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Showing posts with label introducing bigdata. Show all posts
Showing posts with label introducing bigdata. Show all posts

Thursday, 3 October 2013

Building Big Data or Big Risks?

Big Data or Big Risks
The world was shocked a few months back when media reports revealed that US National Security Agency  was gathering personal data of all citizens and storing it in a large data warehouse. Everyone was outraged at this invasion of privacy by their own country's national guards. But wait a minute! Marketing companies, product and service providers have been collecting our info since time immemorial. Why is it that we think our details with them are not being misused, and the one with NSA is? At least NSA is well equipped to keep it safe and secure.  

Companies that are building Big data don't realize that unintentionally they are putting it under big risk too. They may inadvertently share consumer's personal information such as address, date of birth, contact number and even annual income. The most prevalent example is the logistics chain that uses customer personal info to deliver goods. Such information moves from retailer to wholesaler and manufacturer, and then to logistics companies before reaching the customer. Although this process may support stakeholders to efficiently deliver the product, but this information is also vulnerable for misuse. The onus lies with companies to make sure that personal information is being used sensibly.

IntroducingBig Data, Hadoop, and No SQL Databases Training will help you understand the fundamentals of this concept and also make you avoid the mistakes outlined above using NoSQL and Hadoop databases. The biggest strength of Big data is also is biggest weakness. That is, its ability to combine data from multiple sources. In such cases, individuals can be identified by simply merging multiple data sets into one. While companies may take measures and classify information as non sensitive, but they don't realize the repercussions when non sensitive information becomes sensitive when combined.


Koenig Solutions offers this course for users who wish to build secure big data and leverage it for best possible use.

Tuesday, 23 July 2013

Big Data Hadoop NoSQL

Introducing Big Data, Hadoop and NoSQL Database
Did you know that in 2012, 2.5 quintillion bytes (2.5×1018) of data was created every day, according to a report by IBM. Big Data is a growing concern among organizations and governments that need to process huge amounts of unstructured data and make sense out of it for business and research purposes. Data is increasing at such a speed because it is constantly being gathered by sensory devices such as mobile devices, cameras, Radio Frequency Identification Readers, microphones and wireless sensor networks.

Managing Big Data using Hadoop and NoSQL

Big Data is complex and difficult to work on because it requires specialized database and distribution platforms, that are capable of handling large amounts of data. Introducing Big Data, Hadoop  and NoSQL database training from Koenig Solutions takes care of these aspects with a 360 degree approach. A Java based software distribution platform such as Apache Hadoop is capable of processing and organizing Big Data using MapReduce, HDFS and other intelligent features.


In conjunction with Hadoop, NoSQL also offers a highly scalable and flexible database solution for retrieving and storing Big Data efficiently. With this unique course you can be assured that armed with such wealth of knowledge, you will be an asset to any organization that you work for. With your expertise in handling Big Data, large conglomerates and MNCs would be glad to have you on board. So don't even think twice before jumping on this opportunity to help your career take the right turn towards success.