“…It is based on a oncolumn solid phase extraction (SPE) for the separation of As(III) and As(V) by means of ionic exchange coupled to HG-QT-AAS. …”
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“…As you advance, you'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, which help minimize the operational efforts that you have to invest in managing regular ETL pipelines and ensure the timely and accurate refreshing of your data warehouse. …”

“…Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. …”

“…A basic understanding of cloud technologies, extract, transform, and load (ETL), and databases will help you get the most out of this book…”

“…What you will learn Understand how time series data differs from other types of data Explore the key challenges that can be solved using time series data Forecast future values of business metrics using Amazon Forecast Detect anomalies and deliver forewarnings using Lookout for Equipment Detect anomalies in business metrics using Amazon Lookout for Metrics Visualize your predictions to reduce the time to extract insights Who this book is for If you're a data analyst, business analyst, or data scientist looking to analyze time series data effectively for solving business problems, this is the book for you. …”

“…What You Will Learn Understand SQL databases Understand the relational model Learn to insert data into SQL databases Extract data from SQL databases Learn about aggregations, subqueries, joins, and unions Learn about different window functions Audience Anyone who wishes to learn about databases, integrate databases into their programs, or learn about SQL databases should take this course. …”

“…Azure Synapse Data Explorer helps you collect, store, and analyze such data, and work with other analytical engines, such as Apache Spark, to develop advanced data science projects and maximize the value you extract from data. This book offers a comprehensive view of Azure Synapse Data Explorer, exploring not only the core scenarios of Data Explorer but also how it integrates within Azure Synapse. …”

“….” — Brandon Goldfedder , Vice President of Engineering, Information Extraction and Transport (IET Inc.), and Author of The Joy of Patterns “TurboGears really changed the way I schedule project releases: It allows me to deliver them faster and with better quality than when I used to use GUI toolkits.” — Jorge Godoy , Owner of G2C Tech Consultoria in Brazil, former Lead Developer for Conectiva documentation team “With TurboGears, I was able to transition my Python projects into Web applications as easily as possible.” — Benjamin T. …”

“…Additionally, you’ll explore further steps in scaling Rails codebase, such as service extractions. By the end of this book, you’ll be a code design specialist with a deep understanding of the Rails framework principles.What you will learnDiscover Rails' core components and its request/response cycleUnderstand Rails' convention-over-configuration principle and its impact on developmentExplore patterns for flexibility, extensibility, and testability in RailsIdentify and address Rails’ anti-patterns for cleaner codeImplement design patterns for handling bloated models and messy viewsExpand from mailers to multi-channel notification deliveriesExplore different authorization models and layersUse a class-based approach to configuration in RailsWho this book is forThis book is for Rails application developers facing challenges in managing the growing complexity of their projects. …”

“…We selected studies on screening versus no screening, delayed screening, or usual care; the diagnostic accuracy of screening tests in primary care settings; and treatment versus sham therapy, placebo, or no treatment for uncorrected refractive errors, cataracts, and AMD. DATA EXTRACTION: We abstracted details about the study design, patient population, setting, screening method, interventions, analysis, followup, and results. …”

“…Build efficient LINQ queries to .NET objects, SQL databases, and XML content Utilize anonymous types to reduce design time, coding effort, and debugging time Automatically generate .NET state machines with the new yield return construct Master LINQ query syntax, operators, extension methods, sorting, grouping, aggregate and set operations, and more Make the most of select--and use it in the business layer of your n-tier applications Query relational data stored in Microsoft SQL Server Use nullable types to eliminate unnecessary database access plumbing code Use LINQ with ADO.NET 3.0 and Microsoft’s powerful new Entity Framework Extract XML data without the hassles or complexity of XPath Automatically construct XML from CSV files and other non-XML data Query Active Directory by extending LINQ Introduction 1 Part I Getting Ready for LINQ 1 Programming with Anonymous Types 5 2 Using Compound Type Initialization 29 3 Defining Extension and Partial Methods 61 4 yield return: Using .NET’s State Machine Generator 85 5 Understanding Lambda Expressions and Closures 97 6 Using Standard Query Operators 121 Part II LINQ for Objects 7 Sorting and Grouping Queries 137 8 Using Aggregate Operations 15..…”

“…Regardless of what stage of development your startup is in, How to Create the Next Facebook provides you with clear, compelling, and ultimately actionable advice extracted from Facebook's startup success story. You'll learn how Facebook handled the very same situations your startup is confronting—from how it arrived at its mission statement to what its priorities were during its talent search process—before gaining access to all the concrete, practical guidance you need to make the right decisions for your company and continue moving forward with confidence. …”

“…By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data. What you will learn Develop stunning visualizations to explain complex data with clarity Build interactive dashboards to drive actionable user insights Explore Data Model capabilities and interlink data from various sources Create and use calculations to solve problems and enrich your analytics Enable smart decision-making with data clustering, distribution, and forecasting Extend Tableau's native functionality with extensions, scripts, and AI through CRM Analytics (formerly Einstein Analytics) Leverage Tableau Prep Builder's amazing capabilities for data cleaning and structuring Share your data stories to build a culture of trust and action Who this book is for This Tableau book is for aspiring BI developers and data analysts, data scientists, researchers, and anyone else who wants to gain a deeper understanding of data through Tableau. …”