[Read.ajjq] What Every Manager Should Know About Big Data and Data Science
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Book Details :
Published on: 2016-03-07
Released on:
Original language: English
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. As shown in WHAT EVERY MANAGER SHOULD KNOW ABOUT BIG DATA AND DATA SCIENCE, integrating data scientists (and the general practice of Data Science) with the organization is often a delicate process involving the redefinition of traditional roles within the enterprise as well as 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. CONTENTS: Preface The Vital Triangle What Is Big Data Creativity and Intuition Making Something Out of Nothing Introducing Data Science to the Enterprise Avoiding Friction Between Old New: Dealing with the TCQ Triangle The Evolving Role of the Data Scientist Data Science Ethics and Privacy Concerns The Art of Seeing Things Data Management Artificial Intelligence, Machine-Learning, and Deep-Learning in Data Science Data Curation and the Tribal Knowledge Problem Data Cleaning Data Modeling for Unstructured Data Predictive Analysis A Bit More On Data Visualization Cassandra Hadoop Orchestrating Change in the Workplace Data Science vs. Big Data vs. Data Analytics: Comparison ... Data Science vs. Big Data vs. Data Analytics article 20 Most Popular Data Science Interview Questions article Edvancer Eduventures - Analytics & Big Data Training Courses Range of online big data analytics training courses for all levels designed and taught by industry experts. Learn SAS R Hadoop big data data science... 12 Excel Formulas Every Architect Should Know ArchDaily Whats the best way to learn Excel formulas? Im a big believer in learning by doing. Take a spreadsheet youve created and see how you can make it better with ... The free GRC tools every compliance professional should ... These regulations include those coming out of the Payment Card Industry Data Security Standard (PCI DSS) the National Institute of Standards and Technology (NIST ... Big data - Wikipedia Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include ... Access Big Data and Analytics Certification Trainings with ... Enroll for Big Data and Analytics certification trainings through Simplilearn.com. Get access to our Big Data and Analytics practice tests and webinars to help you ... Data data everywhere The Economist Alex Szalay an astrophysicist at Johns Hopkins University notes that the proliferation of data is making them increasingly inaccessible. How to make ... Big Data Hadoop Training - Hadoop Certification Course ... Big Data Hadoop Training & Certification online Clear CCA175 & CCAH exams 9 Real life Big Data projects Led by industry experts Job Assistance. Enroll ! Analytics Business Intelligence and Data Management SAS SAS is the leader in analytics. Through innovative analytics BI and data management software and services SAS helps turn your data into better decisions. 8 Big Data Conferences You Should Know About ... What are the big Big Data conferences that are happening this year? Here's a list of the best ones for your calendar even if you can only make it to one or two.
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