This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading 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, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX's remarkable power and flexibility, this no-compromise deep dive is exactly what you need.

Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI

• Master core DAX concepts, including calculated columns, measures, and error handling
• Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions
• Perform time-based calculations: YTD, MTD, previous year, working days, and more
• Work with expanded tables, complex functions, and elaborate DAX expressions
• Perform calculations over hierarchies, including parent/child hierarchies
• Use DAX to express diverse and unusual relationships
• Measure DAX query performance with SQL Server Profiler and DAX Studio

This book introduces you to the field of relational database development and usage. There are many good books in this field. This book is different. It covers the basics so that beginners can read cover to cover. It is not a book for all levels of readers. For example, this book uses Microsoft SQL Server and Transact-SQL (or T-SQL). It will not mention the different dialect of Oracle or MySQL. If you are interested in Oracle or MySQL, you should use a different book. If you learned SQL Server from this book at your institution and you need to use other DBMS in your future job, the knowledge is only one Google away. This is not a reference book. For example, there are multiple ways to use aliases in T-SQL, but we only use one way. We believe that it is pretty easy to know different ways of using aliases once you finish this book. Why introduce all the different ways of using aliases for the first timer?This book is also unique with over 100 SQL examples and exercises. Most of these examples and exercises are paired. Readers learn one SQL example and can find a corresponding SQL exercise. We believe you have to write the codes in order to show you understood this book. You won't complete this book in 24 hours or 7 days.Even though the book is simple, by the end of the book, readers will be able to apply the knowledge learned to real world projects. We include one project with the detailed process of developing the database and the SQL examples of using the database. This book also includes three case studies readers can practice. This book uses a custom database which is simple with very limited data. The advantage of this approach is that you can manually find the solution before you write the SQL statement (Appendix 2 provides all data of the database). For example, if the question asks for the highest priced deliveries product, you can manually go to Appendix 2 of the book and find the product before you write the SQL statement.Please use Amazon's preview to take a look of the book before purchasing.

The third edition includes 343 review questions. We are grateful to Dr. Youlong Zhuang for reviewing this edition.

This is the second book on transact-SQL. I assume the readers have completed my first book entitled Relational Database and transact SQL. In addition to cover the syntax for advanced SQL statements, this book provides plenty of examples and exercises.

Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance(TM) focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources.

Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how:

• Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work.
• Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods.
• Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives.
• A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset.
• Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

Demystify the blockchain--and learn how to use it--with this practical guide. Start from the ground up: What is Ethereum? What is Solidity? And how are they used to create smart contracts? Then see how to implement your own blockchain, including configuring a peer-to-peer network, managing miner accounts, and more. Follow step-by-step instructions and detailed code examples to develop smart contracts and dApps. Work with cutting-edge technologies such as Bitcoin, DeFi, NFTs, and more. Welcome to the world of blockchain!

In this book, you'll learn about:

a. Blockchain Basics
You've heard the hype around Bitcoin, NFTs, and crypto mining. But how does the underlying blockchain technology work? Understand the fundamentals of the distributed ledger, and learn how to create and manage your own blockchain.

b. Application Development
Master smart contracts, from programming with Solidity to testing, debugging, deployment, and beyond. Develop decentralized applications (dApps) and expand them into a decentralized autonomous organization (DAO) by implementing a frontend with ether.js.

c. Tips from the Experts
Follow guidance from experienced blockchain programmers. Use commented code examples as templates for your projects to get started building your own blockchain and smart contracts in the real world.

Highlights include:

1) Blockchain basics and creation
2) Smart contracts and dApps
3) Development with Solidity
4) Testing, debugging, and security
5) Web APIs
6) Peer-to-peer frameworks
7) Accounts and balances
8) Transaction and block verification
9) Gas optimization
10) Decentralized finance (DeFi)
11) Non-fungible tokens (NFTs)
12) Yul and Huff contracts

Whether you're managing large datasets or writing your first query, build your SQL skills with this practical guide! Learn the basic elements of relational databases and walk through the syntax, features, and applications of SQL. Then dive into the sublanguages of SQL and apply them for tasks such as modifying tables and querying data. See SQL in action with an example PostgreSQL database and detailed code samples from real-word applications!

Highlights:
1) Schemas
2) Tables
3) Views
4) Keys
5) PostgreSQL
6) Data definition language (DDL)
7) Data manipulation language (DML)
8) Transaction control language (TCL)
9) Data query language (DQL)
10) Data control language (DCL)
11) Entity-relationship diagrams (ERD)

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Revised to cover new advances in business intelligence--big data, cloud, mobile, and more--this fully updated bestseller reveals the latest techniques to exploit BI for the highest ROI.

Cindi has created, with her typical attention to details that matter, a contemporary forward-looking guide that organizations could use to evaluate existing or create a foundation for evolving business intelligence / analytics programs. The book touches on strategy, value, people, process, and technology, all of which must be considered for program success. Among other topics, the data, data warehousing, and ROI comments were spot on. The 'technobabble' chapter was brilliant! ―Bill Frank, Business Intelligence and Data Warehousing Program Manager, Johnson & Johnson

If you want to be an analytical competitor, you've got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It's required reading for quantitatively oriented strategists and the technologists who support them. ―Thomas H. Davenport, President's Distinguished Professor, Babson College and co-author, Competing on Analytics

Cindi has created an exceptional, authoritative description of the end-to-end business intelligence ecosystem. This is a great read for those who are just trying to better understand the business intelligence space, as well as for the seasoned BI practitioner. ―Sully McConnell, Vice President, Business Intelligence and Information Management, Time Warner Cable

Cindi's book succinctly yet completely lays out what it takes to deliver BI successfully. IT and business leaders will benefit from Cindi's deep BI experience, which she shares through helpful, real-world definitions, frameworks, examples, and stories. This is a must-read for companies engaged in - or considering - BI. ―Barbara Wixom, PhD, Principal Research Scientist, MIT Sloan Center for Information Systems Research

Expanded to cover the latest advances in business intelligence such as big data, cloud, mobile, visual data discovery, and in-memory computing, this fully updated bestseller by BI guru Cindi Howson provides cutting-edge techniques to exploit BI for maximum value. Successful Business Intelligence: Unlock the Value of BI & Big Data, Second Edition describes best practices for an effective BI strategy. Find out how to:

• Garner executive support to foster an analytic culture
• Align the BI strategy with business goals
• Develop an analytic ecosystem to exploit data warehousing, analytic appliances, and Hadoop for the right BI workload
• Continuously improve the quality, breadth, and timeliness of data
• Find the relevance of BI for everyone in the company
• Use agile development processes to deliver BI capabilities and improvements at the pace of business change
• Select the right BI tools to meet user and business needs
• Measure success in multiple ways
• Embrace innovation, promote successes and applications, and invest in training
• Monitor your evolution and maturity across various factors for impact

Exclusive industry survey data and real-world case studies from Medtronic, Macy's, 1-800 CONTACTS, The Dow Chemical Company, Netflix, Constant Contact, and other companies show successful BI initiatives in action.

From Moneyball to Nate Silver, BI and big data have permeated our cultural, political, and economic landscape. This

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Get Up to Speed on Microsoft(R) SQL Server(R) 2019 Quickly and Easily

Start working with Microsoft SQL Server 2019 in no time with help from this thoroughly revised, practical resource. Filled with real-world examples and hands-on exercises, Microsoft SQL Server 2019: A Beginner's Guide, Seventh Edition starts by explaining fundamental relational database system concepts. From there, you'll learn how to write Transact-SQL statements, execute simple and complex database queries, handle system administration and security, and use powerful analysis and reporting tools. New topics such as SQL and JSON support, graph databases, and support for machine learning with R and Python are also covered in this step-by-step tutorial.

- Install, configure, and customize Microsoft SQL Server 2019
- Create and modify database objects with Transact-SQL statements
- Write stored procedures and user-defined functions
- Handle backup and recovery, and automate administrative tasks
- Tune your database system for optimal availability and reliability
- Secure your system using authentication, encryption, and authorization
- Work with SQL Server Analysis Services, Reporting Services, and other BI tools
- Gain knowledge of relational storage, presentation, and retrieval of data stored in the JSON format
- Manage graphs using SQL Server Graph Databases
- Learn about machine learning support for R and Python

Spatial SQL: A Practical Approach to Modern GIS Using SQL

by Matthew Forrest

Learn to create, index and query spatial databases using SQL that applies to PostgreSQL/PostGIS and more.

Learn how to use Spatial SQL to analyze and manipulate geographic data. This book covers everything from basic spatial queries to advanced spatial analysis techniques all using SQL. Even if you don't know how SQL, this book starts from the beginning all the way to advanced queries.

Over 500 pages covers a comprehensive set of GIS topics.

Why SQL? - The evolution to modern GIS, why spatial SQL matters, and the spatial SQL landscape today

Setting up - Installing PostGIS with Docker on any operating system

Thinking in SQL - How to move from desktop GIS to SQL and learn how to structure queries independently

The basics of SQL - Import data to PostgreSQL and PostGIS, SQL data types, and core SQL operations

Advanced SQL - Statistical functions, joins, window functions, managing data, and user-defined functions

Using the GEOMETRY - Working with GEOMETRY and GEOGRAPHY data, data manipulation, and measurements

Spatial relationships - Spatial joins, distance relationships, clustering, and overlay functions

Spatial analysis - Recreate common spatial analysis toolbox tools all in spatial SQL

Advanced analysis - Data enrichment, line of sight, kernel density estimation, and more

Raster data - Importing, analyzing, interpolating, and using H3 spatial indexes with raster data in PostGIS

Suitability analysis - Importing, analyzing, interpolating, and using H3 spatial indexes with raster data in PostGIS

Routing with pgRouting - Routing for cars and bikes, travel time isochrones, and traveling salesperson problem

Spatial data science - Spatial autocorrelation, location allocation, and create territories with PySAL in PostGIS

Written by a team of well-known PostgreSQL experts, this new edition will cover all the latest updates of PostgreSQL 16 including 12+ new and improved recipes on logging, monitoring, security and high-performance

Purchase of the print or Kindle book includes a free PDF eBook

Key Features

• Skill-up as a database administrator by achieving improved query performance, backup, and recovery management, setting up replication and so on
• Get to grips with the essentials of database management with a recipe-based approach using the latest features of PostgreSQL 16
• New and updated recipes on crucial PostgreSQL topics like Monitoring, Logging, Scalability and so on

Book Description

PostgreSQL has seen a huge increase in its customer base in the past few years and is becoming one of the go-to solutions for anyone who has a database-specific challenge. This PostgreSQL book touches on all the fundamentals of Database Administration in a problem-solution format. It is intended to be the perfect desk reference guide.

This new edition focuses on recipes based on the new PostgreSQL 16 release. The additions include handling complex batch loading scenarios with the SQL MERGE statement, security improvements, running Postgres on Kubernetes or with TPA and Ansible, and more. This edition also focuses on certain performance gains, such as query optimization, and the acceleration of specific operations, such as sort. It will help you understand roles, ensuring high availability, concurrency, and replication. It also draws your attention to aspects like validating backups, recovery, monitoring, and scaling aspects. This book will act as a one-stop solution to all your real-world database administration challenges.

By the end of this book, you will be able to manage, monitor, and replicate your PostgreSQL 16 database for efficient administration and maintenance with the best practices from experts.

What you will learn

• Discover how to improve batch data loading with the SQL MERGE statement
• Use logical replication to apply large transactions in parallel
• Improve your back up and recovery performance with server-side compression
• Tackle basic to high-end and real-world PostgreSQL challenges with practical recipes
• Monitor and fine-tune your database with ease
• Learn to navigate the newly introduced features of PostgreSQL 16
• Efficiently secure your PostgreSQL database with new and updated features

Who this book is for

This Postgres book is for database administrators, data architects, database developers, and anyone with an interest in planning and running live production databases using PostgreSQL 14. Those looking for hands-on solutions to any problem associated with PostgreSQL 14 administration will also find this book useful. Some experience with handling PostgreSQL databases will help you to make the most out of this book, however, it is a useful resource even if you are just beginning your Postgres journey

Table of Contents

1. First Steps
2. Exploring the Database
3. Server Configuration
4. Server Control
5. Tables and Data
6. Security
7. Database Administration
8. Monitoring and Diagnosis
9. Regular Maintenance
10. Performance and Concurrency
11. Backup and Recovery
12. Replication and Upgrades

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning.

Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization.

Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises.

Whether you are new to Databricks and trying to learn a new platform, a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams.

What You Will Learn

• Foundational principles of Lakehouse architecture
• Key features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live Tables
• Databricks Intelligence Platform and key functionalities
• Building and deploying GenAI Applications from data ingestion to model serving
• Databricks pricing, platform security, DBRX, and many more topics

Who This Book Is For

Solution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. This is also a handbook for senior execs who need to communicate the value of Databricks to customers. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes Fundamental Concepts including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details Implementation and Deployment, including physical design, ETL and data warehouse design methodologies. Part III covers Advanced Topics and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQLdatabase systems, and data lakes in the context of analytical data processing.

As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter.

Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style.

I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.

From the foreword by Panos Vassiliadis, University of Ioannina, Greece.

In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.

This book bridges the gap that exists between purely technical books about the blockchain and purely business-focused books. It does so by explaining both the technical concepts that make up the blockchain and their role in business-relevant applications.

What You'll Learn

• What the blockchain is
  
• Why it is needed and what problem it solves
  
• Why there is so much excitement about the blockchain and its potential
  
• Major components and their purpose
  
• How various components of the blockchain work and interact
  
• Limitations, why they exist, and what has been done to overcome them
  
• Major application scenarios

Who This Book Is For

Everyone who wants to get a general idea of what blockchain technology is, how it works, and how it will potentially change the financial system as we know it

Object-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain simply in terms of objects that play roles in relationships. All facts of interest are treated as instances of attribute-free structures known as fact types, where the relationship may be unary (e.g. Person smokes), binary (e.g. Person was born on Date), ternary (e.g. Customer bought Product on Date), or longer. Fact types facilitate natural expression, are easy to populate with examples for validation purposes, and have greater semantic stability than attribute-based structures such as those used in Entity Relationship Modeling (ER) or the Unified Modeling Language (UML).

All relevant facts, constraints and derivation rules are expressed in controlled natural language sentences that are intelligible to users in the business domain being modeled. This allows ORM data models to be validated by business domain experts who are unfamiliar with ORM's graphical notation. For the data modeler, ORM's graphical notation covers a much wider range of constraints than can be expressed in industrial ER or UML class diagrams, and thus allows rich visualization of the underlying semantics.

Suitable for both novices and experienced practitioners, this book covers the fundamentals of the ORM approach. Written in easy-to-understand language, it shows how to design an ORM model, illustrating each step with simple examples. Each chapter ends with a practical lab that discusses how to use the freeware NORMA tool to enter ORM models and use it to automatically generate verbalizations of the model and map it to a relational database.

Covers cutting-edge features like Query Store, adaptive execution plans, automated tuning in Azure.

Current with SQL Server 2017, while also covering older editions back to 2012.

Alerts you to changes in the cardinality estimation and query optimization engines that can lead to poor performance.

Describes new tooling introduced in SQL Server 2017 SQL Server Management Studio.

Fully updated to Elixir 1.15, this authoritative bestseller reveals how Elixir tackles problems of scalability, fault tolerance, and high availability.

Thousands of developers have learned to build applications in Elixir by using Sasa Juric's Elixir in Action. You'll skip the programming basics or 101 introductions; this book builds on your existing knowledge to get you quickly writing real Elixir code. Along the way, you'll develop an appreciation for, and considerable skill in, functional and concurrent programming.

Inside Elixir in Action, Third Edition you'll find:

• Updates for Elixir 1.15
• Elixir modules, functions, and type system
• Functional and concurrent programming
• Introduction to distributed system design
• Creating deployable releases

Fully updated to Elixir 1.15, this book contains new coverage of working with application configuration and the latest OTP releases. It teaches you the underlying principles and functional concepts of Elixir, and how each piece fits into the bigger picture of building production-ready systems with Elixir, Erlang, and the OTP framework.

Foreword by Francesco Cesarini.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the technology

With best-in-class fault tolerance and concurrency, a pragmatic approach to functional programming, and the power to operate at scale, Elixir is the perfect choice for mission-critical software. Start reading Elixir in Action, and you'll quickly understand why Elixir creator José Valim says it ...tops the list of Elixir books.

About the book

Elixir in Action, Third Edition teaches you how to create distributed applications and server-side systems using Elixir and the Erlang VM. This Third Edition from Elixir expert Sasa Juric is fully updated to include the latest features of Elixir 1.15. In it, you'll master the foundations of the language, discover how the OTP framework minimizes tedious boilerplate code, and explore numerous examples that ensure you're learning hands-on.

What's inside

• Elixir modules, functions, and type system
• Functional and concurrent programming
• Introduction to distributed system design
• Creating deployable releases

About the reader

For programmers comfortable with client/server applications. No experience with Elixir, Erlang, or functional programming required.

About the author

Sasa Juric uses Elixir and Erlang to build fault-tolerant, scalable, highly concurrent systems.

Technical editor on this book was Marius Butuc.

Table of Contents

PART 1 Functional Elixir
1 First steps
2 Building blocks
3 Control flow
4 Data abstractions
PART 2 CONCURRENT ELIXIR
5 Concurrency primitives
6 Generic server processes
7 Building a concurrent system
8 Fault tolerance basics
9 Isolating error effects
10 Beyond GenServer
PART 3 PRODUCTION
11 Working with components
12 Building a distributed system
13 Running the system

Information is a key to making better decisions. Author Larry Ruddell provides a holistic approach to database management for small business owners, nonprofit executives, and educators who want to answer the following questions. - How to apply database management best practices to my organization? - How to use database management to create a competitive advantage? - How to use Microsoft Access? - What does a database administrator do? - How to become a database administrator? - And more Leveraging more than ten years of experience in database management, Dr. Ruddell has created a modern database management book written in a conversational style. It will help students consider a database administrator career while at the same time providing practical principles to help small business owners communicate more effectively with IT professionals. Dr. Ruddell shows us all that database management doesn't have to be daunting. In his book, you'll learn database design principles that will help you create a plan for using information technology even when you don't have a database administrator on staff. Small business owners and nonprofit executives with limited resources will learn to take control of data and make better decisions to grow your organization. In addition, you'll feel more informed and confident talking to IT professionals while improving your database management skills to boost productivity and create a competitive advantage. Professors and teachers will get a guide that provides learners insights into database management best practices and database design principles with practical advice to help put their students on a path to a career in database administration. Dr. Ruddell is an Associate Professor in Business at Belhaven University and former Dean of Faculty at Belhaven University, Houston campus. He has honed his database management skills and principles through practical experience with four computer startups and as the founder and president of Integrated Systems and Services. He knows what it's like to work at a small company with limited resources and desires to help small business owners and nonprofit executives improve performance and create efficiencies through effective database management. He has more than ten years of experience working as a computer consultant in several capacities, including training, process analysis, database design and development, systems management, project management, and business development. He has worked for Nomos Systems, Inc. (as a founding partner), Quad S Consultants, Enron (with TCHD and OSI), and on a NASA contract with Booz, Allen & Hamilton. He is a Microsoft Certified Microsoft Access Trainer and has developed over 15 database applications, including the global training tracking system for Miami International Seminary.

Have you ever been asked to analyze data in your job but not understood what you were doing?

Now is the time to change that

In this book, you are going to learn

• The risks of data analysis
• The benefits of data analysis
• Terms you are going to use

And so much more.

So, now is the time to dive in and begin to advance your knowledge of data and how you are going to use it. In the end, you are going to be able to use it to be more efficient in your job.