Böcker utgivna av Packt Publishing Limited

Process tabular data and build high-performance query engines on modern CPUs and GPUs using Apache Arrow, a standardized language-independent memory format, for optimal performanceKey Features:- Learn about Apache Arrow's data types and interoperability with pandas and Parquet- Work with Apache Arrow Flight RPC, Compute, and Dataset APIs to produce and consume tabular data- Reviewed, contributed, and supported by Dremio, the co-creator of Apache ArrowBook Description:Apache Arrow is designed to accelerate analytics and allow the exchange of data across big data systems easily.In-Memory Analytics with Apache Arrow begins with a quick overview of the Apache Arrow format, before moving on to helping you to understand Arrow's versatility and benefits as you walk through a variety of real-world use cases. You'll cover key tasks such as enhancing data science workflows with Arrow, using Arrow and Apache Parquet with Apache Spark and Jupyter for better performance and hassle-free data translation, as well as working with Perspective, an open source interactive graphical and tabular analysis tool for browsers. As you advance, you'll explore the different data interchange and storage formats and become well-versed with the relationships between Arrow, Parquet, Feather, Protobuf, Flatbuffers, JSON, and CSV. In addition to understanding the basic structure of the Arrow Flight and Flight SQL protocols, you'll learn about Dremio's usage of Apache Arrow to enhance SQL analytics and discover how Arrow can be used in web-based browser apps. Finally, you'll get to grips with the upcoming features of Arrow to help you stay ahead of the curve.By the end of this book, you will have all the building blocks to create useful, efficient, and powerful analytical services and utilities with Apache Arrow.What You Will Learn:- Use Apache Arrow libraries to access data files both locally and in the cloud- Understand the zero-copy elements of the Apache Arrow format- Improve read performance by memory-mapping files with Apache Arrow- Produce or consume Apache Arrow data efficiently using a C API- Use the Apache Arrow Compute APIs to perform complex operations- Create Arrow Flight servers and clients for transferring data quickly- Build the Arrow libraries locally and contribute back to the communityWho this book is for:This book is for developers, data analysts, and data scientists looking to explore the capabilities of Apache Arrow from the ground up. This book will also be useful for any engineers who are working on building utilities for data analytics and query engines, or otherwise working with tabular data, regardless of the programming language. Some familiarity with basic concepts of data analysis will help you to get the most out of this book but isn't required. Code examples are provided in the C++, Go, and Python programming languages.Table of Contents- Getting Started with Apache Arrow- Working with Key Arrow Specifications- Data Science with Apache Arrow- Format and Memory Handling- Crossing the Language Barrier with the Arrow C Data API- Leveraging the Arrow Compute APIs- Using the Arrow Datasets API- Exploring Apache Arrow Flight RPC- Powered By Apache Arrow- How to Leave Your Mark on Arrow- Future Development and Plans

A detailed guide to preparing for the MS-700 exam and earning associate-level Microsoft Teams administrator certificationKey Features:- Plan and design your Microsoft Teams deployment- Prepare, implement, and manage policies for Microsoft Teams and for apps within Teams- Work with self-assessment questions and a mock exam and take the MS-700 certification exam with confidenceBook Description:Exam MS-700: Managing Microsoft Teams tests your knowledge and competence in the deployment, management, and monitoring of Microsoft Teams features within the Microsoft 365 platform.This book will teach you how to effectively plan and implement the required services using both the Teams admin centre within Microsoft 365 and Windows PowerShell. Throughout the chapters, you'll learn about all the policies relating to messaging, teams, meetings, and more; get to grips with the settings; and explore configuration options that a Teams administrator would encounter in their day-to-day responsibilities. You'll also discover best practices for rolling out and managing Teams services for users within your Microsoft 365 tenant as you explore each objective in detail.By the end of this Microsoft Teams book, you'll have covered everything you need to pass the MS-700 certification exam and have a handy, on-the-job desktop reference guide.What You Will Learn:- Plan and configure network settings and licensing for Microsoft Teams- Plan and configure security, compliance, and governance for Microsoft Teams- Manage users and configure guest and external access- Configure and manage Microsoft Teams devices- Create and manage teams, channels, and core experiences- Manage Phone System and numbers for Microsoft Teams- Troubleshoot audio, video, client, and environment issues- Practice with a mock exam with answers and explanationsWho this book is for:This book is for IT professionals who want to earn the Microsoft 365 Certified: Teams Administrator Associate certification. Familiarity with the principles of administering core features and services within a Microsoft 365 tenant and a basic understanding of Microsoft Teams features are needed. Prior knowledge of other Microsoft 365 workloads such as Security & Compliance will also be beneficial. To maximize the odds of passing the MS-700 exam, use this exam guide's content and practice questions to prepare alongside practicing concepts first-hand when possible.Table of Contents- Planning and configuring network settings for Microsoft Teams- Identifying Licensing Requirements for Microsoft Teams- Planning and Configuring Security and Compliance Settings for Microsoft Teams- Planning and Implementing Governance and Life Cycle Management for Microsoft Teams- Configuring and Managing External and Guest Users- Configuring and Managing Microsoft Teams Devices- Creating and managing teams- Planning and Managing Channels- Managing Chat and Collaboration Experiences- Managing Apps for Microsoft Teams- Managing Meeting Experiences- Managing Phone Numbers- Managing Phone System for Microsoft Teams- Monitoring and Reporting on a Microsoft Teams Environment- Troubleshooting Audio, Video, and Client Issues- Mock Exam- Mock Exam Answers- Assessments

Explore a variety of Excel features, functions, and productivity tips for various aspects of financial modelingKey FeaturesExplore Excel's financial functions and pivot tables with this updated second editionBuild an integrated financial model with Excel for Microsoft 365 from scratchPerform financial analysis with the help of real-world use casesBook DescriptionFinancial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Excel for Microsoft 365 explores financial modeling terminologies with the help of Excel.Starting with the key concepts of Excel, such as formulas and functions, this updated second edition will help you to learn all about referencing frameworks and other advanced components for building financial models. As you proceed, you'll explore the advantages of Power Query, learn how to prepare a 3-statement model, inspect your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. Next, you'll learn how to deal with iterations and provide graphical representations of ratios, before covering best practices for effective model testing. Later, you'll discover how to build a model to extract a statement of comprehensive income and financial position, and understand capital budgeting with the help of end-to-end case studies.By the end of this financial modeling Excel book, you'll have examined data from various use cases and have developed the skills you need to build financial models to extract the information required to make informed business decisions.What you will learnIdentify the growth drivers derived from processing historical data in ExcelUse discounted cash flow (DCF) for efficient investment analysisPrepare detailed asset and debt schedule models in ExcelCalculate profitability ratios using various profit parametersObtain and transform data using Power QueryDive into capital budgeting techniquesApply a Monte Carlo simulation to derive key assumptions for your financial modelBuild a financial model by projecting balance sheets and profit and lossWho this book is forThis book is for data professionals, analysts, traders, business owners, and students who want to develop and implement in-demand financial modeling skills in their finance, analysis, trading, and valuation work. Even if you don't have any experience in data and statistics, this book will help you get started with building financial models. Working knowledge of Excel is a prerequisite.Table of ContentsAn Introduction to Financial Modeling and ExcelSteps for Building a Financial ModelFormulas and Functions - Completing Modeling Tasks with a Single FormulaThe Referencing Framework in ExcelAn Introduction to Power QueryUnderstanding Project and Building AssumptionsAsset and Debt SchedulesPreparing a Cash Flow StatementRatio AnalysisValuationModel Testing for Reasonableness and AccuracyCase Study 1 - Building a Model to Extract a Balance Sheet and Profit and Loss from a Trial BalanceCase Study 2 - Creating a Model for Capital Budgeting