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“…Enhance your application with VBA built-in functions and SQL code Use the Access Object Model to work with data in forms and reports Manipulate data using SQL, queries, and recordsets with Data Access Objects (DAO) Create classes for handling form and control events Connect your Access database to different sources of data Effectively plan how to upsize an existing Access database to Microsoft SQL Server Dynamically update Microsoft Excel spreadsheets from the database Migrate your Access database directly to the cloud using SQL Azure…”

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Tabla de Contenidos: “…-- Technology for data analytics -- The data analytics toolbox -- From data to business value -- Summary -- Chapter 2: Getting Started with KNIME -- KNIME in a nutshell -- Moving around in KNIME -- Nodes -- Hello World in KNIME -- CSV Reader -- Sorter -- Excel Writer -- Cleaning data -- Excel Reader -- Duplicate Row Filter -- String Manipulation -- Row Filter -- Missing Value -- Column Filter -- Column Rename -- Column Resorter -- CSV Writer -- Summary -- Chapter 3: Transforming Data -- Modeling your data -- Combining tables -- Joiner -- Aggregating values -- GroupBy -- Pivoting -- Tutorial: Sales report automation -- Concatenate -- Number To String -- Math Formula -- Group Loop Start -- Loop End -- String to Date&amp -- Time -- Date&amp -- Time-based Row Filter -- Table Row to Variable -- Extract Date&amp -- Time Fields -- Line Plot -- Image Writer (Port) -- Summary -- Chapter 4: What is Machine Learning? …”

Tabla de Contenidos: “…Cover -- Contents -- Foreword -- The Big Picture: Why read this book -- Part 1: The inner source of performance -- Chapter 1: The Motivation Myth: Why performance is misunderstood -- Chapter 2: How Thought and Motivation Works: Why traditional thinking is outdated -- Chapter 3: The Logic of Emotion: Why control is not the answer -- Chapter 4: The Truth About Stress and Pressure: Thrive under any circumstances -- Part 2: Uncovering the truth about what it takes to excel at work -- Chapter 5: The Performance Placebo: Mind over matter -- Chapter 6: Focus and Flow: Stay in the zone and get more time back -- Chapter 7: Escape the Achievement Trap: Cut the ties and fly -- Chapter 8: Unconditional Confidence: You're always ready -- Chapter 9: Beyond Identity: Step into your true nature -- Chapter 10: Make Not Break Relationships: Work well with anyone -- Chapter 11: Decisions Made Easy: Navigate by wisdom -- Chapter 12: Keep Bouncing Back: Be a better surfer -- Summary of Terms Used -- Distinctions Used Throughout the Book -- Notes and References -- About the Author -- Acknowledgements -- ThoughtWorks -- Index…”

Tabla de Contenidos: “…Design Requirements for Real-Time BI -- Part 3: Developing the BI Applications -- Chapter 10: Building BI Applications in Reporting Services -- Chapter 11. Power Pivot and Excel -- Chapter 12. The BI Portal and SharePoint -- Chapter 13. …”

Tabla de Contenidos: “…, 1.2 Features you'll find in this book and others in this series, 1.2.1 Chapter Context, 1.2.2 The Lighter Side (humour), 1.2.3 Quotations, 1.2.4 Definitions, 1.2.5 Discussions and Explanations with a Mathematical Slant for Formula-philes, 1.2.6 Discussions and Explanations without a Mathematical Slant for Formula-phobes, 1.2.7 Caveat Augur, 1.2.8 Worked Examples, 1.2.9 Useful Microsoft Excel Functions and Facilities, 1.2.10 References to Authoritative Sources, 1.2.11 Chapter Reviews, 1.3 Overview of Chapters in this Volume, 1.4 Elsewhere in the 'Working Guide to Estimating & Forecasting' Series, 1.4.1 Volume I: Principles, Process and Practice of Professional Number Juggling, 1.4.2 Volume II: Probability, Statistics and other Frightening Stuff, 1.4.3 Volume III: Best Fit Lines & Curves, and some Mathe-Magical Transformations, 1.4.4 Volume IV: Learning, Unlearning and Re-Learning Curves, 1.4.5 Volume V: Risk, Opportunity, Uncertainty and Other Random Models, 1.5 Final Thoughts and Musings on this Volume and Series, References, , 2 Quantity-based Learning Curves, 2.1 A Brief History of the Learning Curve as a Formal Relationship, 2.2 Two Basic Learning Curve Models (Wright and Crawford), 2.2.1 Wright Cumulative Average Learning Curve, 2.2.2 Crawford Unit Learning Curve, 2.2.3 Wright and Crawford Learning Curves Compared, 2.2.4 What's So Special about the Doubling Rule?…”