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MongoDB and Logi Info: The Intersection of Big Data and Embedded Analytics

By Logi Analytics | March 18, 2014
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It is nearly impossible these days to read anything that does not somehow refer to Big Data. Whether it is an upcoming tech IPO or some secret government program, Big Data is in the news.

Big data can mean a lot of things to different people. Definitions of big data typically revolve around an ever-growing volume of data, an increasing velocity in the generation of that data, and an increased variety of types of data. Some folks will debate whether this is a completely new phenomenon. Two things are clear – there are many offerings in the marketplace attempting to address the big data challenges, and it is a fast evolving marketplace.

It is in this changing environment that our customers are looking to understand how these new solutions can be combined with their traditional approaches to create new applications once thought impossible, to develop competitive advantages and to reduce costs.

Enter NoSQL and MongoDB

One of the newer and most popular approaches for handling large scale and flexible data requirements is NoSQL based database solutions and the leading NoSQL database in the marketplace today is MongoDB.

MongoDB empowers businesses to be more agile and scalable with their data. Application developers particularly like the flexible document oriented store, which allows for the direct storage and retrieval of structured, semi-structured and polymorphic data without the need for complex object relational mapping.

Developing a Data and Information Fabric of the future

You’ll note I refer to the term information. Data, whether you have a little of it or a lot of it, whether it is changing quickly or slowly, whether it is structured or unstructured, will add very little value to the top line or bottom line of an organization unless you can extract the information housed deep in the data. Often that is where the real challenges begin, turning data into information. This is where analytics and business intelligence platforms like Logi Info come in. I like to think of this as building the data and information fabric for the future of your organization.

Adopting an application mindset for Analytics

Most traditional BI products on the market today are built and designed with a BI Analyst, OLAP cube and Data Warehouse mindset. These offerings are often packaged as specialized tools offered only to specialized BI Analysts. This mindset no longer works.

The next wave of analytics is embedded analytics within an application. Customers and end users demand analytics as a core capability in their application. In fact one can argue that an application is not a modern application unless it offers embedded analytics. When you combine this evolution of analytics with the evolution of a new data fabric, you quickly discover that the analytics world is changing from a focus on BI specialists to a focus on empowering application developers and application authors to create differentiated applications. We are developing an application mindset.

Making this application mindset a reality requires new thinking about BI and Analytics tools. BI and analytics offerings should not be thought of as monolithic, but rather as flexible frameworks that can be assembled and reassembled to meet the unique needs of users and customers. On a technical level, it means offering application developers the benefits of rapid time to value while offering direct access and control over the underlying data stores like MongoDB. It means offering support for the preferred interfaces offered by MongoDB, including the Find API, the aggregation pipeline, Run Command and MapReduce. Notice I don’t mention OLAP, SQL or MDX anywhere in this paragraph.

Logi Info expands its support for MongoDB

Logi Info has long been a favorite among software companies and enterprise application developers looking to embed analytics within the context of their existing applications. For those companies leveraging MongoDB, our 11.2 release of Logi Info offers an expanded level of integration between the Logi Info platform and MongoDB.

mongo and logi

The combination of Logi Info and MongoDB helps report authors and BI application developers to:

  • Extract Value from Big Data and all their data sources – With Logi Info’s rich data access and mash up capabilities, MongoDB data can be accessed, mashed up and visualized and reported in combination with any other data.
  • Big Data Shaping – Reporting and Creating Visuals on data stored in MongoDB and other hierarchical data sources is now possible with the new Logi Info Data Flattener element.
  • Direct support for MongoDB core capabilities – Logi Info provides direct access to key capabilities in MongoDB including support for Find and Run commands, Aggregation Framework, Map Reduce and writebacks.

 

About the Author

Logi Analytics is the leader in embedded analytics. We help team put business intelligence at the core of their organizations and products.

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