data analysis

IoT Application and Analysis {Comments Off on IoT Application and Analysis}

By Jonathan Tr.

Technology today is growing faster than ever and improving the way we live in multiple ways. Cloud technology is now wirelessly collecting data from everyday physical objects embedded with sensors, chips, onboard computers, and so on. It’s changing the way we do habitual things like eat, sleep, and exercise while simultaneously collect and store all the data. Tech giants today like Google, Amazon, Microsoft, Cisco, IBM, Intel, and many more, are realizing the potential of this real time data and offer a variety of unique ways in processing all that raw data to turn into information for the rest of the world. One of the many problems with all this real-time data is how we can analyze this data to build IoT applications and benefit consumers and the industry. read more...

A New Approach to Analyzing Big Data {1}

by Leonardo S
The article I chose this week is titled “Trifacta Aims to Make Big Data Useful, Lands $4.3 Million From Accel Partners” by Arik Hesseldahl. The focus of the article is based around a new company called Trifacta. The company was recently started by Joe Hellerstein, a computer science professor at UC Berkeley, and Jeffrey Heer, a professor at Stanford. Their goal is to find a way to make big data analysis much easier and more accessible. They have already gotten over $4.3 million in investments from firms such as Accel Partners and X/Seed Capital. The idea that you can take a large amount of data and put it through a guided process is something is widely appealing to the whole industry. read more...

Big Data joined by Nodeable {1}

by Rudy P
I chose to read the article, “Twitter’s Open Source Big Data Tool Comes to the Cloud Courtesy of Nodeable” by Klint Finley. This article gives details of a new Big Data analysis software by Nodeable called StreamReduce. This software is based on a software created by a Twitter owned company called storm. Finley goes on to state, “StreamReduce is essentially Storm hosted in the cloud, with a few extras such as connectors to Apache Hadoop” (Finley, 2012). Nodeable began as a company which developed software for both data management and analysis, however due to market demand they have shifted their attention to analysis. Nodeable is joining an increasingly competitive market where companies such as HStreaming already exists, and possible companies such as Amazon may join in the near future. read more...

The Data Modeling Approach {2}

by Anthony T
The article focuses on data modeling as a way to improve the effectiveness of businesses. It outlines strategies in which businesses can benefit from reducing cost of marketing, higher revenue, better profitability, and competitive advantages. Predictive modeling tools, according to the article, can be especially useful in analyzing factors which are directly related to product profitability. The author also mentions the benefits of reliability and accuracy of supplier relationship management when building data models. The accessibility of modeling tools is also discussed in the article and how it is no longer only at the dispose of statisticians or experts. Modeling tools and data analysis is becoming more and more available for marketers to use. read more...

What to Expect in Data Warehousing {2}

by Penny P
Data warehouses play a critical role in corporation/institutions. They allow users to quickly retrieve data to be used for data mining or for data analysis tools. The results that they get from these tools are then used to support business decisions that would be made. The authors of the article designed a case study that would help beginners understand the basics of data warehousing. Using the enrollment data from Universities, the main objective was to prepare the data for a mining system that would be used for predicting student enrollment. read more...