For a long time, the industry’s biggest technical challenge was squeezing as many compute cycles as possible out of silicon chips so they could get on with solving the really important, and often gigantic problems in science and engineering faster than was ever thought possible. Now, by clustering computers to work together on problems, scientists are free to consider even larger and more complex real-world problems to compute, and data to analyze.
- Adaptive Computing
- Bright Computing
In this new Guide to Big Data for Finance the goal is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark, and O’Reilly Media , a leading voice in Data Science, has announced the launch of the first, global Apache Spark Developer Certification program.
This article is the third in an editorial series that will review how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter decisions and improve business outcomes.. It is important to adopt a predictive analytics solution that meets the specific needs of different users and skill sets from beginners, […]
MapR Technologies, Inc., provider of a leading distribution for Apache™ Hadoop®, today announced the availability of the 4.0.1 version of the MapR Distribution including Hadoop.