Data plays a crucial role in a company and it is the heart of the company.The data of a company is not static (or) stationary and is changing day to day exponentially. From the beginning of the century, we have 5 billion gigabytes of data till 2003, by 2011 the data is increased enormously in such a way that this data is generated by 2 days and later this amount of data is being generated for every ten minutes. Nowadays, data processing and reporting are changed dramatically on a variety of platforms. With the advent of Big data, Google is soon to hit the billions of data. This Bulk amount of data cannot be handled and managed by the traditional databases like SQL.They have a capacity of handling the little amount of data.Now No-SQL is ruling the world of unstructured data for storage, warehousing and analytics and Hadoop is being the most relevant technology for handling of data.Microsoft is no doubt the pioneer for data management, data warehousing, and data analytics but the problem is that it handles only the structured data. Now Microsoft is trying to handle the unstructured data using the features of MPP. And Big data has a proven experience of handling Unstructured data.
In this world, data is not in the unique format. The data is a combination of multiple forms. There is no company that relies on single types of data. The data may be in structured form (or) unstructured form (or) a combination of both.With the release of Hadoop Connector for SQL server, it is highly probable that SQL server becomes a source for Hadoop Environments as the ocean of unstructured data sits in Hadoop environment in order for the SQL server to accommodate.The connectors were probably opening a door to the possibility where SQL databases and SQL server used in a combination with Hadoop and Map Reduce so as to create opportunities for the entire ecosystem of database community.
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IT professionals like people from MSBI who use DBMS, SQL, ETL, Reporting consider this as an end of the ecosystem. But it is the just mainstream of IT sphere in the world of data.The business that runs on Hadoop on Facebook, Yahoo, Twitter. This Hadoop is supported by database giants like Teradata, Microsoft, Informatica. The challenge of Hadoop starts with bringing data into the Mainstream IT which is warehousing data, reporting, and analytics. This methodology requires activities like data profiling, data cleansing, ETL, and Data Warehouse (or) data Marts.
In the mainstream world, Hadoop is a source as well as destination, Its more like content management system functioning in the form of database.Hadoop is an MPP system that can run on parallel nodes.Cloud is one of the similar structure for the same.Any application would have to be pump –in and pump out data from Hadoop so as to import (or) export data from SQL databases to Hadoop is an evitable process.
The Microsoft version of Hadoop provides most of the commonly used Apache Big data Hadoop platforms including the Distributed File system, data transferring tools like Sqoop, HIVe for SQL Queries ODBC drivers to connect to connect your tools like Excel and SQL Server.OBDC drivers can extract the data from Hadoop, transform in SSIS and load them in a SQL server.Using ETL technique, you can use the power of Hadoop distributed systems and MapReduce so as to break down very large complex and unstructured data and then ETL portions of that into other systems.It is the easiest way to transfer data to SQL server from Hadoop without using Sqoop using the tools like SSIS.
This Integration of Hadoop and MSBI is essential and plays a major role for the purpose of data analyzing the data and for the future prediction of data so as to get the best results of the organization
It’s better to have a fundamental knowledge of keeping up and examining them for implementation. No Programming abilities were required to take in this course. It’s great to have knowledge of the utilization of Excel or the worksheets to understand the whole design of MSBI.
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