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Building a Scalable Data Warehouse with Data Vault 2.0

Building a Scalable Data Warehouse with Data Vault 2.0

by Daniel Linstedt, Michael Olschimke
684 Pages · 2015 · 51 MB · 0 Downloads · New!
" Happiness doesn't result from what we get, but from what we give. ” ― Ben Carson
Practical Time Series Analysis
by Aileen Nielsen
504 Pages · 2019 · 12 MB · 3,377 Downloads · New!
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
by Alex Petrov
376 Pages · 2019 · 15  MB · 3 Downloads · New!
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.
Filemaker Pro 6 Developer’s Guide to XML/XSL
by Beverly Voth
400 Pages · 2015 · 2 MB · 0 Downloads · New!
The “Filemaker Pro 6 Developer’s Guide to XML/XSL (Wordware Library for Filemaker)” is a wonderful programming book for all the computer science students. Beverly Voth is the author of this book. Beverly Voth established herself as an XML and web publishing guru in the world of Filemaker development. Filemaker Pro 6 Developer’s Guide to XML/XSL is targeted for experienced Filemaker developers and does an excellent job of presenting the information for easy assimilation and practical application. Beverly’s book is well researched has a firm grasp of the FileMaker XML grammars and provides lots of examples that make it easy for a developer to adopt this technology. Additionally, Filemaker Pro 6 Developer’s Guide to XML/XSL has a great resource for FileMaker developers who want to learn new technologies, such as XML, XSL, XHTML, etc. This book is well written and well organized and has a good index and table of contents. So, it will engage all the reader from start to end of the page. All in all, Filemaker Pro 6 Developer’s Guide to XML/XSL is a great guide for all FileMaker Pro developers, who are interested in working with XML.
Learning Elastic Stack 7.0
by Pranav Shukla, Sharath Kumar
474 Pages · 2015 · 19 MB · 0 Downloads · New!
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
by Alex Gorelik
224 Pages · 2015 · 8 MB · 0 Downloads · New!
“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.
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
272 Pages · 2015 · 18 MB · 4,496 Downloads · New!
The “Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python” is a great book for those who want to use Convolutional Neural Networks for solving real-world problems. Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, and Leonardo Araujo are the authors of this great book. Convolutional Neural Networks are the most popular architectures used in computer vision apps. This book will guide the readers on how to train machine learning models with TensorFlow.