The sustained success of Hadoop has brought about a radical change in big data management. This highly popular open-source MapReduce technology allows easy access and provides reliable answers to advanced data questions. Data management has been taken to the next level by Hadoop.
Salesforce is actually a cloud based Customer Relationship Management (CRM) suite that boasts of wide-ranging customization possibilities and business processes support. It is embraced by big organizations across the globe. It is endowed with incredible efficiency and capability of following a Business to Business pipeline and it offers comprehensive packages for analytics, marketing, and customer service. There are several special licenses meant for partner, as well as, customer communities that would be providing web portals integrated directly with the Customer Relationship Management. This has been very valuable because, with Communities, one could consider building a whole platform offering and collecting data from different customers in a reasonably short period of time.
The Hadoop & Salesforce Integration
Thanks to the recent integration between Salesforce and the key components of Hadoop such as Hortonworks and Cloudera, data management has become much more trustworthy and a lot easier. The recent integration of Hadoop and Salesforce marks the beginning of ease and perfection in handling huge data entries. Now it would be much more convenient in managing bulky databases and files.
Salesforce is regarded as super-efficient software for organizing business processes and data. However, this multi-tenant structure has certain limitations that would be cutting down the amount of data that could be imported and also the precise amount of time you would be using for running complicated algorithms. In this context, integration of Salesforce CRM and Hadoop is a robust choice. Salesforce could be manipulated for generating transactional data which could be saved, as well as, analyzed in Hadoop.
Today the biggest challenge is the integration of these components for daily users. It would be profitable only when database managers could effectively exploit the benefits of such integration. Enterprise organizations that seem to have already made their investment in the cloud, boast of several Salesforce orgs for serving the specific requirements of different business units.
When enterprises are interested in examining potential cross-selling interactions they are left with analyzing mammoth amounts of interaction data and other customer transactions within Hadoop clusters. Thanks to Informatica Cloud support meant for Salesforce and numerous variants of Hadoop, now you could significantly cut down your deployment time. Get in touch with Flosum.com for smart solutions.
Getting Your Salesforce Data onto Hadoop
There is a whole set of challenges involved with migrating Salesforce data to a Hadoop cluster. It offers a lot more opportunities in database integration too, like combining Salesforce data with domain-specific business data and log data. That said it doesn’t really have to be a very difficult task. There is a host of great tools and solutions like Salesforce2Hadoop which can make these entries and their transfers a piece of cake. They are generally command line tools and can be used to increase data import from Salesforce to your local file system, and support all sorts of data types like Accounts and Opportunities, and custom data types too.
The process is a bit lengthy and involves a sizeable learning curve but it is very interesting. You must update Avro Schema for every import, and this is reflected on the Enterprise WSDL too. WSC is used for the data extraction process. It is a Java Library Component which uses SOAP to interact with Salesforce and is much easier to use than SOAP itself.
There are absolutely no second thoughts about Hadoop taking data management to a whole new level of success. Hadoop is supposed to be the fresh face in the effective management of excessively bulky systems and also large files, which would otherwise, be regarded as difficult. The integration of Salesforce and Hadoop has simplified the process of large data file management. The integration has led to the emergence of newer applications which are pretty much effective in solving day to day data issues. Experts point out that only those individuals who welcome and adopt this new technology and exploit the benefit of the integration, are able to walk away victorious.
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