Lars Nielsen has 4 audiobooks on Listento.it, narrated by 4 narrators. The most-rated is A Simple Introduction to Data Science.
Dark Data & Dark Social
Summary
Simply put, Dark Data is stored, largely non-inventoried, unstructured data not currently used for the purpose of conducting data science, but which is nevertheless maintained on a "just in case" basis - either to meet regulatory requirements, or in the hope that the data will prove useful for research purposes at some time in the future. "Gathering dust" in archives, Dark Data, is - as less simply put by CIO and industry pundit Isaac Sacolick - "data and content that exists and is stored, but is not leveraged and analyzed for intelligence or used in forward looking decisions. It includes data that is in physical locations or formats that make analysis complex or too costly, or data that has significant data quality issues. It also includes data that is currently stored and can be connected to other data sources for analysis, but the business has not dedicated sufficient resources to analyze and leverage." Add to this unstructured data of a nature for which sufficiently robust or accurate analysis tools have not yet been invented, and some data (notably most log files) which will simply never be of use and will never yield useful Business Intelligence, commonly known as BI. In Dark Data & Dark Social, Lars Nielsen explores then nature of Dark Data, how to go about discerning genuinely useful Dark Data amid the large balance of useless data debris with which most enterprises are swamped, how to build a data science team to accomplish this task and leverage Dark Data to its utmost potential, how to safely and irrevocably dispose of unusable data debris, and also how to exploit some of the darkest of dark data: "Dark Social" the hard-to-track but incredibly valuable real-time data pegged to largely-anonymous second party referrals to web sites (as opposed to direct click-throughs). Throughout the book, Nielsen provides information in a user-friendly, jargon-free manner which assumes little technical background.
©2014 New Street Communications, LLC (P)2014 New Street Communications, LLC
What Every Manager Should Know About Big Data and Data Science
Summary
The need for precise, actionable, real-time Business Intelligence (BI) lies at the heart of the role of Big Data in modern commerce. In turn, the art of Data Science lies at the nexus of Big Data and BI, providing the essential methods by which BI can be extracted from Big Data's great black mass of constantly flowing, unstructured information. This combination has a created a new profession: an elite and specialized class of highly-compensated professionals specially skilled at data cleaning, analysis, and visualization. We call them Data Scientists, and their evolving role in the organization is one about which managers must have a clear understanding. Integrating Data Scientists with your organization is often a delicate process involving the redefinition of traditional roles within the enterprise and dealing with issues of territoriality amongst peers. To accomplish this task, managers need a firm knowledge of the what and whys of Data Science, the specific BI needs it is uniquely positioned to service, and the processes by which it functions. Such is the knowledge this important book provides.
©2016 New Street Communications, LLC (P)2016 New Street Communications, LLC
Computing: A Business History
Summary
Noted systems developer, Lars Nielsen reveals the dynamic combination of innovation, competition and, often eccentric, entrepreneurship that went to shape today's tech landscape. From the military's ENIAC of 1946 to the ripening of the Web and e-commerce, Nielsen's Computing: A Business History details the evolution of computing as it has impacted the models and practices of markets and professional services around the globe. Nielsen explains not only the development of technologies, but the ongoing saga of strategic rivalries between such tech firms as IBM, Cisco, Apple, Microsoft, Google, and Facebook. He surveys the rise and fall of companies and platforms from the early days of the mainframe when the likes of Sperry Rand and DEC laid unsuccessful siege to IBM's market-share, through the era of Windows vs. Mac and beyond. And he vividly depicts? the brilliant, but often rapacious, personalities behind the competition that shaped the business computing environment we know today.
©2012 New Street Communications, LLC (P)2013 New Street Communications, LLC
A Simple Introduction to Data Science
Summary
Lars Nielsen and Noreen Burlingame provide a brief, understandable, user-friendly guide to all aspects of Data Science. The authors address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field. Contents: Data Science Summarized * What is Big Data * Hadoop * Data Management * Data Cleaning * Data Modeling for Unstructured Data * Predictive Analysis * Creativity and Intuition (or Posing the Right Question, at the Right Time, for the Right Data) * Data Visualization (or Telling the Story) * Cassandra * Academic Programs
©2012 New Street Communications, LLC (P)2014 New Street Communications, LLC