11 Telecom Operators Sharing Case Studies and Perspectives Monetising Big Data in Telecoms World Summit 2015

Senior Directors from 11 telecom operators namely Aircel, Bedigital, Bharti Airtel, Celcom, Digi, Globe Telecom, Indosat, StarHub, True Corporation, Vodafone & XL Axiata will be sharing case studies and perspectives on how to monetise internal and external big data at ...

Apache Flink: Possible replacement for Hadoop?

Earlier this week, Apache Software Foundation unveiled its latest Top Level Project (TLP), Flink. Flink is just one of the many data processing tools that have emerged since the Java-based distributed computing platform Hadoop has increased adoption in the enterprise space. Flink is ...

5 Trends in Big Data revealed

Even if the term big data is overused to encompass more about the digital world than it should, there is no denying it’s relevance to today’s enterprises. Companies have been forced to re-examine their data management strategies to make the most ...

3 useful tools for big data log analysis

When looking around the data center, it's difficult to ignore the potential in all of the big data available from infrastructure systems. There are server and application logs, data from network and storage taps, and metadata from databases and applications. ...

Hadoop predictions for 2015

Hadoop adoption and innovation is moving forward at a fast pace, playing a critical role in today's data economy. But, how fast and far will Hadoop go heading into 2015? Prediction 1: Hadooponomics makes enterprise adoption mandatory. The jury is in. Hadoop has been ...

Monetising Big Data in Telecoms World Summit 20 – 21 April 2015-Singapore

The wave of big data technology adoption that is taking place globally cannot be ignored!  The benefits that it can bring to businesses are tremendous and proven by many cases round the world. With this view in mind and after an ...

MongoDB, Cassandra, and HBase-the three NoSQL databases to watch

Hadoop gets much of the big data credit, but the reality is that NoSQL databases are far more broadly deployed -- and far more broadly developed. In fact, while shopping for a Hadoop vendor is relatively straightforward, picking a NoSQL ...
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