ProjectPro
APRIL 17, 2015
“Any sufficiently advanced technology is indistinguishable from magic.”– said Arthur C. Clark. Big data technologies and practices are gaining traction and moving at a fast pace with novel innovations happening in this space. Big data companies are closely watching the latest trends in big data analytics to gain competitive advantage with the use of data.
Zalando Engineering
APRIL 19, 2015
The standard way to kill a TCP connection in PostgreSQL is to use pg_terminate_backend($PID). However, in some situations this function does not work. To help you avoid negative outcomes when closing such connections, here is a simple hack. Undead queries The Zalando team relies on PostgreSQL for almost all backend applications and we manage more than a hundred database clusters reliably storing terabytes of data.
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ProjectPro
APRIL 14, 2015
1 of 18 people in US today use big data analytics in finding companionship.Couples are finding love online and online dating today has become a big business. Online dating sites combine "data" and "analytics" to help people find their perfect soul mate. The real hero behind the success stories of online love is the big data analytics technology and infrastructure that help people find their perfect life partner based on their stated preferences and behavioural matching.
ProjectPro
APRIL 11, 2015
Computer network technologies have witnessed huge improvements and changes in the last 20 years. After the arrival of Internet (the most popular computer network today), the networking of computers has led to several novel advancements in computing technologies like Distributed Computing and Cloud Computing. The term distributed systems and cloud computing systems slightly refer to different things, however the underlying concept between them is same.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
ProjectPro
APRIL 29, 2015
In the next 3 to 5 years, more than half of world’s data will be processing using Hadoop. This will open up several hadoop job opportunities for individuals trained and certified in big data Hadoop technology. Organizations are struggling hard to hire competent hadoop talent as they want to be assured that the people they hire have the ability to handle huge amounts of data effectively to derive business insights.
ProjectPro
APRIL 27, 2015
Big data is the fuel driving most of the data driven businesses today by accelerating growth, informing strategy and improving the operational efficiency. Wikibon predict that the big data technology market will grow by 22% reaching $33.31 billion in 2015.According to a combined study by EMC and IDC, 2837 Exabyte’s (Exabyte is a billion gigabytes) of data was generated in the digital universe and it is expected to grow to 40,000 Exabyte’s by the end of 2020.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
ProjectPro
APRIL 4, 2015
With the help of our best in class Hadoop faculty, we have gathered top Hadoop developer interview questions that will help you get through your next Hadoop job interview. IT organizations from various domains are investing in big data technologies, increasing the demand for technically competent Hadoop developers. To build career as a Hadoop developer, one must be clear with Hadoop concepts and have a working knowledge of analysing data using MapReduce, Hive and Pig.
ProjectPro
APRIL 2, 2015
Retail big data analytics is the future of retail as it separates the wheat from the chaff. Retail industry is rapidly adopting the data centric technology to boost sales. Retailers who use predictive analytics achieve 73% higher sales than those who have never done it. Retailers are gasping big data solutions through customer analytics to grow faster, increase profitability and win competitors rat race by personalizing their in-store and online product offerings.
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