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Author: Anne Laurent Publisher: John Wiley & Sons ISBN: 1119720427 Category : Computers Languages : en Pages : 250
Book Description
The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management.
Author: Anne Laurent Publisher: John Wiley & Sons ISBN: 1119720427 Category : Computers Languages : en Pages : 250
Book Description
The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management.
Author: Rui Hou Publisher: Springer Nature ISBN: 3031336143 Category : Computers Languages : en Pages : 363
Book Description
This book constitutes the refereed post-conference proceedings of the 11th and the 12th International Conference on Big Data Technologies and Applications, BDTA 2021 and BDTA 2022, held in December 2021 and 2022. Due to COVID-19 pandemic both conferences were held virtually. The 23 full papers of BDTA 2021 and BDTA 2022 were selected from 61 submissions and present all big data technologies, such as big data collection and storage, big data management and retrieval, big data mining approaches, big data visualization, and new domains and novel applications related to these technologies.
Author: Thomas Davenport Publisher: Harvard Business Press ISBN: 1633693732 Category : Business & Economics Languages : en Pages : 262
Book Description
The New Edition of a Business Classic This landmark work, the first to introduce business leaders to analytics, reveals how analytics are rewriting the rules of competition. Updated with fresh content, Competing on Analytics provides the road map for becoming an analytical competitor, showing readers how to create new strategies for their organizations based on sophisticated analytics. Introducing a five-stage model of analytical competition, Davenport and Harris describe the typical behaviors, capabilities, and challenges of each stage. They explain how to assess your company’s capabilities and guide it toward the highest level of competition. With equal emphasis on two key resources, human and technological, this book reveals how even the most highly analytical companies can up their game. With an emphasis on predictive, prescriptive, and autonomous analytics for marketing, supply chain, finance, M&A, operations, R&D, and HR, the book contains numerous new examples from different industries and business functions, such as Disney’s vacation experience, Google’s HR, UPS’s logistics, the Chicago Cubs’ training methods, and Firewire Surfboards’ customization. Additional new topics and research include: Data scientists and what they do Big data and the changes it has wrought Hadoop and other open-source software for managing and analyzing data Data products—new products and services based on data and analytics Machine learning and other AI technologies The Internet of Things and its implications New computing architectures, including cloud computing Embedding analytics within operational systems Visual analytics The business classic that turned a generation of leaders into analytical competitors, Competing on Analytics is the definitive guide for transforming your company’s fortunes in the age of analytics and big data.
Author: John W. Foreman Publisher: John Wiley & Sons ISBN: 1118839862 Category : Business & Economics Languages : en Pages : 432
Book Description
Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Author: Dafydd ab Hugh Publisher: Simon and Schuster ISBN: 0743421221 Category : Fiction Languages : en Pages : 287
Book Description
When a famous Federation scientist dies, his son puts his inventions up for sale to the highest bidder, be they Federation, Klingon, Romulan, or Cardassian. Among the items at auction is a photon pulse canon capable of punching through a starship's shields with a single shot. Meanwhile, Wesley Crusher is kidnapped from the Academy by renegade Ferengi who have set their sights on the photon canon as well, and Captain Picard must outmaneuver enemies on every side to save Wesley and protect the EnterpriseTM from the deadly fire of the new canon.
Author: Thomasj Sullivant Publisher: Thomasj Sullivant ISBN: 1736417304 Category : Fiction Languages : en Pages : 364
Book Description
When the technology that once saved humanity now seeks to end all life, can its creator destroy her creation before doomsday strikes? Earth, 2076. Artificial intelligence expert Dr. Yvonne Kand has spent decades ignoring her own needs while crafting the tech that would save the world. With her successful AI creation protecting humankind from the devastating rock rain that nearly wiped out the planet, she’s turned her focus into coding the perfect man. But her blueprints for bliss backfire when her ideal android partner betrays her in a shock attempted assassination. Teaming up with her aggravating anti-AI ex-husband, Dr. Kand returns to her black-market suppliers to uncover why her manufactured mate took such a violent turn. But she’s stunned when the twisted truth reveals multiple malevolent personas lurking inside her rogue robot, all with the shared goal of global annihilation. And now the brilliant scientist finds herself in a race against time to prevent humanity’s utter obliteration. Will Dr. Kand’s attempt to unwind her work trigger the ultimate extinction event? Rock Rain is a thrilling standalone sci-fi novel. If you like strong female leads, diverse casts, and explorations of the future, then you’ll love Tory Element and Jim Kukral’s fast-paced tale. Buy Rock Rain to crack the survival code today!
Author: Laurel Sills Publisher: Rebellion Publishing Ltd ISBN: 178618155X Category : Fiction Languages : en Pages : 110
Book Description
Mega-City One, 2101 AD. It’s Psi-Judge Cassandra Anderson’s second year on the streets as a full-Eagle Judge, and something’s taking down Psi-Judges. More and more are turning up in the infirmary with only one phrase in their minds: I am not worthy. Pulled off a hunt for a missing child, Anderson finds herself partnered with seasoned Judge Mei Yin on the trail of the cult behind the madness. But Mei Yin doesn’t do partners. And she’s more closely connected with the case than she’s willing to admit to….
Author: Jenny Dearborn Publisher: John Wiley & Sons ISBN: 1119043123 Category : Business & Economics Languages : en Pages : 260
Book Description
A "how-to" guide to boosting sales through predictive and prescriptive analytics Data Driven is a uniquely practical guide to increasing sales success, using the power of data analytics. Written by one of the world's leading authorities on the topic, this book shows you how to transform the corporate sales function by leveraging big data into better decision-making, more informed strategy, and increased effectiveness throughout the organization. Engaging and informative, this book tells the story of a newly hired sales chief under intense pressure to deliver higher performance from her team, and how data analytics becomes the ultimate driver behind the sales function turnaround. Each chapter features insightful commentary and practical notes on the points the story raises, and one entire chapter is devoted solely to laying out the Prescriptive Action Model step-by-step giving you the actionable guidance you need to put it into action in your own organization. Predictive and prescriptive analytics is poised to change corporate sales, and companies that fail to adapt to the new realities and adopt the new practices will be left behind. This book explains why the Prescriptive Action Model is the key corporate sales weapon of the 21st Century, and how you can implement this dynamic new resource to bring value to your business. Exploit one of the last remaining sources of competitive advantage Re-engineer the sales function to optimize success rates Implement a more effective analytics model to drive efficient change Boost operational effectiveness and decision making with big data There are fewer competitive edges to gain than ever before. The only thing that's left is to execute business with maximum efficiency and make the smartest business decisions possible. Predictive analytics is the essential method behind this new standard, and Data Driven is the practical guide to complete, efficient implementation.
Author: Association for Educational Communications and Technology. Convention Publisher: ISBN: Category : Educational technology Languages : en Pages : 1226
Author: United States. Congress. House. Committee on Education and Labor. Subcommittee on Employment Opportunities Publisher: ISBN: Category : Affirmative action program Languages : en Pages : 130
Author: Anne Laurent
Author: Anne Laurent
Author: Rui Hou
Author: Thomas Davenport
Author: John W. Foreman
Author: Dafydd ab Hugh
Author: Thomasj Sullivant
Author: Laurel Sills
Author: Jenny Dearborn
Author: Association for Educational Communications and Technology. Convention
Author: United States. Congress. House. Committee on Education and Labor. Subcommittee on Employment Opportunities