The “Practical Time Series Analysis: Prediction with Statistics and Machine Learning, 1st Edition” is an enlightening book for all computer science students. Aileen Nielsen is the author of this great book. Aileen has worked in corporate law, physics research labs, and a variety of NYC tech startups. Her interests range from defensive software engineering to UX designs for reducing cognitive load to the interplay between law and technology. She is a frequent speaker at machine learning conferences on both technical and sociological subjects.

Database Internals is the desktop database, management information system and data warehouse book which tells engineers how to choose, use and update the database. Alex Petrov is the author of this tremendous book. There are plenty of database systems available on the internet and the majority of them are easy to pick. The main feature today people wanted is backup and security. Today, companies spend millions of dollar yearly on their security. Alex wrote this guide after searching for books, blog posts, papers, and different open-source platforms. He explained each and everything that you need to know about the database and things. What are the storage engines, discover the difference between taxonomy and classification. Learn the main functionality of log-structured storage engines and how it changes in a different situation. Discover, how database files are organized and managed in an efficient way. What are the techniques that are necessary to make your database secure? Learn the different processes of nodes and how these nodes help to form a complex database in the easiest way. What is data mining and why data is the first priority to make any decision? Today, big companies hired the data scientist who helps the companies on the basis of past trends. This is a comprehensive book for all those who wanted the latest knowledge about databases.

The “Learning Elastic Stack 7.0: Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana, 2nd Edition” in an enlightening book that provides new features and update introduction of Elastic Stack 7.0. Pranav Shukla and Sharath Kumar are the authors of this book. Pranav Shukla is the founder and CEO of Valens DataLabs. He is a big data architect and software craftsman who uses JVM-based languages. Elastic Stack is a powerful combination of tools for techniques like analytics, logging, and visualization of data. Elastic Stack 7.0 comes with new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book also helps you to understand how to set up the stack by installing tools and exploring their basic configurations. Learning Elastic Stack is for entry-level data professionals, like full-stack developers, software engineers who want to learn about Elastic stack and how the real-time processing and search engine works for business works. To sum it up, Learning Elastic Stack 7.0 is a must-read book for all the developers.

“The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science 1st Edition” is a great read for anyone either planning on building a data lake for the first time or struggling to derive value from a data lake that’s already been implemented. Alex Gorelik is the author of this book. It draws on best practices from the world’s leading big data companies and enterprises, with essays and success stories from hands-on practitioners and industry experts to provide a comprehensive guide to architecting and deploying a successful big data lake.

The “Building a Scalable Data Warehouse with Data Vault 2.0 1st Edition” is a very comprehensive and readable book explaining the ins and outs of the Data Vault methodology and modelling. Daniel Linstedt and Michael Olschimke are the authors of this book. This is a very comprehensive and readable book for understanding the core concepts of Data Warehouse. This book covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modelling technique, which provides the foundations to create a technical data warehouse layer. Click on the button given below to Download Building a Scalable Data Warehouse with Data Vault 2.0 by Daniel book free. You can also Download Beginning Xamarin Development for the Mac by Dawid Borycki PDF.