With Pentaho  you can access mainframe files to improve business insights. It has two transformation steps you can use to read mainframe records

STREAMLINED DATA REFINERY

Slice and dice data to answer undefined questions. In this Pentaho Tutorial, let's talk about Data Marts on demand using streamlined data refinery.

WHATS NEW IN PENTAHO

Check out what's new in Pentaho and learn about the variety of latest features and enhancements in Pentaho Data Integration.

PENTAHO BEST PRACTICES

Validated best practices from Pentaho Support. It contains helpful information to help you accomplish optimal use and performance.

MULTITENANCY

Implement a variety of mutli-tenancy approaches. Taking advantage of Pentaho’s multi-tenancy capabilities can provide sophisticated analytics.

EMBED PENTAHO ANALYTICS

Embed Pentaho server functionality into web applications - In this tutorial, learn how Pentaho helps you to embed analytics and improve decision-making.

PLATFORM JAVASCRIPT APIS

You can develop your own JavaScript components for Pentaho using our Platform JavaScript APIs. These APIs standardize across the Pentaho platform.

CONTINUOUS INTEGRATION WITH PENTAHO

Create an automated environment for iterative development. Driving DevOps Success with Continuous Integration.

LUMADA DATA SERVICES

Simplify data management with automation and collaboration. Build an intelligent dataops practice with Lumada data services.

LUMADA DATAOPS CATALOG

Accelerate data discovery for analytics, compliance, rationalization and tagging to secure sensitive data, and infer hidden relationships.

LUMADA DATA OPTIMIZER FOR HADOOP

Reduce Hadoop costs with an intelligent data tiering solution. Learn how Lumada data optimizer for Hadoop unlocks data value.

PENTAHO FOR DATA INTEGRATION AND ANALYTICS SOFTWARE

Align IT infrastructure and business strategy with Pentaho for data integration. Access, prepare and analyze all your data from any source.

LUMADA EDGE INTELLIGENCE

PENTAHO OFFICE HOURS

Cover the basics with a Pentaho technical expert.

FREE PENTAHO TRAINING

Online training covering intermediate PDI.

REQUEST A DEMO

Get a personalized demo from a Pentaho Expert.

CONTACT US

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