ETL - Rittman Mead

The Case for ETL in the Cloud - CAPEX vs OPEX

Recently Oracle announced a new cloud service for Oracle Data Integrator. Because I was helping our sales team by doing some estimates and statements of work, I was already thinking of costs, ROI, use cases, and the questions behind making a decision to move to the cloud. I want to

odi

ETL Offload with Spark and Amazon EMR - Part 5 - Summary

This is the final article in a series documenting an exercise that we undertook for a client recently. Currently running an Oracle-based datawarehouse platform, the client asked for our help in understanding what a future ETL and reporting platform could look like, given the current landscape of tools available. You

emr

ETL Offload with Spark and Amazon EMR - Part 3 - Running pySpark on EMR

In the previous articles (here, and here) I gave the background to a project we did for a client, exploring the benefits of Spark-based ETL processing running on Amazon's Elastic Map Reduce (EMR) Hadoop platform. The proof of concept we ran was on a very simple requirement, taking inbound files

spark

ETL Offload with Spark and Amazon EMR - Part 2 - Code development with Notebooks and Docker

In the previous article I gave the background to a project we did for a client, exploring the benefits of Spark-based ETL processing running on Amazon's Elastic Map Reduce (EMR) Hadoop platform. The proof of concept we ran was on a very simple requirement, taking inbound files from a third

OBIA

Becky's BI Apps Corner: OBIA 11.1.1.10.2 New Features Part 1 - Health Check & ETL Diagnostics

I have been working with BI Applications since OBIA switched to ODI in version 11.1.1.7.0. I have installed and worked with all of the 11.x versions using several different sources. This most recent version of OBIA may only be a Patch-Set release, but it has

Technical

Going Beyond MapReduce for Hadoop ETL Pt.1 : Why MapReduce Is Only for Batch Processing

Over the previous few months I’ve been looking at the various ways you can load data into Hadoop, process it and then report on it using Oracle tools. We’ve looked at Apache Hive and how it provides a SQL layer over Hadoop, making it possible for tools like