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
Following Data Summit 2014 in Manhattan, I spoke with panels of industry experts about NoSQL technologies related to financial services. Coincidentally, MongoDB headquarters is down the street and they have very clever business cards.
I was able to speak with conference attendees about their use of MongoDB and learned how valuable it is for ingesting and storing raw data for operational use including tick data, FIX messages, SWIFT, FpML, etc. I learned about several high data volume use cases being driven by regulations such as Dodd-Frank and EMIR. The consensus was that standards based SQL access provides greater potential for adoption of MongoDB by seamlessly integrating from a wide range of BI or warehousing tools for regulatory reporting and analytics directly from the source system.
The feedback I hear from financial services shops with SQL access to NoSQL is that the sampling of data to define a schema introduces potential for data loss, which is not an option for regulatory reporting. What happens to embedded arrays? What if the “schema” on read changes? Will my ETL, Pig or Map/Reduce jobs break as document structures change?
DataDirect introduces the first reliable MongoDB ODBC connector that provides flexible normalized “schema on read” functionality to query MongoDB using SQL, while optimizing SQL queries against the expanding MongoDB query API. This logical schema does not require additional ETL steps or data movement, and is yet another engineering marvel for DataDirect R&D.
1. BI Infrastructure: Instantly connect any versions of your BI tools across SAP Business Objects, IBM Cognos, Tableau, Oracle Business Intelligence (OBIEE), Microstrategy, SQL Server Reporting Services, SAS, SPSS, Qlikview, Spotfire, and more. Or extract the data with less development time using ETL platforms such as IBM DataStage, Informatica, Ab Initio, SSIS and more. A JDBC driver will be available as well for those building organic warehousing infrastructure.
2. Database Federation: Given the tiered economics of database storage, MongoDB can serve as a lower cost staging area for either structured or unstructured data that is accessible directly in real-time using ODBC in conjunction with RDBMS federation technologies including Oracle Database Gateway and SQL Server Linked Server.
3. Democratization of MongoDB: Standard SQL access to data enables a larger audience to derive business value. Especially for self service analysts or citizen developers who are unfamiliar with MongoDB APIs. It’s common for them to run Microsoft Office, Data Visualization Tools, or even SaaS BI applications that have open JDBC support such as Birst.
We’re not guaranteeing ACID compliance, but it sure does look like an RDBMS through our connection.
We expect GA later this month after which point you can download the DataDirect MongoDB ODBC driver.
Register to meet the core product owners at MongoDB World behind this engineering feat, or call us at 1-888-332-6797 to learn about our direct connection to MongoDB that gives you the power of both SQL and NoSQL.
If you’re a business intelligence or data warehousing professional in financial services for which MongoDB is one of many sources you consume, here’s a great webinar to learn more about why your operations team adopted MongoDB: How to Drive Business Value in Financial Services with MongoDB
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.