Many organizations would like to develop and incorporate a NoSQL data model in their existing architectures, and to hire staff with Data Modeling skills. Unfortunately, there is a significant lack of data modelers with NoSQL experience, and reliable NoSQL Data Modeling tools are only just beginning to emerge into the market. The shortage of experienced […]
Overview of the Newest Trends in Data Science Education: Academic and Work-Based Programs
In spite of significant efforts to train more Data Scientists, a shortage continues to exist. There is simply more demand than available applicants for this new career field. Data Science education is a growing field requiring both training and hands-on experience. Some have gained an understanding of Data Science through non-academic experience, while others have […]
OLAP, Hadoop, and Multi-Dimensional Analytics Combined
Kyvos Insights offers OLAP (Online Analytical Processing) software, which works directly with Hadoop storage systems. The use of Hadoop counteracts OLAP’s historical problem of lacking scalability. Their software constructs “cubes” on Hadoop which, in turn, supports multi-dimensional analytics. The OLAP/Hadoop combination supports the processing of both unstructured and structured data at any scale, in turn, […]
The University of Virginia’s Data Science Education and Data Science Institute
The University of Virginia was founded in 1819 by Thomas Jefferson, and is now offering a Master of Science degree in Data Science (MSDS), and a new “dual degree” with a Master in Business Administration and a Master of Science in Data Science (MBA/MSDS). Their goal is to prepare the leaders of tomorrow in using […]
Enhanced Real-Time Data Processing with Redis Labs’ In-Memory Database Solution
In 2009, Salvatore Sanfilippo began the Redis project, a supplemental software program designed to improve LLOOGG (currently an open source project), by helping it to process data more quickly and efficiently. From there, the Redis project blossomed into Redis Labs, providing services and products to augment a customer’s Data Management potential through an advanced, NoSQL, […]
Data Analytics Education and Data Science: The University of Maryland’s Ten-Year Plan
On May 1, 2015, the University of Maryland’s Department of Computer Science presented a 10-year plan, placing a focus on expanding two areas of computer science: a comprehensive Data Analytics education and Data Science program, that also included a focus on Augmented/Virtual Reality. They recognized the need for Big Data expertise and the use of […]
Utilizing Multiple Data Stores and Data Models: Is Polyglot Persistence Worth It?
Polyglot Persistence is a process for storing data in in the best database available, no matter the data model and data storage technology. This process is based on the understanding different data stores will handle certain types of data better than others. Polyglot Persistence is, unfortunately, not available for easy “downloading”, but must designed for […]
Enterprise Cloud Management: Big Data, MDM, and Graph Database Realization
Reltio was originally founded in 2011, based on the premise organizations need quick and reliable access to relevant information. The Reltio goal is to help companies turn data into useful information. To this end, Reltio has developed an Enterprise Cloud Management platform for their clients, providing the tools and services needed to accomplish this goal. […]
Deep Learning Technology Brings Neural Networks into Practical Application
Neurala designs and produces software that imitates the actions of the human brain through Deep Learning technology. In 2013, it was awarded a contract with NASA to train the rover, Curiosity, to travel across the Martian terrain. The software Neurala (pronounced neural with an “ah” ending) developed is designed, not just for Mars, but for […]
Machine Learning Algorithms Today: Usage and Results
Machine Learning algorithms can predict patterns based on previous experiences. The overarching practice of Machine Learning includes both robotics (dealing with the real world) and the processing of data (the computer’s equivalent of thinking). These algorithms find predictable, repeatable patterns that can be applied to eCommerce, Data Management, and new technologies such as driverless cars. […]