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Author: Gerardus Blokdyk Publisher: 5starcooks ISBN: 9780655534549 Category : Languages : en Pages : 280
Book Description
What are specific Big Data Agile rules to follow? How do you go about comparing Big Data Agile approaches/solutions? Do you have past Big Data Agile successes? Will Big Data Agile have an impact on current business continuity, disaster recovery processes and/or infrastructure? Does the Big Data Agile performance meet the customer's requirements? 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 Agile investments work better. This Big Data Agile All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Big Data Agile Self-Assessment. Featuring 673 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 Agile improvements can be made. In using the questions you will be better able to: - diagnose Big Data Agile 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 Agile and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Big Data Agile Scorecard, you will develop a clear picture of which Big Data Agile areas need attention. Your purchase includes access details to the Big Data Agile 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 Agile 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: 9780655534549 Category : Languages : en Pages : 280
Book Description
What are specific Big Data Agile rules to follow? How do you go about comparing Big Data Agile approaches/solutions? Do you have past Big Data Agile successes? Will Big Data Agile have an impact on current business continuity, disaster recovery processes and/or infrastructure? Does the Big Data Agile performance meet the customer's requirements? 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 Agile investments work better. This Big Data Agile All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Big Data Agile Self-Assessment. Featuring 673 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 Agile improvements can be made. In using the questions you will be better able to: - diagnose Big Data Agile 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 Agile and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Big Data Agile Scorecard, you will develop a clear picture of which Big Data Agile areas need attention. Your purchase includes access details to the Big Data Agile 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 Agile 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: James Shore Publisher: "O'Reilly Media, Inc." ISBN: 0596527675 Category : Computers Languages : en Pages : 436
Book Description
For those considering Extreme Programming, this book provides no-nonsense advice on agile planning, development, delivery, and management taken from the authors' many years of experience. While plenty of books address the what and why of agile development, very few offer the information users can apply directly.
Author: Gerardus Blokdyk Publisher: Createspace Independent Publishing Platform ISBN: 9781717296580 Category : Languages : en Pages : 140
Book Description
Whats the best design framework for Agile Business Intelligence organization now that, in a post industrial-age if the top-down, command and control model is no longer relevant? Where do ideas that reach policy makers and planners as proposals for Agile Business Intelligence strengthening and reform actually originate? ask yourself: are the records needed as inputs to the Agile Business Intelligence process available? What situation(s) led to this Agile Business Intelligence Self Assessment? What management system can we use to leverage the Agile Business Intelligence experience, ideas, and concerns of the people closest to the work to be done? 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 Agile Business Intelligence investments work better. This Agile Business Intelligence All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Agile Business Intelligence Self-Assessment. Featuring 691 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Agile Business Intelligence improvements can be made. In using the questions you will be better able to: - diagnose Agile Business Intelligence 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 Agile Business Intelligence and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Agile Business Intelligence Scorecard, you will develop a clear picture of which Agile Business Intelligence areas need attention. Your purchase includes access details to the Agile Business Intelligence self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author: Bhuvan Unhelkar Publisher: CRC Press ISBN: 1351646540 Category : Business & Economics Languages : en Pages : 492
Book Description
Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a strategic approach to Big Data that will render a business Agile. It discusses the important competencies required to streamline and focus on the analytics and presents a roadmap for implementing such analytics in business.
Author: Russell Jurney Publisher: "O'Reilly Media, Inc." ISBN: 149196006X Category : Computers Languages : en Pages : 310
Book Description
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools. Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization. Build value from your data in a series of agile sprints, using the data-value pyramid Extract features for statistical models from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future via classification and regression Translate predictions into actions Get feedback from users after each sprint to keep your project on track
Author: Phil Simon Publisher: John Wiley & Sons ISBN: 1119424208 Category : Business & Economics Languages : en Pages : 304
Book Description
For years, organizations have struggled to make sense out of their data. IT projects designed to provide employees with dashboards, KPIs, and business-intelligence tools often take a year or more to reach the finish line...if they get there at all. This has always been a problem. Today, though, it's downright unacceptable. The world changes faster than ever. Speed has never been more important. By adhering to antiquated methods, firms lose the ability to see nascent trends—and act upon them until it's too late. But what if the process of turning raw data into meaningful insights didn't have to be so painful, time-consuming, and frustrating? What if there were a better way to do analytics? Fortunately, you're in luck... Analytics: The Agile Way is the eighth book from award-winning author and Arizona State University professor Phil Simon. Analytics: The Agile Way demonstrates how progressive organizations such as Google, Nextdoor, and others approach analytics in a fundamentally different way. They are applying the same Agile techniques that software developers have employed for years. They have replaced large batches in favor of smaller ones...and their results will astonish you. Through a series of case studies and examples, Analytics: The Agile Way demonstrates the benefits of this new analytics mind-set: superior access to information, quicker insights, and the ability to spot trends far ahead of your competitors.
Author: Esther Derby Publisher: Pragmatic Bookshelf ISBN: 1680503103 Category : Computers Languages : en Pages : 216
Book Description
Project retrospectives help teams examine what went right and what went wrong on a project. But traditionally, retrospectives (also known as “post-mortems”) are only held at the end of the project—too late to help. You need agile retrospectives that are iterative and incremental. You need to accurately find and fix problems to help the team today. Now Esther and Diana show you the tools, tricks and tips you need to fix the problems you face on a software development project on an on-going basis. You’ll see how to architect retrospectives in general, how to design them specifically for your team and organization, how to run them effectively, how to make the needed changes and how to scale these techniques up. You’ll learn how to deal with problems, and implement solutions effectively throughout the project—not just at the end. This book will help you: Design and run effective retrospectives Learn how to find and fix problems Find and reinforce team strengths Address people issues as well as technological Use tools and recipes proven in the real world With regular tune-ups, your team will hum like a precise, world-class orchestra.
Author: Ken Collier Publisher: Addison-Wesley ISBN: 032150481X Category : Business & Economics Languages : en Pages : 368
Book Description
Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Collier's techniques offer optimal value whether your projects involve "back-end" data management, "front-end" business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way.
Author: Phil Simon Publisher: John Wiley & Sons ISBN: 1119423473 Category : Business & Economics Languages : en Pages : 304
Book Description
For years, organizations have struggled to make sense out of their data. IT projects designed to provide employees with dashboards, KPIs, and business-intelligence tools often take a year or more to reach the finish line...if they get there at all. This has always been a problem. Today, though, it's downright unacceptable. The world changes faster than ever. Speed has never been more important. By adhering to antiquated methods, firms lose the ability to see nascent trends—and act upon them until it's too late. But what if the process of turning raw data into meaningful insights didn't have to be so painful, time-consuming, and frustrating? What if there were a better way to do analytics? Fortunately, you're in luck... Analytics: The Agile Way is the eighth book from award-winning author and Arizona State University professor Phil Simon. Analytics: The Agile Way demonstrates how progressive organizations such as Google, Nextdoor, and others approach analytics in a fundamentally different way. They are applying the same Agile techniques that software developers have employed for years. They have replaced large batches in favor of smaller ones...and their results will astonish you. Through a series of case studies and examples, Analytics: The Agile Way demonstrates the benefits of this new analytics mind-set: superior access to information, quicker insights, and the ability to spot trends far ahead of your competitors.
Author: Gerardus Blokdyk
Author: Gerardus Blokdyk
Author: James Shore
Author: Gerardus Blokdyk
Author: Gerardus Blokdyk
Author: Bhuvan Unhelkar
Author: Russell Jurney
Author: Phil Simon
Author: Esther Derby
Author: Ken Collier
Author: Phil Simon