openPR Logo
Press release

STRATEGY FORTUNE RELEASES BOOK ON BIG DATA ANALYTICS - Book Titled Big Data Analytics Methods Captures Best Practices in Advanced Data Analytics, Predictive Modeling, Data Mining and Machine

04-11-2016 01:25 PM CET | IT, New Media & Software

Press release from: Strategy Fortune.com

Washington, D.C. (April 10, 2016) – The StrategyFortune.com, a global leader in technology strategy today released a new book on data analytics titled Big Data Analytics Methods: Modern Analytics Techniques for the 21st Century. The book is available from Amazon.com at http://www.amazon.com/Big-Data-Analytics-Methods-Techniques/dp/1530414830.

The book includes 10 chapters that cover advanced topics in predictive analytics, Natural Language Processing (NLP), Machine Learning, Deep Learning and Decision Tree methods.

The Big Data Analytics book is the result of more than 15 years of experience in data analytics by Peter Ghavami, Ph.D., a leading international consultant and author of best-selling technology books (www.linkedin.com/in/PeterGhavami).

“There are incredible opportunities for data mining when combine internal and external data and ensemble of models”, said Peter Ghavami, Ph.D., “This book is fun and easy to read. It’s a must read for everyone who is interested in monetizing their corporate data using multiple analytics methods.”

“Big Data Analtyics Methods is an important book because it packs more than 100 analytics techniques and use-cases into one handbook”, remarked Peter Ghavami, Ph.D., “Natural Language Processing and machine learning are going to unlock the information in our data in a big way”.

One of the book reviewers, Jai Oberoi, Head of Data Analytics Enablement at CIGNA commented “I really like the flow of the book as it provides the foundation for what analytics is, what it takes to build an analytical culture, how to different types of analytics towards simplifying a very complex topic. Simply put it demystifies what Big Data is for all to understand and enables everyone to be a part of it.”

The book is written for a broad based of data analytics stake holders: IT leaders, executives and practitioners, CIO, CTO, Chief Data Officers, IT professionals, data analysts and data scientists who want to learn modern analytics methods to analyze their big data assets, create data ingestion pipelines, and develop data analytics solutions with healthcare information.

The book packs years of consulting experience and best practices by the author into a readable and easy to read use-cases and analytics techniques. The book explains challenges with big data analytics, best practices for analyzing structured and unstructured data and offers tips to improving performance of big data analytics models.

About StrategyFortune.com: StrategyFortune.com is a leading provider of management consulting services to executives around the world on data analytics, strategy development, new product innovations and technology development. The company is based in Washington, D.C. For more information visit the company website (http://strategyfortune.com) or send email to contact@strategyfortune.com.

About the Author: Peter Ghavami, Ph.D. is a world renowned consultant and best-selling author of several IT books. He has been consultant and advisor to many Fortune 500 companies in the world for IT strategy, big data analytics, innovation and new technology development. His book titled Clinical Intelligence is one of the best-selling analytics books in healthcare. His recent book on Hadoop data governance titled “Big Data Governance” is adopted by many consulting firms as standard practice. He published his first book titled “Lean, Agile and Six Sigma IT Management” in 2009 which is still widely used by IT professionals around the world. His books have been selected as text books by several universities. Dr. Ghavami has over 25 years of experience in technology development, IT leadership, data analytics, supercomputing, software engineering and innovation. He can be reached at peter.ghavami@northwestu.edu.

Strategy Fortune.com

11629 Cedar Chase Rd.
Herndon, VA, 20170, USA

Press contact: Peter Ghavami

This release was published on openPR.

Permanent link to this press release:

Copy
Please set a link in the press area of your homepage to this press release on openPR. openPR disclaims liability for any content contained in this release.

You can edit or delete your press release STRATEGY FORTUNE RELEASES BOOK ON BIG DATA ANALYTICS - Book Titled Big Data Analytics Methods Captures Best Practices in Advanced Data Analytics, Predictive Modeling, Data Mining and Machine here

News-ID: 331355 • Views:

More Releases for Data

HOW TO TRANSFORM BIG DATA TO SMART DATA USING DATA ENGINEERING?
We are at the cross-roads of a universe that is composed of actors, entities and use-cases; along with the associated data relationships across zillions of business scenarios. Organizations must derive the most out of data, and modern AI platforms can help businesses in this direction. These help ideally turn Big Data into plug-and-play pieces of information that are being widely known as Smart Data. Specialized components backed up by AI and
Global Data Analytics Outsourcing Market |data analytics outsourcing, big data o …
Market Research Reports Search Engine (MRRSE) has been serving as an active source to cater intelligent research report to enlighten both readers and investors. This research study titled “Global Data Analytics Outsourcing Market “ The report on data analytics outsourcing market provides analysis for the period 2016 – 2026, wherein 2018 to 2026 is the forecast period and 2017 is the base year. The report covers major trends and technologies playing
Test Data Management (TDM) Market - test data profiling, test data planning, tes …
The report categorizes the global Test Data Management (TDM) market by top players/brands, region, type, end user, market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities and challenges, sales channels and distributors. This report studies the global market size of Test Data Management (TDM) in key regions like North America, Europe, Asia Pacific, Central & South America and Middle East & Africa, focuses on the consumption
Data Prep Market Report 2018: Segmentation by Platform (Self-Service Data Prep, …
Global Data Prep market research report provides company profile for Alteryx, Inc. (U.S.), Informatica (U.S.), International Business Corporation (U.S.), TIBCO Software, Inc. (U.S.), Microsoft Corporation (U.S.), SAS Institute (U.S.), Datawatch Corporation (U.S.), Tableau Software, Inc. (U.S.) and Others. This market study includes data about consumer perspective, comprehensive analysis, statistics, market share, company performances (Stocks), historical analysis 2012 to 2017, market forecast 2018 to 2025 in terms of volume, revenue, YOY
Long Term Data Retention Solutions Market - The Increasing Demand For Big Data W …
Data retention is a technique to store the database of the organization for the future. An organization may retain data for several different reasons. One of the reasons is to act in accordance with state and federal regulations, i.e. information that may be considered old or irrelevant for internal use may need to be retained to comply with the laws of a particular jurisdiction or industry. Another reason is to
Data Quality and Data Governance Solution Market - Demand For Cost-Effective Dat …
In the enterprise data management ecosystem, data quality is a broad term which refers to the quality, integrity, and consistency of data and/or process etc. Data quality also implies the degree of data accuracy and consistency. On the other hand, data governance focusses on the management of data assets by assigning authority, control, and responsibility of data and encompasses three key areas: people, process, and technology. Data quality and data governance