Analytics with NoSQL
The Big Data era has made the management and preparation of data for analytics increasingly complicated. Notwithstanding all the attention and new tools available, preparing and sourcing data for analytics still requires 80% of the time, which is more than anyone finds acceptable.
There are many shades of difficulties: sourcing the data from disparate locations and formats, integrating the different data coherently, scoring the data efficiently, and making sure the whole process happens fast enough for the result to be business-relevant.
The cost of an insight is a function of the data volume, schema complexity and development cycles. The promise of the NoSQL movement was to reduce the barriers to the end users so that the analysis could occur in their hands across all the data. We will ask can a fast, robust and iterative analysis of Big Data exist? Can we generate and test insights? How much of BigData data discovery has been solved and how much more remains?
Presenter: Afshin Goodarzi, Vice President of Analytics for 1010data
A veteran of analytics, Goodarzi has lead several teams in designing, building and delivering predictive analytics and business analytical products to a diverse set of industries. Prior to joining 1010data, Goodarzi was the Managing Director ofMortgage at Equifax, responsible for the creation of new data products and supporting analytics to the financial industry. Previously, he lead the development of various classes of predictive models aimed at the mortgage industry during his tenure at Loan Performance (Core Logic). Earlier on he had worked at BlackRock, the research center for NYNEX (present day Verizon) and Norkom Technologies. Goodarzi's publications span the fields of data mining , data visualization, optimization , and artificial intelligence.
[masked]:00 P.M. – 8:30 P.M.
Microsoft NYC offices, 1290 Avenue of the Americas, 6th Floor, New York, NY, 10104