Data Modeling & Design

Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book...

Build and deploy data pipelines with Alteryx by applying practical DataOps principlesKey FeaturesLearn DataOps principles to build data pipelines with AlteryxBuild robust data pipelines with Alteryx DesignerUse Alteryx Server and Alteryx Connect to share...

Used by more than 80% of Fortune 100 companies, Apache Kafka has become the de facto event streaming platform. Kafka Connect is a key component of Kafka that lets you flow data between your existing systems and Kafka to process data in real time. With...

Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your dataKey FeaturesLearn to ingest, prepare, manage, and serve data for immediate business requirementsBring enterprise data warehousing and big data...

Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guideKey FeaturesLearn to create a digital prototype of a real model using hands-on examplesEvaluate...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781935504023Author Susan EarleyFormat PaperbackPage Count 406Imprint Technics Publications LLCPublisher Technics Publications LLCWeight(grams) 1232g

Go beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to...

Build end-to-end and reproducible feature engineering pipelines that can be deployed into production using open source Python libraries Key Features * Build end-to-end feature engineering pipelines that are performant and reproducible * Learn and...

If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and...

Your domain is rich and interconnected, and your API should be too. Upgrade your web API to GraphQL, leveraging its flexible queries to empower your users, and its declarative structure to simplify your code. Absinthe is the GraphQL toolkit for Elixir, a...

Implement, run, operate, and test data processing pipelines using Apache BeamKey FeaturesUnderstand how to improve usability and productivity when implementing Beam pipelinesLearn how to use stateful processing to implement complex use cases using Apache...

"In what is certain to be a seminal work on metadata, John Horodyski masterfully affirms the value of metadata while providing practical examples of its role in our personal and professional lives. He does more than tell us that metadata matters-he...

Create dynamic dashboards to perform interactive analytics for business intelligence operations Key Features Explore newly added features in Qlik Sense Discover best practices to work with data using Qlik Sense Learn to implement advanced functions for...

DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed 'bystander' status as we've attempted to digitize responsibility and morality in tech. In fact, data's importance should...

Mikhail Zhilkin, a data scientist who has worked on projects ranging from Candy Crush games to Premier League football players' physical performance, shares his strong views on some of the best and, more importantly, worst practices in data analytics and...

A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming languageKey FeaturesCreate, deploy, productionalize, and scale automated...

Microsoft Excel is a powerful tool that can transform the way you use data. This book explains in comprehensive and user-friendly detail how to manage, make sense of, explore and share data, giving scientists at all levels the skills they need to...

Save time analyzing volumes of data using best practices to extract, model, and create insights from your dataKey FeaturesMaster best practices in data modeling with Tableau Prep Builder and Tableau DesktopApply Tableau Server and Cloud to create and...

Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir,...

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging - and beautiful - working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging...

Develop robust data pipelines, deploy mature machine learning models, and build secure data apps with Snowpark using Python Key Features Get to grips with Snowpark’s basic and advanced features Implement workloads in domains like data engineering, data...

This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics.Written in an easy-to-understand conversational style,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781615470532Author Matt AllingtonFormat PaperbackPage Count 186Imprint Holy Macro! BooksPublisher Holy Macro! Books

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781935504245Author Norman DaoustFormat PaperbackPage Count 268Imprint Technics Publications LLCPublisher Technics Publications LLCWeight(grams) 654g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781634629133Author Graham WittFormat PaperbackPage Count 304Imprint Technics Publications LLCPublisher Technics Publications LLC

Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data using Python programming Key Features * Work your way through the entire data analysis pipeline with statistics...

Over 90 recipes to help data scientists and AI engineers orchestrate modern ETL/ELT workflows and perform analytics using Azure services more easily Key Features * Discover how to work with different SQL and NoSQL data stores in Microsoft Azure * Create...

Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandasKey FeaturesUnderstand the fundamental concepts of exploratory data analysis using PythonFind missing values in your data and identify the correlation...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781634628440Author Jeff HarrisFormat PaperbackPage Count 526Imprint Technics Publications LLCPublisher Technics Publications LLCWeight(grams) 1470g

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries Key Features Discover solutions for feature generation, feature extraction, and feature selection Uncover the...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781935504054Author David C HayFormat HardbackPage Count 550Imprint Technics Publications LLCPublisher Technics Publications LLCWeight(grams) 1354g

Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysisPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExplore...

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with...

Leverage your source data from hundreds of different connections, perform millions of different transformations, and easily manage highly complex data lifecycles with Power QueryKey FeaturesCollect, combine, and transform data using Power Query's data...

A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication...

In a corporate setting, the Microsoft Office Suite is an invaluable set of applications. One of Offices' biggest advantages is that its applications can work together to share information, produce reports, and so on. The problem is, there isn't much...

Build, scale, and secure production-ready machine learning systems and pipelines on AWS addressing the key pain points encountered in the ML life cycle Key Features * Gain practical knowledge managing ML workloads on AWS using Amazon SageMaker, Amazon...

Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python...

Soup up text processing with latest techniques in natural language processing in python. Key Features * Learn how to extract word embeddings representation. * Learn how to use the Random Forest and the Decision Trees algorithms. * Learn how to apply...

Design patterns for the MapReduce framework, until now, have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless...