Acknowledgments

The authors would like to give special recognition to:

Nancy Davis, Executive Editor. Thank you so much for giving me the opportunity to write and anchor this book in my core subject area, data and analytics. You were very supportive throughout the journey and process!

Chris Cleveland, Development Editor. Thanks for shaping this book to the best version. It was great working with you, and I look forward to more collaborations with you!

Lewis Heuermann, Technical Editor. Thanks for your detailed feedback and ideas to make the book’s content crisp and clear!

Akhil Behl, Co-Author and Friend. Thanks for having confidence in me and asking me to author this excellent book!

Also, I’d like to thank the Pearson Production and Editorial Team. Without you all, this book wouldn’t have made it to the printer and gotten published. This is my first experience with Pearson, and CompTIA Data+ Exam Cram was a very demanding and challenging project! Thanks to the complete team!

Going beyond the people directly involved in this book, I’d also like to thank:

I’m forever indebited for the support, guidance, and love from my family—my grandfather Shri Madan Mohan Behl, my grandmother Smt Santosh Behl, my father Shri Ravi Kumar Behl, my mother Smt Vijay Behl, my spouse Kanika Behl, and my kids Shivansh and Shaurya Behl. You complete me and are my world!

And a special thank you to the many readers. I hope this book helps you not just ace the exam but gives you a glimpse of the possibilities of the applications of data in real life. My hope is that this book will give you a head start in the world of data!

—Akhil Behl

Going beyond the people directly involved in this book, I’d also like to thank people involved in my personal and professional life:

A very special thank you to the all the book readers in the world. The goal in writing this book was to explain the basics of data and analytics. This book will surely help you to pass your exam and become a data and analytics professional in your career. It will give you an accelerated start to the universe of data and analytics!

—Siva G. Subramanian