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System Design Interview - An Insider's Guide (Volume 2)This book can be seen as a sequel to the book: System Design Interview - An Insider’s Guide. It covers a different set of system design interview questions and solutions. Although reading Volume 1 is helpful, it is not required. This book should be accessible to readers who have a basic understanding of distributed systems.This volume provides a reliable strategy and knowledge base for approaching a broad range of system design questions that you may encounter. It will help you feel confident during this important interview. This book provides a step-by-step framework for how to tackle a system design question. It also includes many real-world examples to illustrate a systematic approach, with detailed and well-explained steps you can follow.What’s inside?- An insider’s take on what interviewers really look for and why.- A 4-step framework for solving any system design interview question.- 13 real system design interview questions with detailed solutions.- 300+ diagrams to visually explain how different systems work.Table of ContentsChapter 1: Proximity ServiceChapter 2: Nearby FriendsChapter 3: Google MapsChapter 4: Distributed Message QueueChapter 5: Metrics MonitoringChapter 6: Ad Click Event AggregationChapter 7: Hotel ReservationChapter 8: Distributed Email ServiceChapter 9: S3-like Object StorageChapter 10: Real-time Gaming LeaderboardChapter 11: Payment SystemChapter 12: Digital WalletChapter 13: Stock Exchange Read more

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples Read more

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Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation…Did you know that every minute, people around the world make 5.9 million searches on Google, share 1.7 million posts on Facebook, and watch 1 million hours of videos?And that's not even all of it! In total, the world creates a massive 328 million terabytes of data every day!Data is everywhere… and it has become the essential building block of this modern society, shaping the future of businesses, technology, and human interactions.It’s no wonder that data professional roles, such as data analysts, data scientists, and data architects are now highly in demand in this data-driven world.And that’s why now is the perfect time to pursue a career in data.But what does it take to become a competent data professional? This book has all the answers!Building a successful career in data is all about cultivating the necessary mindset, knowledge, and skills.This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.Here is just a fraction of what you will discover:A comprehensive guide to the data analytics process — a beginner-friendly 5-step framework to kickstart your journey into analyzing and processing dataHow to get started with the fundamental concepts, theories, and models for accurately analyzing dataEverything you ever needed to know about data mining and machine learning principles — your gateway to unlocking the secrets of data's hidden potentialWhy business run on a data-driven culture, and how you can leverage it using real-time business intelligence analyticsStrategies and techniques to build a problem-solving mindset that can overcome any complex and unique datasetHow to create compelling and dynamic visualizations that help generate insights and make data-driven decisionsThe 4 pillars of a new digital world — discover how emerging technologies will transform the landscape of analyzing dataAnd much more.Believe it or not, you can be terrible in math or statistics and still pursue a career in data.Yes, you need a good grasp of the basics but always keep in mind that knowledge can be acquired and skills can be developed.The key is to not be intimidated by the strings of characters and numbers. Focus, instead, on building a mindset that thirsts for knowledge.You’ll be surprised by how much you’re able to do with just that.And this book is here to guide you throughout this journey, so that crunching data becomes second nature to you.So, what are you waiting for?Ready to master the fundamentals and build a successful career in data analytics? Scroll up and click the “Add to Cart” button right now. Read more

Now expanded and updated with modern best practices, this is the most complete guide to Microsoft’s DAX language for business intelligence, data modeling, and analytics. Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, and use this knowledge to write fast, robust code. This edition focuses on examples you can build and run with the free Power BI Desktop, and helps you make the most of the powerful syntax of variables (VAR) in Power BI, Excel, or Analysis Services. Want to leverage all of DAX’s remarkable capabilities? This no-compromise “deep dive” is exactly what you need.Perform powerful data analysis with DAX for Power BI, SQL Server, and Excel·         Master core DAX concepts, including calculated columns, measures, and calculation groups·         Work efficiently with basic and advanced table functions·         Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions·         Perform time-based calculations·         Use calculation groups and calculation items·         Use syntax of variables (VAR) to write more readable, maintainable code·         Express diverse and unusual relationships with DAX, including many-to-many relationships and bidirectional filters·         Master advanced optimization techniques, and improve performance in aggregations·         Optimize data models to achieve better compression·         Measure DAX query performance with DAX Studio and learn how to optimize your DAX  Read more

Make better decisions with this deconstructed guide to data analyticsWant to add data analytics to your skill stack? Having trouble finding where to start?Cell by cell, bit by bit, this book teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Using the "Lego set" approach, each chapter adds and connects individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.Who is This Book For?This book is ideal for anyone interested in making sense of data analytics without the assumption that you understand data science terminology or advanced math. If you've tried to learn data analytics before and failed, this book is for you.Practical ApproachThis book takes a hands-on approach to learning. This includes practical examples, visual examples, as well as two bonus coding exercises in Python, including free video content to walk you through both exercises. By the end of the book, you will have the practical knowledge to tackle real data problems in your organization or daily life.What You Will Learn• How to recognize the common data types every data scientist needs to master• Where to store your data, including Big Data• New trends in data analytics, including what is Alternative Data and why few people know about it!• How to explain the distinction between Data Mining, Machine Learning, and Analytics to your colleagues• When and how to use Regression Analysis, Classification, Clustering, Association Analysis, and Natural Language Processing• How to make better business decisions using Data Visualization and Business IntelligenceJoin this introductory course by buying a copy now or sending a free sample to your chosen device. Read more

Are you tired of being bombarded with ads while trying to enjoy your favorite book on your Kindle device? It's time to take control of your reading experience and remove those pesky ads once and for all. With our easy-to-follow guide, you can quickly and easily remove ads from your Kindle and enjoy uninterrupted reading pleasure.With this book “REMOVING ADS FROM YOUR KINDLE,” A Complete Step By Step User Guide On How To Remove Ads Off Your Amazon Fire HD In Minutes With Pictorial IllustrationBy Randolph D. Croft, there will beno more frustrating interruptions or distracting banners, just pure, unadulterated reading enjoyment. Plus, with ad-free reading, you'll be able to focus more on your reading and less on the distractions around you.So why wait? Get This Book Today And Upgrade your Kindle experience today and remove ads from your device with our simple guide.In this guide you will learn;How to Stop Ads via websiteGetting Rid Of Ads Using The Fire Tablets ItselfConfiguration Once Ads Has Been RemovedAltering The Background PictureModifying The Screen LocksHow To Remove Possible Problems You May Encounter When Doing ItSo I encourage you to scroll and click on the buy now button! Read more

A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as much of the universe is composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. In Dark Data, data expert David Hand takes us on a fascinating and enlightening journey into the world of the data we don't see.Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them. In doing so, he teaches us not only to be alert to the problems presented by the things we don’t know, but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions.Today, we all make decisions using data. Dark Data shows us all how to reduce the risk of making bad ones. Read more

For those who aspire to pass the Databricks Certified Associate Developer for Apache Spark 3.0 Python and Databricks Certified Data Engineer Associate exam on their first try, this guide is your key to success. It's designed to provide comprehensive coverage of the exam syllabus, equipping you with the knowledge and skills you need without any unnecessary fluff competitor books provide. Databricks certifications are highly valued in the industry, making this guide a valuable resource for data engineers, data analysts, BI developers, and data scientists. Read more

To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.Get a crash course in PythonLearn the basics of linear algebra, statistics, and probability—and how and when they’re used in data scienceCollect, explore, clean, munge, and manipulate dataDive into the fundamentals of machine learningImplement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clusteringExplore recommender systems, natural language processing, network analysis, MapReduce, and databases Read more

Master Excel Even If You're a Complete Beginner!Do you panic when you receive complex spreadsheets?Would you like to be the office Excel guru, the go-to person everyone seeks when they hit a snag?If that's the case, you're in the right place.Many believe Excel is hard to learn, and indeed, it's no easy feat without proper guidance.You could watch some videos online, but a structured approach is necessary for effective and speedy learning.Thanks to this book, hundreds of beginners have learned to use Excel like professionals (check out the reviews, you'll find many fully satisfied readers).In this book, you'll find a well-structured learning path facilitated by 200 images and over 100 exercises that will help you with every topic covered, even if you're confused and just starting out.Here's what you'll learn in 7 days:✅ Day 1 - Excel Basics: we'll start with the essentials and set up your first spreadsheet together✅ Day 2 - Data Entry and Management: we'll learn how to insert and edit data in an Excel file, and we'll discover strategies to save a tremendous amount of time and avoid data entry errors.✅ Day 3 - Organizing Data: we'll learn how to quickly sort and filter data, and understand how to highlight the most important information from the rest.✅ Day 4 - Customizing the Spreadsheet: we'll learn to "drive" and "force" data entry for a professional spreadsheet. We'll learn to create dynamic and colorful sheets that are functional yet visually appealing.✅ Day 5 - Functions and Formulas: we'll start with basic functions, then move on to advanced ones. For each formula, we'll have an example and an explanatory image.✅ Day 6 - Understanding Tables: we'll learn how data tables function, and how to effortlessly organize large amounts of information.✅ Day 7 - Creating Charts: we'll learn to create incredibly professional charts with just a few clicks. We'll also reveal 50 keyboard shortcuts that will save you a mountain of time.The path is designed to enable anyone to learn to use Excel professionally, even starting from scratch.You'll also gain access to three fantastic bonuses: BONUS #1: over 300 ready-to-use Excel templates (project management, household cash flows, inventory, etc.)BONUS #2: A detailed step-by-step tutorial, through which you'll create your first complex spreadsheet (we'll create an Excel file for managing family budget together)BONUS #3: A complete video course, accessible anywhere and anytime, to consolidate your Excel knowledge.We can't wait to have you on board to bring you to a professional level of Excel knowledge!✅ Click "Buy Now" and start your journey now. Read more

Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests."A/B testing is the gold standard of creating verifiable and repeatable experiments, and this book is its definitive text" -- Steve Blank, father of modern entrepreneurship, author of The Startup Owner's Manual and The Four Steps to the Epiphany"This book is a great resource for executives, leaders, researchers or engineers looking to use online controlled experiments" -- Harry Shum, Executive Vice President, Microsoft Artificial Intelligence and Research Group"A great book that is both rigorous and accessible. Readers will learn how to bring trustworthy controlled experiments, which have revolutionized internet product development, to their organizations" -- Adam D'Angelo, Co-founder and CEO of Quora and prior CTO of Facebook "Kohavi, Tang and Xu have a wealth of experience and excellent advice to convey, so the book has lots of practical real world examples and lessons learned over many years of the application of these techniques at scale." -- Jeff Dean, Google Senior Fellow, and SVP, Google Research"The secret sauce for a successful online business is experimentation. But it is a secret no longer. Here three masters of the art describe the ABCs of A/B testing so that you too can continuously improve your online services." -- Hal Varian, Chief Economist, Google, and author of Intermediate Microeconomics: A Modern Approach"This is the new bible of how to get from data to decisions in the digital age." -- Scott Cook, Intuit Co-founder & Chairman of the executive committeeBased on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to Use the scientific method to evaluate hypotheses using controlled experiments. Define key metrics and ideally an Overall Evaluation Criterion. Test for trustworthiness of the results and alert experimentersto violated assumptions. Build a scalable platform that lowers the marginal cost of experiments close to zero. Avoid pitfalls like carryover effects and Twyman's law * Understand how statistical issues play out in practice. Read more

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you’ll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher-quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data Read more

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.This book will help you:Get a concise overview of the entire data engineering landscapeAssess data engineering problems using an end-to-end framework of best practicesCut through marketing hype when choosing data technologies, architecture, and processesUse the data engineering lifecycle to design and build a robust architectureIncorporate data governance and security across the data engineering lifecycle Read more

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A step-by-step guide for business leaders who need to manage successful big data projectsLeading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You’ll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can’t control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. Ensure the success of analytics initiatives, maximize ROI, and draw value from big dataLearn to define success and failure in analytics and big data projectsSet your organization up for analytics success by identifying problems that have big data solutionsBring together the people, the tools, and the strategies that are right for the jobBy learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results. Read more

Lead your demand planning process to excellence and deliver real value to your supply chain.In Demand Forecasting Best Practices you’ll learn how to: Lead your team to improve quality while reducing workloadProperly define the objectives and granularity of your demand planningUse intelligent KPIs to track accuracy and biasIdentify areas for process improvementHelp planners and stakeholders add valueDetermine relevant data to collect and how best to collect itUtilize different statistical and machine learning models An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. Demand Forecasting Best Practices teaches you how to become that virtuoso demand forecaster. This one-of-a-kind guide reveals forecasting tools, metrics, models, and stakeholder management techniques for delivering more effective supply chains. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput’s original five step framework for demand planning excellence and learn how to tailor it to your own company’s needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You’ll soon be delivering accurate predictions that are driving major business value. About the Technology An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. This book teaches you how to become that virtuoso demand forecaster. About the Book Demand Forecasting Best Practices reveals forecasting tools, metrics, models, and stakeholder management techniques for managing your demand planning process efficiently and effectively. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput’s original five step framework for demand planning excellence and learn how to tailor it to your own company’s needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You’ll soon be delivering accurate predictions that are driving major business value. What's Inside Enhance forecasting quality while reducing team workloadUtilize intelligent KPIs to track accuracy and biasIdentify process areas for improvementAssist stakeholders in sales, marketing, and financeOptimize statistical and machine learning models About the Reader For demand planners, sales and operations managers, supply chain leaders, and data scientists. About the Author Nicolas Vandeput is a supply chain data scientist, the founder of consultancy company SupChains in 2016, and a teacher at CentraleSupélec, France. Table of Contents: Part 1 - Forecasting demand 1 Demand forecasting excellence 2 Introduction to demand forecasting 3 Capturing unconstrained demand (and not sales) 4 Collaboration: data sharing and planning alignment 5 Forecasting hierarchies 6 How long should the forecasting horizon be? 7 Should we reconcile forecasts to align supply chains? Part 2 - Measuring forecasting quality 8 Forecasting metrics 9 Choosing the best forecasting KPI 10 What is a good forecast error? 11 Measuring forecasting accuracy on a product portfolio Part 3 - Data-driven forecasting process 12 Forecast value added 13 What do you review? ABC XYZ segmentations and other methods Part 4 - Forecasting methods 14 Statistical forecasting 15 Machine learning 16 Judgmental forecasting 17 Now it’s your turn! Read more

Are you tired of feeling lost when it comes to managing your money? Do you want to take control of your finances but don't know where to start? Look no further! This comprehensive guide is here to help you master Quicken, one of the most popular personal finance tools available today.In this book, you'll learn everything you need to know about using Quicken to organize your finances, create budgets, track expenses, and plan for your financial future. Whether you're a complete beginner or have some experience with personal finance software, this guide will walk you through every step of the process.From setting up your first account to generating complex financial reports, you'll discover how to make the most of Quicken's powerful features. I'll show you how to:Set up and customize Quicken to fit your unique financial situationTrack your income and expenses with easeCreate and stick to a budget that works for youManage your investments and monitor their performancePlan for big financial goals like buying a house or retiring comfortablyGenerate helpful reports to better understand your financial healthUse Quicken's mobile app to stay on top of your finances on the goBut this book isn't just about learning how to use software. It's about gaining the knowledge and confidence you need to take charge of your financial life. By the time you finish reading, you'll have a clear understanding of your money situation and the tools to make smart financial decisions.Here's what you can expect to gain from this guide:A solid foundation in personal finance principlesConfidence in managing your money day-to-dayThe ability to create and follow a realistic budgetSkills to track and categorize your spending effectivelyKnowledge to make informed investment decisionsStrategies for reducing debt and building wealthTools to plan for both short-term and long-term financial goalsDon't let another day go by feeling uncertain about your finances. With this guide, you'll have everything you need to start using Quicken like a pro and take control of your financial future. The path to financial confidence starts here – are you ready to take the first step?Get your copy today and start your journey towards financial freedom with Quicken as your trusty companion! Read more