Best Data Analytics and Data Engineering services company

We offer a wide array of solutions in the area of Data Analytics Services.

Big Data Solutions
Since 2000, there has been a huge upsurge in the data generated every day in the business world and this volume is more than ever in the history of humankind. How can we Analyze and Visualize this data? Apart from the Volumes, the Variety, the Velocity with which it flows in is paramount. This VVV data has to be managed, enriched and an insight gained into it.

ERP, SCM, CRM are classic examples of highly structured data stored in an RDBMS such as Oracle and SQL Server. Web logs, Social interactions and feeds contributed to data volumes moving from gigabytes to terabytes. RFID, GPS navigation, aircraft information moved this data to Petabytes.

When data that is generated is structured, relational data models/stores are ideal for storing and retrieving data. In contrast non-relational stores are suited for non-structured data while analysis is carried out programmatically. Modern data platforms must support both types of data equally well.

Big data needs to be managed, enriched and an insight gained into it in order to make use of this huge data available

Data Management: Regardless of whether the data is relational, non-relational or streaming data, the need is to monitor and manage it without having to worry about scale, performance, security and availability. Structured data management is supported by platforms such as SQL Server engine. Unstructured data is supported in platforms such as HDinsights which is 100 % open source implementation.

Examples of a few third party providers helping further opening up possibilities with Bigdata are Karmasphere, Datameer, & Hstreaming.

Data Enrichment

Data Discovery is made easy through data recommendation. It is important for a value based service to recommend data sets that add value to choices being made.

Example: if you consider a Customer dataset, Dunn and Bradstreet is recommended which has credit information. You can connect and combine data from hundreds of trusted data providers. Example: US census bureau.

This helps in combining personal data with organizational data with community and finally world data to enhance value for the base data considered.

Data Insights

Visualization and Analysis offered by PowerView and PowerPivot along with SSRS, PPS and Microsoft office shared through sharepoint collaboration offers excellent visualization

With big data gaining in a big way, offerings are available with rapidly increasing features

Data Integration Solutions
Data integration involves combining data residing in variegated sources and providing users with a integrated and unified view of this data. This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration has become the focus of extensive theoretical work, and numerous open problems remain unsolved.

A system designer constructs a mediated schema against which users can run queries. The virtual database interfaces with the source databases via wrapper code if required.

Data integration involves combining data from several disparate sources, which are stored using various technologies and provide a unified view of the data. Data integration becomes increasingly important in cases of merging systems of two companies or consolidating applications within one company to provide a unified view of the company s data assets. The later initiative is often called a data warehouse. For more details visit our website http://www.crossroadelf.com or contact 7899757299