Hadoop in Practice: Includes 104 Techniques
Authored by Alex Holmes, this book dives deep into practical techniques essential for understanding and utilizing Hadoop effectively. It is a must-read for professionals who want to harness the true power of Hadoop. The book is structured to guide you through a comprehensive set of tools and methods, making it perfect for both beginners and seasoned engineers looking to enhance their skill set. With its hands-on approach, readers will develop a working knowledge of Hadoop applications that ranges from data storage to analytics. Overall, it’s a fantastic resource that stands the test of time, particularly as big data continues to evolve.
Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS
Written by Sam Alapati, this book covers the intricate details of Hadoop administration, essential for those tasked with maintaining a reliable data environment. “Expert Hadoop Administration” acts as a practical guide, ensuring that administrators can effectively manage, tune, and secure their Hadoop clusters. The book outlines the operational aspects of Hadoop while providing insights into best practices that can significantly reduce downtime and enhance performance. If you aspire to be a data engineer or administrator, this comprehensive resource is invaluable.
Data Analytics with Hadoop: An Introduction for Data Scientists
For those entering the realm of data science, Benjamin Bengfort and Jenny Kim present a user-friendly introduction to data analytics using Hadoop. This book serves as a bridge for novice data scientists, guiding readers through concepts and techniques essential for analyzing big data. The approach taken by the authors demystifies Hadoop, making it accessible and practical. It not only covers foundational topics but also illustrates how to apply these concepts to real-life scenarios, making it a superb starting point for anyone keen on improving their data analytics skills.
Mastering Apache Hadoop: A Comprehensive Guide to Learn Apache Hadoop
Authored by Cybellium Ltd and Kris Hermans, this recently published guide presents a thorough understanding of Apache Hadoop. This book is written for those who are serious about mastering Hadoop, ensuring they can leverage its capabilities effectively for data processing. The authors cover a variety of topics, from installation and configuration to advanced analytics, making it ideal for both newcomers and experienced professionals. By the end of the book, readers will feel confident in their ability to utilize Hadoop to derive meaningful insights from their data.
Hadoop in Practice: Includes 85 Techniques
Another gem by Alex Holmes, this earlier edition offers a concise yet effective exploration into the practical application of Hadoop. The 85 techniques detailed within equip readers with necessary skills to navigate and leverage Hadoop for analytics. Given its approachable style and straightforward explanations, it stands out as an excellent resource for self-learners who want to get up to speed quickly. This book emphasizes hands-on learning, making it suitable for real-world application and a fantastic resource for job applicants in data-driven industries.
SQL Server 2019 Revealed: Including Big Data Clusters and Machine Learning
Bob Ward explores SQL Server’s integration with big data in this essential read for data professionals. As big data technologies become innate to database landscapes, understanding their implementation alongside traditional databases is crucial. This book not only explains new features but also provides an in-depth look at big data clusters, effectively bridging the gap between familiar SQL practices and emerging big data requirements. It is particularly useful for database administrators and developers looking to stay ahead of the curve.
深度剖析Hadoop HDFS (大数据技术丛书) (Chinese Edition)
林意群 brings you a deep dive into Hadoop’s HDFS in this Chinese edition, shedding light on its architecture and functionality. This specialized resource is invaluable for Chinese speakers keen on grasping the intricacies of Hadoop’s file system. With in-depth discussions and practical insights, it promises to enrich your understanding and application of big data technologies. A highly recommended read for those pursuing expertise in Hadoop within the Mandarin-speaking community.
Mastering Hadoop 3: Big data processing at scale to unlock unique business insights
Chanchal Singh and Manish Kumar present an advanced guide for professionals aiming to master Hadoop 3. This book covers advanced data processing strategies that unlock valuable business intelligence through Hadoop’s capabilities. It provides actionable insights and a well-rounded approach to problem-solving using Hadoop for large datasets. Readers who are ready to take their careers in data analytics to the next level will find profound value in this book, making it a significant addition to any data professional’s library.
Field Guide to Hadoop: An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies
In this engaging guide by Kevin Sitto and Marshall Presser, you’ll receive a comprehensive introduction to the Hadoop ecosystem. The authors illuminate various components that work in harmony with Hadoop, providing you a complete understanding of its functionalities. This book is crafted for those wanting a thorough overview that will empower them to integrate and utilize Hadoop effectively alongside other technologies. Perfect for beginners, it opens the door for readers seeking to expand their knowledge in big data.
Apache Hadoop 3 Quick Start Guide: Learn about big data processing and analytics
Hrishikesh Vijay Karambelkar provides an excellent and succinct starter pack for anyone looking to delve into big data processing with Apache Hadoop 3. This quick start guide is designed for speed and efficiency, allowing readers to grasp essential concepts and setup techniques that accelerate their learning curve. The book is perfect for those who are looking to quickly transition from theory to practical applications, making it an essential read for data scientists and analysts alike.
