Pharmaceutical companies are embracing new generation websites to increase global outreach!!

Brand building is the bloodline in today’s competitive world of pharmaceutical marketing. After conventional brand building of new drugs, today Pharmaceutical enterprises are following the trends of building their brands online for greater outreach. In the initial years brand building was all about creating brand awareness to stay ahead of competitive brands and brand extension. Continue reading “Pharmaceutical companies are embracing new generation websites to increase global outreach!!” »

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Expanding our Healthcare and Life Sciences services

The Indian healthcare industry is expected to touch US$ 250 billion by 2020. The year over year (YOY ) double digit growth can be attributed to rising population, increasing lifestyle related health issues, cheaper treatment costs, thrust in medical tourism, improving health insurance, government initiatives in rural, semi-urban areas and focus on public private partnership models. Continue reading “Expanding our Healthcare and Life Sciences services” »

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Data Integration for Salesforce.com is no more a challenging task

Enterprises implement SalesForces so that teams can focus on customers and revenue, leaving the rest to automation. But when companies try to extend that automation by integrating SalesForce with an ERP, the result too often is more headache than focus. MIDAS an ETLE Tool (Extraction, Transformation, Loading and Enrichment) resolves the challenge by seamlessly integrating capabilities from Saleforce to and from SAP, EBS and other ERPs. Midas seamlessly integrates Saleforce.com with SAP, Oracle E-Business Suite and other ERPs.

Feature set

• Cloud based solution for invoking transformations and jobs remotely
• Broad connectivity and data delivery
• Hosting a Cloud solution with multi-tenancy capability
• Social connectors – Facebook, Twitter and LinkedIn
• Custom Connectors - SAP, Oracle E-Business Suite and Salesforce.com
• Analytics integration with Pentaho Reports, OBIEE and SAP BusinessObjects
• Powerful administration and management
• Data profiling and data quality
• Single interface to manage all the integration projects
• Flexible deployment options
• Bi-directional CRM-ERP integration

Key Benefits

• Designed for seamlessly integrating Salesforce.com with ERPs and other applications
• 300 plus Open - source connectors out of the box
• Transparent diagrammatic depiction of data transfer steps
• Removes custom coding for quick turn around
• Reduces integration and maintenance costs
• Improves data quality
• Shortens implementation time
• Easy installation and configuration
• Business continuity and application availability management
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PIG and Big Data - Processing Massive Data Volumes at High Speed

For most organizations, availability of data is not the challenge. Rather, it’s handling, analyzing, and reporting on that data in a way that can be translated into effective decision-making.

PIG is an open source project intended to support ad-hoc analysis of very large data volumes. It allows us to process data collected from a myriad of sources such as relational databases, traditional data warehouses, unstructured internet data, machine-generated log data, and free-form text.

How does it process?

PIG is used to build complex jobs behind the scenes to spread the load across many servers and process massive quantities of data in an endlessly scalable parallel environment.

Unlike traditional BI tools that are used to report on structured data, PIG is a high level data flow language which creates step-by-step procedures on raw data to derive valuable insights. It offers major advantages in efficiency and flexibility to access different kinds of data.

What does PIG do?

PIG opens up the power of Map Reduce to the non-java community. The complexity of writing java programs can be avoided by creating simple procedural language abstraction over Map Reduce to expose a more Structured Query Language (SQL)-like interface for big data applications.

PIG provides common data processing operations for web search platforms like web log processing. PIG Latin is a language that follows a specific format in which data is read from the file system, a number operations are performed on the data (transforming it in one or more ways), and then the resulting relation is written back to the file system.

PIG scripts can use functions that you define for things such as parsing input data or formatting output data and even operators. UDFs (user defined functions) are written in the Java language and permit PIG to support custom processing. UDFs are the way to extend PIG into your particular application domain.

PIG allows rapid prototyping of algorithms for processing petabytes of data. It effectively addresses data analysis challenges such as traffic log analysis and user consumption patterns to find things like best-selling products.

Common Use Cases:

Mostly used for data pipelining which includes bringing in data feed, data cleansing, and data enhancements through transformations. A common example would be log files.

PIG is used for iterative data processing to allow time sensitive updates to a dataset. A common example is “Bulletin”, which involves constant inflow of small pieces of new data to replace the older feeds every few minutes.

Sailaja Bhagavatula specializes in SAP Business Objects and Hadoop for Bodhtree, a business analytics services company focused on helping customers get maximum value from their data. Bodhtree not only implements the tools to enable processing and analysis of massive volumes of data, we also help business to ensure the questions being asked target key factors for long term growth.

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