Best Big Data & Data Analytics Books
Big data is being generated by everything around us at each and every moment and arriving from multiple sources at an alarming volume, velocity, and variety. To extract meaningful value from big data, you need excellent analytical capabilities and skills. To achieve these qualities, you must follow the best guidelines, and what is better than books? So, here I have listed some best books on Big Data for you.
Big Data is the first major book on this very important subject, with two leading specialists in the field explaining what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards.
What you'll you learn:
- A deep insight into the present situation of big data
- How to find the correlation between a huge amount of data
- To remove the noises from a dataset
- Extract the values from raw data
- You'll learn to implicate a huge dataset
- How to risk analysis and control your big data.
All of us are touched by big data at each and every day, and its impact is multiplying every time. Everybody Lies makes us think differently about how we see it and the world. It offers fascinating, surprising, and sometimes mind-blowing insights into everything from ethics to economics to race to sex, gender and more, all drawn from the world of big data.
You'll know about:
- What percentage of white voters didn’t vote for Barack Obama because he’s black?
- Does where you go to school affect how successful you are in life?
- Do parents secretly favor boy children more than girls?
- Do violent films increase the crime rate?
- Can you beat the stock market?
- How often do we lie about our sex lives and who’s more self-conscious about sex, men or women?
Examining these questions and a host of others, the author suggests revelations that can make us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in interesting and often humorous ways the extent to which all the world is indeed a lab.
Big Data guides you through building big data systems applying an architecture designed exactly to capture and analyze web-scale data. This book offers the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll learn the theory of big data systems and how to implement them in practice. Besides discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL database
To understand this book, no prior exposure to large-scale data analysis or NoSQL tools is required. Though familiarity with traditional databases is helpful.
What you will learn:
- Fundamentals of big data systems
- Real-time processing of web-scale data
- Effective data model for Big Data
- Using tools like Hadoop, Cassandra, and Storm
- The Lambda Architecture in depth
- Extensions to traditional database skills
This practical and comprehensive book helps you manage the diverse landscape of big data by exploring the pros and cons of various technologies for processing and storing data. Technology keeps changing, but the fundamental principles remain the same. With this guide, software engineers and architects can learn how to apply those ideas in practice, and how to make full use of data in modern applications.
What you'll learn:
- How to manage and operate the system you already use more effectively
- Making the right decisions by identifying the strengths and weaknesses of different tools
- Everything about consistency, scalability, fault tolerance, and complexity
- The distributed systems research upon which modern databases are built
- Peek behind the scenes of major online services, and learn from their architectures
The Big Data Now is a book for everyone who creates, collects or relies on data. It's not just a technical book or a business guide. It clearly demonstrates what happens when big data grows up, how it's being applied, where it's playing a role and the consequences -- good and bad alike -- of data's ascendance.
What you'll learn:
- Fundamental information on the structures and definitions of big data.
- Expert guidance for turning big data theories into big data products.
- Examples of big data in action, including a look at the downside of data.
- How big data will evolve and the role it will play across industries and domains.
- Exploring the possibilities that arise when data and health care come together.
Big Data can be a complex concept. For Dummies to the rescue, here's a plain English explanation of what big data is, the technologies and database option supporting it, analytics that helps you get meaning out of data. And what it can do for your company.
What you'll learn:
- A clear definition of big data
- Profiles of various available technologies
- The role of the cloud
- How map reduces aids big data management
- Why Hadoop is so important
- Some specific uses for text analysis
- How to approach bis data security and privacy
- Ten best practices for managing big data
After twenty consecutive seasons with no wins for the Pittsburgh Pirates, team morale was doomed, the club’s payroll ranked near the bottom of the sport, game attendance was falling, and the city was becoming increasingly disenchanted with its team.
Big Data Baseball is the tale of how the 2013 Pirates, holding the record for the longest losing streak in North American pro sports history, adopted substantial big-data strategies to end the drought, make the playoffs, and turn around the franchise’s fortunes. From pitch framing to on-field shifts, this entertaining and enlightening underdog story closely studies baseball’s burgeoning big data movement and illustrates how the millions of data points which aren’t immediately visible to players and spectators, are the bit of magic that led the Pirates to finish the 2013 season in second place and brought an end to a twenty-year losing streak.
We live in the age of the big data. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by analytical models. In theory, this should lead to greater balance: Everyone is judged according to the same rules, without any biasing.
But as Cathy O’Neil exposes in this important and necessary book, the opposite is true. The models being used today are not transparent, regulated and contestable, even when they’re wrong. Tracing the curve of a person’s life, O’Neil exposes the black box models that shape our future, both as individuals and as a society.
What you'll learn:
- How to sort resumes
- Learn about grant (or deny) loans
- To reach your target voters
- To evaluate your workers
- You'll know to set parole in your application
- How to monitor your health
Everything analyzing the big data.
You are giving away data every day. But have you given up more than you've gained? In this book, you will find the best path that values both your security and privacy. Covering the latest developments, security expert Bruce Schneier (the author) shows exactly what you can do to reform government surveillance programs, shake up surveillance-based business models, and protect your individual privacy.
What you'll learn:
- Part I-- What big data is and why every corporation, as well as the government, collects and analyze our data
- Part II-- The things you're losing-- your political liberty and justice, commercial fairness and equity, business competitiveness, your privacy and security
- Part III-- The principles and solutions for individuals as well as the corporations and government need to adapt to keep up the security and privacy