Big Data And Analytics A Complete Guide - 2019 Edition PDF Download
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Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655810834
Category :
Languages : en
Pages : 306
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Book Description
When a Big Data and Analytics manager recognizes a problem, what options are available? Do you all define Big Data and Analytics in the same way? What are the business goals Big Data and Analytics is aiming to achieve? Who approved the Big Data and Analytics scope? What were the criteria for evaluating a Big Data and Analytics pilot? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Big Data And Analytics investments work better. This Big Data And Analytics All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Big Data And Analytics Self-Assessment. Featuring 935 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Big Data And Analytics improvements can be made. In using the questions you will be better able to: - diagnose Big Data And Analytics projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Big Data And Analytics and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Big Data And Analytics Scorecard, you will develop a clear picture of which Big Data And Analytics areas need attention. Your purchase includes access details to the Big Data And Analytics self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Big Data And Analytics Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655517214
Category :
Languages : en
Pages : 366
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Book Description
Hash tables for term management? How does that compare to other science disciplines? What new Security and Privacy challenges arise from new Big Data solutions and how do you manage those? How will systems and methods evolve to remove Big Data solution weaknesses? How are organizations using analytics to gain insight and guide action? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Big Data investments work better. This Big Data All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Big Data Self-Assessment. Featuring 1339 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Big Data improvements can be made. In using the questions you will be better able to: - diagnose Big Data projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Big Data and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Big Data Scorecard, you will develop a clear picture of which Big Data areas need attention. Your purchase includes access details to the Big Data self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Big Data Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655810834
Category :
Languages : en
Pages : 306
Get Book Here
Book Description
When a Big Data and Analytics manager recognizes a problem, what options are available? Do you all define Big Data and Analytics in the same way? What are the business goals Big Data and Analytics is aiming to achieve? Who approved the Big Data and Analytics scope? What were the criteria for evaluating a Big Data and Analytics pilot? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Big Data And Analytics investments work better. This Big Data And Analytics All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Big Data And Analytics Self-Assessment. Featuring 935 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Big Data And Analytics improvements can be made. In using the questions you will be better able to: - diagnose Big Data And Analytics projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Big Data And Analytics and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Big Data And Analytics Scorecard, you will develop a clear picture of which Big Data And Analytics areas need attention. Your purchase includes access details to the Big Data And Analytics self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Big Data And Analytics Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: S. Srinivasan
Publisher: Springer
ISBN: 3319538179
Category : Technology & Engineering
Languages : en
Pages : 567
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Book Description
This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655840411
Category :
Languages : en
Pages : 296
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Book Description
Are you able to realize any cost savings? What tools and technologies are needed for a custom cloud and big data project? How can you measure cloud and big data in a systematic way? How do senior leaders deploy your organizations vision and values through your leadership system, to the workforce, to key suppliers and partners, and to customers and other stakeholders, as appropriate? What went well, what should change, what can improve? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Cloud And Big Data investments work better. This Cloud And Big Data All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Cloud And Big Data Self-Assessment. Featuring 900 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Cloud And Big Data improvements can be made. In using the questions you will be better able to: - diagnose Cloud And Big Data projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Cloud And Big Data and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Cloud And Big Data Scorecard, you will develop a clear picture of which Cloud And Big Data areas need attention. Your purchase includes access details to the Cloud And Big Data self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Cloud And Big Data Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: Victor Finch
Publisher: Createspace Independent Publishing Platform
ISBN: 9781973957669
Category :
Languages : en
Pages : 130
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Book Description
Big Data For Business Your Comprehensive Guide To Understand Data Science, Data Analytics and Data Mining To Boost More Growth and Improve Business. Is Big Data worth it? Does it work for me or my business? How can Big Data (with Analytics) help spur my next business growth? Do you know that last two years accounts for 90 percent of the data in the world? Data whispers stories. Only if you listen carefully, process it, analyze it and act on it, to move towards your next revolution. Many individuals' life and businesses have been transformed by Big Data and in fact you are already part of the Big Data if you are into social media. (Look out for this very interesting link that you really need to see it for yourself. It will widen your horizon.) In this book, you will have gain tremendous insights, understanding and basics of Big Data and how it can helps to identify new growth areas and product opportunities, streamline their costs, increase their operating margins and above all; make better human resource decisions using efficient budgets. The future belongs to only those who embrace Big Data. Take your first step now. What you will learn in Big Data For Business: Your Comprehensive Guide To Understand Data Science, Data Analytics and Data Mining To Boost More Growth and Improve Business. You will learn all about Big Data and the challenges You will learn when to use Descriptive or Predictive Analytics You will discover what are the popular tools that Data scientists are using now You will learn the various algorithms used in Big Data You will what is Big Data and NoSQL Technologies You will explore the different social examples and business applications of Big Data And many more.. This Big Data For Business: Your Comprehensive Guide To Understand Data Science, Data Analytics and Data Mining To Boost More Growth and Improve Business. is your must have guide to explore and learn about the impact of Big Data For Business, and understand how you can starts forming ideas on how you can use it for your next business growth. The Bottom Line: What are you waiting for? Start today by making the smartest investment you could possibly make. An investment in yourself, your knowledge and your business growth. Don't hesitate to pick up your copy today by clicking the BUY NOW button at the top of this page!
Author: Kim H. Pries
Publisher: Auerbach Publications
ISBN: 9781032340197
Category :
Languages : en
Pages : 0
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Book Description
This book provides managers and decision-makers with the tools to make more informed decisions about big data purchasing initiatives. It not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market. Comparing and contrasting the different types of analysis commonly conducted wi
Author: James Warren
Publisher: Simon and Schuster
ISBN: 1638351104
Category : Computers
Languages : en
Pages : 481
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Book Description
Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655807230
Category :
Languages : en
Pages : 308
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Book Description
What new security and privacy challenges arise from new big data solutions and how do you manage them? What new definitions are needed to describe elements of new Big Data solutions? What are the new developments that are included in Big Data solutions? What new security and privacy challenges arise from new big data solutions? What are your interesting cases of applying big data solutions to the smart grid domain? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Big Data Solutions investments work better. This Big Data Solutions All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Big Data Solutions Self-Assessment. Featuring 957 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Big Data Solutions improvements can be made. In using the questions you will be better able to: - diagnose Big Data Solutions projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Big Data Solutions and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Big Data Solutions Scorecard, you will develop a clear picture of which Big Data Solutions areas need attention. Your purchase includes access details to the Big Data Solutions self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Big Data Solutions Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author: Butch Quinto
Publisher: Apress
ISBN: 1484231473
Category : Computers
Languages : en
Pages : 572
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Book Description
Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. Finally, the book has an extensive and detailed coverage of big data case studies from Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard. What You’ll Learn Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical advice Integrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and Spark Use StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processing Utilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processing Turbocharge Spark with Alluxio, a distributed in-memory storage platform Deploy big data in the cloud using Cloudera Director Perform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and Spark Understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasks Implement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modeling Study real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard Who This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics
Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1118892747
Category : Business & Economics
Languages : en
Pages : 262
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Book Description
The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
