Organizations desirous of placing themselves ahead in today’s cut-throat competitive scenario are choosing to treat their clients like valuable data owners. They are distinguishing themselves competitively, increasing overall brand loyalty, and reaping lucrative financial rewards in return. Usage-based insurance (UBI) modules and Fitbit are primary instances of the ways in which customers are trading personal data in the form of transparent market transactions. Yes, as per the results of a...
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Common business solutions and conventional analytics are now giving way to more informed and complicated Big Data analytics. With better-analyzed results in their hold, data scientists are making more result-oriented data-driven decisions, analyzing massive volumes of data, and amassing more useful knowledge databases than ever before. So, how do billions of rows of structured, semi-structured, and unstructured data, with millions of combinations in abundant formats and multiple data stores,...
Be it Oracle’s ORCL +0.00%, Microsoft’s MSFT +0.00% Access, or IBM’s IBM -0.61%’s DB2, these relational databases form a solid backbone for all kinds of data accumulation and storage needs. They are indispensable for structuring and accessing most forms of data; but then, they have their limitations when it comes to handling the complexities of extremely large-sized data sources. This is where a totally new category of the database comes to the rescue for handling Big Data challenges, and how!...
Organizations today face a challenge of data disparity greater than ever before. Driven by company size and type, the data is huge, complex and is generated in different forms and varieties like -
- Structured data
- Internal unstructured information – documents, images, files
- Web generated text data – Tweets, Facebook posts, LinkedIn updates
- Machine data – information from sensors or other electronic devices
- Location data – Mobile GPS data
Hadoop is a solution to the problem of Big Data. It...
With Hadoop rising by leaps and bounds on the popularity charts, and MapReduce seemingly running out of friends, business owners and corporate managers are now looking for innovative tools for giving back quicker solutions. Recent trends are tracking important new developments in the maturing NoSQL space and Hadoop stack.. and lots more.
Read on for a closer look at some popular open source big data tools that are making their presence felt in the ever increasing world of big data.