Exam Ref 70-767 Implementing a SQL Data Warehouse
Prepare for Microsoft Exam 70-767 - and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Transform, Load (ETL) data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master Data Services (MDS) model, using MDS tools, and creating a Master Data Manager database and web application. The reader should understand how to design and implement ETL control flow elements and work with a SQL Service Integration Services package. Focus on the expertise measured by these objectives: Design, and implement, and maintain a data warehouse; Extract, transform, and load data; Build data quality solutions. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have working kno ...
Prepare for Microsoft Exam 70-767 - and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Transform, Load (ETL) data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master Data Services (MDS) model, using MDS tools, and creating a Master Data Manager database and web application. The reader should understand how to design and implement ETL control flow elements and work with a SQL Service Integration Services package. Focus on the expertise measured by these objectives: Design, and implement, and maintain a data warehouse; Extract, transform, and load data; Build data quality solutions. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have working kno ...
Exam Ref 70-535 Architecting Microsoft Azure Solutions
Prepare for Microsoft Exam 70-535 - and help demonstrate your real-world mastery of architecting complete cloud solutions on the Microsoft Azure platform. Designed for architects and other cloud professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Design compute infrastructure; Design data implementation; Design networking implementation; Design security and identity solutions; Design solutions by using platform services; Design for operations. This Microsoft Exam Ref: Organizes its coverage by exam skills; Features strategic, what-if scenarios to challenge you; Includes DevOps and hybrid technologies and scenarios; Assumes you have experience building infrastructure and applications on the Microsoft Azure platform, and understand the services it offers. ...
Prepare for Microsoft Exam 70-535 - and help demonstrate your real-world mastery of architecting complete cloud solutions on the Microsoft Azure platform. Designed for architects and other cloud professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Design compute infrastructure; Design data implementation; Design networking implementation; Design security and identity solutions; Design solutions by using platform services; Design for operations. This Microsoft Exam Ref: Organizes its coverage by exam skills; Features strategic, what-if scenarios to challenge you; Includes DevOps and hybrid technologies and scenarios; Assumes you have experience building infrastructure and applications on the Microsoft Azure platform, and understand the services it offers. ...
Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel
Prepare for Microsoft Exam 70-779 - and help demonstrate your real-world mastery of Microsoft Excel data analysis and visualization. Designed for BI professionals, data analysts, and others who analyze business data with Excel, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Microsoft Excel; Model data, from building and optimizing data models through creating performance KPIs, actual and target calculations, and hierarchies; Visualize data, including creating and managing PivotTables and PivotCharts, and interacting with PowerBI. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have a strong understanding of how to use Microsoft Excel to perform data analysis. ...
Prepare for Microsoft Exam 70-779 - and help demonstrate your real-world mastery of Microsoft Excel data analysis and visualization. Designed for BI professionals, data analysts, and others who analyze business data with Excel, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Microsoft Excel; Model data, from building and optimizing data models through creating performance KPIs, actual and target calculations, and hierarchies; Visualize data, including creating and managing PivotTables and PivotCharts, and interacting with PowerBI. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have a strong understanding of how to use Microsoft Excel to perform data analysis. ...
Microsoft Azure Security Center
This book presents comprehensive Azure Security Center techniques for safeguarding cloud and hybrid environments. Leading Microsoft security and cloud experts Yuri Diogenes and Dr. Thomas Shinder show how to apply Azure Security Center's full spectrum of features and capabilities to address protection, detection, and response in key operational scenarios. You'll learn how to secure any Azure workload, and optimize virtually all facets of modern security, from policies and identity to incident response and risk management. Whatever your role in Azure security, you'll learn how to save hours, days, or even weeks by solving problems in most efficient, reliable ways possible. Two of Microsoft's leading cloud security experts show how to: Assess the impact of cloud and hybrid environments on security, compliance, operations, data protection, and risk management; Master a new security paradigm for a world without traditional perimeters; Gain visibility and control to secure compute, netwo ...
This book presents comprehensive Azure Security Center techniques for safeguarding cloud and hybrid environments. Leading Microsoft security and cloud experts Yuri Diogenes and Dr. Thomas Shinder show how to apply Azure Security Center's full spectrum of features and capabilities to address protection, detection, and response in key operational scenarios. You'll learn how to secure any Azure workload, and optimize virtually all facets of modern security, from policies and identity to incident response and risk management. Whatever your role in Azure security, you'll learn how to save hours, days, or even weeks by solving problems in most efficient, reliable ways possible. Two of Microsoft's leading cloud security experts show how to: Assess the impact of cloud and hybrid environments on security, compliance, operations, data protection, and risk management; Master a new security paradigm for a world without traditional perimeters; Gain visibility and control to secure compute, netwo ...
Programming Microsoft Azure Service Fabric, 2nd Edition
This book combines a comprehensive guide to success with Microsoft Azure Service Fabric and a practical catalog of design patterns and best practices for microservices design, implementation, and operation. Haishi Bai brings together all the information you'll need to deliver scalable and reliable distributed microservices applications on Service Fabric. He thoroughly covers the crucial DevOps aspects of utilizing Service Fabric, reviews its interactions with key cloud-based services, and introduces essential service integration mechanisms such as messaging systems and reactive systems. Leading Microsoft Azure expert Haishi Bai shows how to: Set up your Service Fabric development environment; Program and deploy Service Fabric applications to a local or a cloud-based cluster; Compare and use stateful services, stateless services, and the actor model; Design Service Fabric applications to maximize availability, reliability, and scalability; Improve management efficiency via scripting ...
This book combines a comprehensive guide to success with Microsoft Azure Service Fabric and a practical catalog of design patterns and best practices for microservices design, implementation, and operation. Haishi Bai brings together all the information you'll need to deliver scalable and reliable distributed microservices applications on Service Fabric. He thoroughly covers the crucial DevOps aspects of utilizing Service Fabric, reviews its interactions with key cloud-based services, and introduces essential service integration mechanisms such as messaging systems and reactive systems. Leading Microsoft Azure expert Haishi Bai shows how to: Set up your Service Fabric development environment; Program and deploy Service Fabric applications to a local or a cloud-based cluster; Compare and use stateful services, stateless services, and the actor model; Design Service Fabric applications to maximize availability, reliability, and scalability; Improve management efficiency via scripting ...
OpenShift in Action
Containers let you package everything into one neat place, and with Red Hat OpenShift you can build, deploy, and run those packages all in one place! Combining Docker and Kubernetes, OpenShift is a powerful platform for cluster management, scaling, and upgrading your enterprise apps. OpenShift in Action is a full reference to Red Hat OpenShift that breaks down this robust container platform so you can use it day-to-day. Starting with how to deploy and run your first application, you'll go deep into OpenShift. You'll discover crystal-clear explanations of namespaces, cgroups, and SELinux, learn to prepare a cluster, and even tackle advanced details like software-defined networks and security, with real-world examples you can take to your own work. It doesn't matter why you use OpenShift - by the end of this book you'll be able to handle every aspect of it, inside and out! ...
Containers let you package everything into one neat place, and with Red Hat OpenShift you can build, deploy, and run those packages all in one place! Combining Docker and Kubernetes, OpenShift is a powerful platform for cluster management, scaling, and upgrading your enterprise apps. OpenShift in Action is a full reference to Red Hat OpenShift that breaks down this robust container platform so you can use it day-to-day. Starting with how to deploy and run your first application, you'll go deep into OpenShift. You'll discover crystal-clear explanations of namespaces, cgroups, and SELinux, learn to prepare a cluster, and even tackle advanced details like software-defined networks and security, with real-world examples you can take to your own work. It doesn't matter why you use OpenShift - by the end of this book you'll be able to handle every aspect of it, inside and out! ...
Learning Spark
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell; Leverage Spark's powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib; Use one programming paradigm instead of mixing and matching tools like Hiv ...
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell; Leverage Spark's powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib; Use one programming paradigm instead of mixing and matching tools like Hiv ...
Terraform: Up and Running
Terraform has emerged as a key player in the DevOps world for defining, launching, and managing infrastructure as code (IAC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, and Azure. This hands-on book is the fastest way to get up and running with Terraform. Gruntwork co-founder Yevgeniy (Jim) Brikman walks you through dozens of code examples that demonstrate how to use Terraform's simple, declarative programming language to deploy and manage infrastructure with just a few commands. Whether you're a novice developer, aspiring DevOps engineer, or veteran sysadmin, this book will take you from Terraform basics to running a full tech stack capable of supporting a massive amount of traffic and a large team of developers. Compare Terraform to other IAC tools, such as Chef, Puppet, Ansible, and Salt Stack; Use Terraform to deploy server clusters, load balancers, and databases; Learn how Terraform manages the state of your infrastructure and how it ...
Terraform has emerged as a key player in the DevOps world for defining, launching, and managing infrastructure as code (IAC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, and Azure. This hands-on book is the fastest way to get up and running with Terraform. Gruntwork co-founder Yevgeniy (Jim) Brikman walks you through dozens of code examples that demonstrate how to use Terraform's simple, declarative programming language to deploy and manage infrastructure with just a few commands. Whether you're a novice developer, aspiring DevOps engineer, or veteran sysadmin, this book will take you from Terraform basics to running a full tech stack capable of supporting a massive amount of traffic and a large team of developers. Compare Terraform to other IAC tools, such as Chef, Puppet, Ansible, and Salt Stack; Use Terraform to deploy server clusters, load balancers, and databases; Learn how Terraform manages the state of your infrastructure and how it ...
Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively; Make informed decisions b ...
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively; Make informed decisions b ...
Visualizing Streaming Data
While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult - but not impossible. With this practical guide, application designers, data scientists, and system administrators will explore ways to create visualizations that bring context and a sense of time to streaming text data. Author Anthony Aragues guides you through the concepts and tools you need to build visualizations for analyzing data as it arrives. Determine your company's goals for visualizing streaming data; Identify key data sources and learn how to stream them; Learn practical methods for processing streaming data; Build a client application for interacting with events, logs, and records; Explore common components for visualizing streaming data; Consider analysis concepts ...
While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult - but not impossible. With this practical guide, application designers, data scientists, and system administrators will explore ways to create visualizations that bring context and a sense of time to streaming text data. Author Anthony Aragues guides you through the concepts and tools you need to build visualizations for analyzing data as it arrives. Determine your company's goals for visualizing streaming data; Identify key data sources and learn how to stream them; Learn practical methods for processing streaming data; Build a client application for interacting with events, logs, and records; Explore common components for visualizing streaming data; Consider analysis concepts ...