Dax S Reading Log
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Dax s Reading Log
Author | : Martha Day Zschock |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2015-11-02 |
Genre | : Electronic Book |
ISBN | : 1516237463 |
Download Dax s Reading Log Book in PDF, Epub and Kindle
Hello, Dax! Welcome to the world of books. This colorful, personalized keepsake is just for you. In Dax's Reading Log, your family and friends will be able to record the first 200 books you read and prepare you for a lifetime of reading, achievement, and success. Sprinkled with great advice and inspiration, this memory book will remind you throughout your life of those books and people who inspired you. A note for adults: recording a child's first books creates a mindset of reading-the first steps to a lifetime of learning and growth.
Serverless Development on AWS
Author | : Sheen Brisals,Luke Hedger |
Publsiher | : "O'Reilly Media, Inc." |
Total Pages | : 501 |
Release | : 2024-01-23 |
Genre | : Computers |
ISBN | : 9781098141905 |
Download Serverless Development on AWS Book in PDF, Epub and Kindle
The adoption of serverless is on the rise, but until now, little guidance has been available for development teams that want to apply this technology on AWS. This definitive guide is packed with architectural, security, and data best practices and patterns for architects and engineers who want to build reliable enterprise-scale serverless solutions. Sheen Brisals, an AWS Serverless Hero, and Luke Hedger, an AWS Community Builder, outline the serverless adoption requirements for an enterprise, examine the development tools your team needs, and explain in depth the nuances of testing event-driven and distributed serverless services. You'll gain practical guidance for keeping up with change and learn how to build serverless solutions with sustainability in mind. Examine the serverless technology ecosystem and AWS services needed to develop serverless applications Learn the approach and preparation required for a successful serverless adoption in an enterprise Learn serverless architectures and implementation patterns Design, develop, and test distributed serverless microservices on AWS cloud Apply security best practices while building serverless solutions Identify and adapt the implementation patterns for your particular use case Incorporate the necessary measures for observable serverless applications Implement sustainable serverless applications in the cloud
AWS Certified Database Specialty DBS C01 Certification Guide
Author | : Kate Gawron |
Publsiher | : Packt Publishing Ltd |
Total Pages | : 472 |
Release | : 2022-05-13 |
Genre | : Computers |
ISBN | : 9781803240053 |
Download AWS Certified Database Specialty DBS C01 Certification Guide Book in PDF, Epub and Kindle
Pass the AWS Certified Database- Specialty Certification exam with the help of practice tests Key Features • Understand different AWS database technologies and when to use them • Master the management and administration of AWS databases using both the console and command line • Complete, up-to-date coverage of DBS-C01 exam objectives to pass it on the first attempt Book Description The AWS Certified Database – Specialty certification is one of the most challenging AWS certifications. It validates your comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting. With this guide, you'll understand how to use various AWS databases, such as Aurora Serverless and Global Database, and even services such as Redshift and Neptune. You'll start with an introduction to the AWS databases, and then delve into workload-specific database design. As you advance through the chapters, you'll learn about migrating and deploying the databases, along with database security techniques such as encryption, auditing, and access controls. This AWS book will also cover monitoring, troubleshooting, and disaster recovery techniques, before testing all the knowledge you've gained throughout the book with the help of mock tests. By the end of this book, you'll have covered everything you need to pass the DBS-C01 AWS certification exam and have a handy, on-the-job desk reference guide. What you will learn • Become familiar with the AWS Certified Database – Specialty exam format • Explore AWS database services and key terminology • Work with the AWS console and command line used for managing the databases • Test and refine performance metrics to make key decisions and reduce cost • Understand how to handle security risks and make decisions about database infrastructure and deployment • Enhance your understanding of the topics you've learned using real-world hands-on examples • Identify and resolve common RDS, Aurora, and DynamoDB issues Who this book is for This AWS certification book is for database administrators and IT professionals who perform complex big data analysis as well as students looking to get AWS Database Specialty certified. A solid understanding of cloud computing, specifically AWS services, is a must. Knowledge of basic administration tasks such as logging in and running SQL queries will be helpful.
The Routledge Handbook of Experimental Linguistics
Author | : Sandrine Zufferey,Pascal Gygax |
Publsiher | : Taylor & Francis |
Total Pages | : 523 |
Release | : 2023-09-04 |
Genre | : Language Arts & Disciplines |
ISBN | : 9781000919387 |
Download The Routledge Handbook of Experimental Linguistics Book in PDF, Epub and Kindle
The Routledge Handbook of Experimental Linguistics provides an up-to-date and accessible overview of various ways in which experiments are used across all domains of linguistics and surveys the range of state-of-the-art methods that can be applied to analyse the language of populations with a wide range of linguistic profiles. Each chapter provides a step-by-step introduction to theoretical and methodological challenges and critically presents a wide range of studies in various domains of experimental linguistics. This handbook: Provides a unified perspective on the data, methods and findings stemming from all experimental research in linguistics Covers many different subfields of linguistics, including argumentation theory, discourse studies and typology Provides an introduction to classical as well as new methods to conduct experiments such as eye tracking and brain imaging Features a range of internationally renowned academics Shows how experimental research can be used to study populations with various linguistic profiles, including young children, people with linguistic impairments, older adults, language learners and bilingual speakers Providing readers with a wealth of theoretical and practical information in order to guide them in designing methodologically sound linguistic experiments, this handbook is essential reading for scholars and students researching in all areas of linguistics.
Collect Combine and Transform Data Using Power Query in Excel and Power BI
Author | : Gil Raviv |
Publsiher | : Microsoft Press |
Total Pages | : 874 |
Release | : 2018-10-08 |
Genre | : Computers |
ISBN | : 9781509307975 |
Download Collect Combine and Transform Data Using Power Query in Excel and Power BI Book in PDF, Epub and Kindle
Using Power Query, you can import, reshape, and cleanse any data from a simple interface, so you can mine that data for all of its hidden insights. Power Query is embedded in Excel, Power BI, and other Microsoft products, and leading Power Query expert Gil Raviv will help you make the most of it. Discover how to eliminate time-consuming manual data preparation, solve common problems, avoid pitfalls, and more. Then, walk through several complete analytics challenges, and integrate all your skills in a realistic chapter-length final project. By the time you’re finished, you’ll be ready to wrangle any data–and transform it into actionable knowledge. Prepare and analyze your data the easy way, with Power Query · Quickly prepare data for analysis with Power Query in Excel (also known as Get & Transform) and in Power BI · Solve common data preparation problems with a few mouse clicks and simple formula edits · Combine data from multiple sources, multiple queries, and mismatched tables · Master basic and advanced techniques for unpivoting tables · Customize transformations and build flexible data mashups with the M formula language · Address collaboration challenges with Power Query · Gain crucial insights into text feeds · Streamline complex social network analytics so you can do it yourself For all information workers, analysts, and any Excel user who wants to solve their own business intelligence problems.
Beginning DAX with Power BI
Author | : Philip Seamark |
Publsiher | : Apress |
Total Pages | : 270 |
Release | : 2018-03-31 |
Genre | : Computers |
ISBN | : 9781484234778 |
Download Beginning DAX with Power BI Book in PDF, Epub and Kindle
Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges. Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides you on a journey through typical business data transformation scenarios and challenges, and teaches you, step-by-step, how to resolve challenges using DAX. Tips, tricks, and shortcuts are included and explained, along with examples of the SQL equivalent, in order to accelerate learning. Examples in the book range from beginner to advanced, with plenty of detailed explanation when walking through each scenario. What You’ll Learn Turbocharge your Power BI model by adding advanced DAX programming techniques Know when to use calculated measures versus calculated columns Generate new tables on the fly from existing data Optimize, monitor, and tune Power BI to improve performance of your models Discover new ideas, tricks, and time-saving techniques for better models Who This Book Is For Business intelligence developers, business analysts, or any SQL user who wants to use Power BI as a reporting tool. A solid understanding of SQL is recommended, as examples throughout the book include the DAX equivalents to SQL problem/solution scenarios.
Operational Expert System Applications in Europe
Author | : Gian Piero Zarri |
Publsiher | : Elsevier |
Total Pages | : 309 |
Release | : 2014-05-18 |
Genre | : Computers |
ISBN | : 9781483144917 |
Download Operational Expert System Applications in Europe Book in PDF, Epub and Kindle
Operational Expert System Applications in Europe describes the representative case studies of the operational expert systems (ESs) that are used in Europe. This compilation provides examples of operational ES that are realized in 10 different European countries, including countries not usually examined in the standard reviews of the field. This book discusses the decision support system using several artificial intelligence tools; expert systems for fault diagnosis on computerized numerical control (CNC) machines; and expert consultation system for personal portfolio management. The failure probability based troubleshooting expert system for the Airbus A-310; automatic diagnosis of rotating machinery faults; and expert system for naval resource allocation are also covered. This publication is suitable for researchers and specialists interested in the operational expert system applications in Europe.
Web and Big Data
Author | : Leong Hou U,Marc Spaniol,Yasushi Sakurai,Junying Chen |
Publsiher | : Springer Nature |
Total Pages | : 515 |
Release | : 2021-08-18 |
Genre | : Computers |
ISBN | : 9783030858964 |
Download Web and Big Data Book in PDF, Epub and Kindle
This two-volume set, LNCS 12858 and 12859, constitutes the thoroughly refereed proceedings of the 5th International Joint Conference, APWeb-WAIM 2021, held in Guangzhou, China, in August 2021. The 44 full papers presented together with 24 short papers, and 6 demonstration papers were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining; Data Management; Topic Model and Language Model Learning; Text Analysis; Text Classification; Machine Learning; Knowledge Graph; Emerging Data Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.