Big Data Platform As A Service A Complete Guide - 2020 Edition PDF Download

Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655976547
Category :
Languages : en
Pages : 0

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Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655926542
Category :
Languages : en
Pages : 308

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Book Description
Are there recognized big data platform as a service problems? Consider your own big data platform as a service project, what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far? What big data platform as a service modifications can you make work for you? Are the big data platform as a service requirements testable? Are you missing big data platform as a service opportunities? This exclusive Big Data Platform As A Service self-assessment will make you the entrusted Big Data Platform As A Service domain visionary by revealing just what you need to know to be fluent and ready for any Big Data Platform As A Service challenge. How do I reduce the effort in the Big Data Platform As A Service work to be done to get problems solved? How can I ensure that plans of action include every Big Data Platform As A Service task and that every Big Data Platform As A Service outcome is in place? How will I save time investigating strategic and tactical options and ensuring Big Data Platform As A Service costs are low? How can I deliver tailored Big Data Platform As A Service advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Big Data Platform As A Service essentials are covered, from every angle: the Big Data Platform As A Service self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Big Data Platform As A Service outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Big Data Platform As A Service practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Big Data Platform As A Service are maximized with professional results. Your purchase includes access details to the Big Data Platform As A Service self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. 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 Platform As A Service 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: 9780655925019
Category :
Languages : en
Pages : 304

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What is the relationship between big data and the cloud? Where do you need to secure the data? What is wrong with relying on the cloud? How to guarantee trust from cloud data sources? How do you predict, detect, and correct errors in data before it is too late? This breakthrough Data Platform As A Service self-assessment will make you the entrusted Data Platform As A Service domain auditor by revealing just what you need to know to be fluent and ready for any Data Platform As A Service challenge. How do I reduce the effort in the Data Platform As A Service work to be done to get problems solved? How can I ensure that plans of action include every Data Platform As A Service task and that every Data Platform As A Service outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Platform As A Service costs are low? How can I deliver tailored Data Platform As A Service advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Platform As A Service essentials are covered, from every angle: the Data Platform As A Service self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Platform As A Service outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Platform As A Service practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Platform As A Service are maximized with professional results. Your purchase includes access details to the Data Platform As A Service self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. 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 Data Platform As A Service 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:
ISBN: 9780655975014
Category :
Languages : en
Pages : 0

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Author: Yusuf Aytas
Publisher: John Wiley & Sons
ISBN: 1119690927
Category : Mathematics
Languages : en
Pages : 338

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Book Description
DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems Highlights and explains how data is processed at scale Includes an introduction to the foundation of a modern data platform Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.

Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9781867343943
Category :
Languages : en
Pages : 310

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Book Description
How valid is your approximation? How do you re-compute big data analytics in case of code changes? How successful has big data management been in terms of supporting business goals? What tools or apps do people use to connect? Does your storage need modernizing? This one-of-a-kind Big Data Software self-assessment will make you the credible Big Data Software domain leader by revealing just what you need to know to be fluent and ready for any Big Data Software challenge. How do I reduce the effort in the Big Data Software work to be done to get problems solved? How can I ensure that plans of action include every Big Data Software task and that every Big Data Software outcome is in place? How will I save time investigating strategic and tactical options and ensuring Big Data Software costs are low? How can I deliver tailored Big Data Software advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Big Data Software essentials are covered, from every angle: the Big Data Software self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Big Data Software outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Big Data Software practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Big Data Software are maximized with professional results. Your purchase includes access details to the Big Data Software self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. 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 Software 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: Anouar BEN ZAHRA
Publisher: Anouar BEN ZAHRA
ISBN:
Category : Computers
Languages : en
Pages : 339

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Book Description
"Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud" comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects.

Author: Murari Ramuka
Publisher: BPB Publications
ISBN: 9389423635
Category : Computers
Languages : en
Pages : 277

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Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services DESCRIPTION Modern businesses are awash with data, making data-driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with enough knowledge of Cloud Computing in conjunction with Google Cloud Data platform to succeed in the role of a Cloud data expert. The current market is trending towards the latest cloud technologies, which is the need of the hour. Google being the pioneer, is dominating this space with the right set of cloud services being offered as part of GCP (Google Cloud Platform). At this juncture, this book will be very vital and will cover all the services that are being offered by GCP, putting emphasis on Data services. This book starts with sophisticated knowledge on Cloud Computing. It also explains different types of data services/technology and machine learning algorithm/Pre-Trained API through real-business problems, which are built on the Google Cloud Platform (GCP). With some of the latest business examples and hands-on guide, this book will enable the developers entering the data analytics fields to implement an end-to-end data pipeline, using GCP Data services. Through the course of the book, you will come across multiple industry-wise use cases, like Building Datawarehouse using Big Query, a sample real-time data analytics solution on machine learning and Artificial Intelligence that helped with the business decision, by employing a variety of data science approaches on Google Cloud environment. Whether yourÊbusinessÊis at the early stage of cloud implementation in its journey or well on its way to digital transformation,ÊGoogle Cloud'sÊsolutions and technologies will always help chart a path to success. This book can be used to develop the GCP concepts in an easy way. It contains many examples showcasing the implementation of a GCP service. It enables the learning of the basic and advance concepts of Google Cloud Data Platform. This book is divided into 7 chapters and provides a detailed description of the core concepts of each of the Data services offered by Google Cloud. KEY FEATURES Learn the basic concept of Cloud Computing along with different Cloud service provides with their supported Models (IaaS/PaaS/SaaS) Learn the basics of Compute Engine, App Engine, Container Engine, Project and Billing setup in the Google Cloud Platform Learn how and when to use Cloud DataFlow, Cloud DataProc and Cloud DataPrepÊ Build real-time data pipeline to support real-time analytics using Pub/Sub messaging service Setting up a fully managed GCP Big Data Cluster using Cloud DataProc for runningÊApache SparkÊandÊApache HadoopÊclusters in a simpler, more cost-efficient manner Learn how to use Cloud Data Studio for visualizing the data on top of Big Query Implement and understand real-world business scenarios for Machine Learning, Data Pipeline Engineering WHAT WILL YOU LEARN By the end of the book, you will have come across different data services and platforms offered by Google Cloud, and how those services/features can be enabled to serve business needs. You will also see a few case studies to put your knowledge to practice and solve business problems such as building a real-time streaming pipeline engine, Scalable Data Warehouse on Cloud, fully managed Hadoop cluster on Cloud and enabling TensorFlow/Machine Learning APIÕs to support real-life business problems. Remember to practice additional examples to master these techniques. WHO IS THIS BOOK FOR This book is for professionals as well as graduates who want to build a career in Google Cloud data analytics technologies. While no prior knowledge of Cloud Computing or related technologies is assumed, it will be helpful to have some data background and experience. One stop shop for those who wish to get an initial to advance understanding of the GCP data platform. The target audience will be data engineers/professionals who are new, as well as those who are acquainted with the tools and techniques related to cloud and data space.ÊÊ _Ê Ê Ê Individuals who have basic data understanding (i.e. Data and cloud) and have done some work in the field ofÊ data analytics, can refer/use this book to master their knowledge/understanding. _Ê Ê Ê The highlight of this book is that it will start with theÊ basic cloud computing fundamentals and will move on to cover the advance concepts on GCP cloud data analytics and hence can be referred across multiple different levels of audiences.Ê Table of Contents 1. GCP Overview and Architecture 2. Data Storage in GCPÊ 3. Data Processing in GCP with Pub/Sub and DataflowÊ 4. Data Processing in GCP with DataPrep and Dataflow 5. Big Query and Data Studio 6. Machine Learning with GCP 7. Sample Use cases and Examples

Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655978060
Category : Electronic books
Languages : en
Pages : 0

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Big Data Software A Complete Guide - 2020 Edition.

Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655969273
Category :
Languages : en
Pages : 0

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