Build rich, smart HTML5 and JavaScript apps for any platform, browser or device
Use Angular, TypeScript or JavaScript to build truly native mobile apps
Deliver superior customer experiences with an AI-driven platform for creating and deploying cognitive chatbots
Deliver Awesome UI with the most complete toolboxes for .NET, Web and Mobile development
Automate UI, load and performance testing for web, desktop and mobile
A complete cloud platform for an app or your entire digital business
Detect and predict anomalies by automating machine learning to achieve higher asset uptime and maximized yield
Automate decision processes with a no-code business rules engine
Optimize data integration with high-performance connectivity
Connect to any cloud or on-premises data source using a standard interface
Build engaging multi-channel web and digital experiences with intuitive web content management
Personalize and optimize the customer experience across digital touchpoints
Build, protect and deploy apps across any platform and mobile device
Rapidly develop, manage and deploy business apps, delivered as SaaS in the cloud
In my role as DataDirect Systems Engineer + IBM Certified Cognos Developer, I have been integrating data for IBM Cognos shops ranging from relational data sources on premise to SaaS data sources in the cloud; and next up: "Big Data". IBM's Apache Hadoop solution, InfoSphere BigInsights, integrates nicely with IBM Cognos 10.2 using DQM. However, my most recent engagements include shops requiring ODBC connectivity or those who have adopted other Hadoop distributions such as Cloudera, Hortonworks, Map/R, Apache, Amazon EMR, Pivotal, etc.
With DataDirect XE Hadoop Big Data Connectors, IBM Cognos shops have a full range of connectivity options for Hadoop Hive across Windows, AIX, Linux, Solaris, and HP-UX:
1- Download a trial of the DataDirect Connect XE for ODBC Cloudera driver.
2- Configure ODBC data source to Cloudera 4.1. On Advanced tab, set Max Varchar Size to be 255 since my character data does not include long strings.
3. Launch Framework Manager and select Data Sources for the metadata model
4. Create new data source matching the name in step #1.
5. Select data source type "ODBC"
6. Navigate to the data source and select objects directly from Cloudera to import
7. Publish the package and launch Report Studio to run a simple list report
8. Run the report to fetch data directly from Cloudera Distribution. Dummy data returned below is from one of our QA tables, but you can pretend it is something of big data significance like input from web forms.
Cognos shops have been really excited about having reliable connectivity into their big data infrastructure.
Check back on the blog for the next IBM Cognos tutorial for our JDBC connectors to Hadoop Hive.
Call us at N. America: (800)876-3101 | World: +44 (0) 1-344-386-367 to learn more about the latest big data access technologies and our project experience.
Sumit Sarkar is a Chief Data Evangelist at Progress, with over 10 years experience working in the data connectivity field. The world's leading consultant on open data standards connectivity with cloud data, Sumit's interests include performance tuning of the data access layer for which he has developed a patent pending technology for its analysis; business intelligence and data warehousing for SaaS platforms; and data connectivity for aPaaS environments, with a focus on standards such as ODBC, JDBC, ADO.NET and ODATA. He is an IBM Certified Consultant for IBM Cognos Business Intelligence and TDWI member. He has presented sessions on data connectivity at various conferences including Dreamforce, Oracle OpenWorld, Strata Hadoop, MongoDB World and SAP Analytics and Business Objects Conference, among many others.
Copyright © 2018 Progress Software Corporation and/or its subsidiaries or affiliates. All Rights Reserved.
Progress, Telerik, and certain product names used herein are trademarks or registered trademarks of Progress Software Corporation and/or one of its subsidiaries or affiliates in the U.S. and/or other countries. See Trademarks for appropriate markings.