General

Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. About This Book * Get up and running with the...

Learn data analysis essentials and prepare for the Data+ exam with this CompTIA exam guide, complete with practice exams towards the endKey FeaturesApply simple methods of data analysis and find out when and how to apply more complicated onesTake...

Get to grips with the most popular Python packages that make data analysis possible About This Book * Explore the tools you need to become a data analyst * Discover practical examples to help you grasp data processing concepts * Walk through...

Start deploying, managing, and scaling containerized applications into AWS container infrastructure using Docker on Amazon EC2, Amazon Elastic Container Service (ECS), and AWS Elastic Kubernetes Service (EKS). This step by step practical book will cover...

Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five...

Discover the best practices for transforming cloud and infrastructure operations by using Agile, Scrum, Kanban, Scrumban and Spotify models. This book will help you gain an in-depth understanding of these processes so that you can apply them to your own...

This textbook introduces graph algorithms on an intuitive basis followed by a detailed exposition using structured pseudocode, with correctness proofs as well as worst-case analyses. Graph algorithms is a well-established subject in mathematics and...

A quick start guide to visualize your Elasticsearch data Key Features Your hands-on guide to visualizing the Elasticsearch data as well as navigating the Elastic stack Work with different Kibana plugins and create effective machine learning jobs using...

As featured on CNN, Forbes and Inc - BookAuthority identifies and rates the best books in the world, based on recommendations by the world's most successful business leaders and experts. Winning the spot of #19 out of 26 on the 2020 Bookauthority Best...

Use Microsoft SQL Server 2019 to implement, administer, and secure a robust database solution that is disaster-proof and highly availableKey FeaturesExplore new features of SQL Server 2019 to set up, administer, and maintain your database solution...

Enterprise Architecture (EA) frameworks such as TOGAF and Zachman are still valid, but enterprise architects also need to adapt to the new reality of agile, DevOps, and overall disruption through digital transformation. This book will help do just that. ...

Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scaleKey FeaturesDiscover how to convert huge amounts of raw data into meaningful and actionable insightsUse Spark's unified analytics...

Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter NotebookKey FeaturesFind out how to use Python code to extract insights from data using real-world examplesWork with structured data and free...

Manage different business scenarios with the right machine learning technique using Google's highly scalable BigQuery MLKey FeaturesGain a clear understanding of AI and machine learning services on GCP, learn when to use these, and find out how to...

An award-winning math popularizer, who has advised the US Olympic Committee, NFL, and NBA, offers sports fans a new way to understand truly improbable feats in their favorite games. In 2013, NBA point guard Steph Curry wowed crowds when he sunk 11 out...

Leverage Splunk's operational intelligence capabilities to unlock new hidden business insights and drive success About This Book * Tackle any problems related to searching and analyzing your data with Splunk * Get the latest information and...

Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications. About This Book * Handle a variety of machine learning tasks effortlessly by leveraging the power of scikit-learn * Perform supervised and...

Automate the process of building, training, and deploying machine learning applications to production using AWS solutions such as SageMaker Autopilot, AutoGluon, Step Functions, Amazon Managed Workflows for Apache Airflow, and more Key Features * Explore...

One of the hardest tasks strategists and enterprise architects face is mapping an enterprise in a form that creates and supports making sense of the whole. This book introduces an alternate approach to create consistency at every level by modelling the...

Get well-versed with traditional as well as modern natural language processing concepts and techniquesKey FeaturesPerform various NLP tasks to build linguistic applications using Python librariesUnderstand, analyze, and generate text to provide accurate...

This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are...

Get started developing on the Force.com platform in no time. With step-by-step guidance, starting with setting up your developer environment and progressing through to deploying to production, you will learn industry best practices to release robust...

Gain useful insights from your data using popular data science toolsKey FeaturesA one-stop guide to Python libraries such as pandas and NumPyComprehensive coverage of data science operations such as data cleaning and data manipulationChoose scalable...

In this book, Edosa explores common challenges which limit the value that organisations can get from data. What makes his book unique is that he also tackles one of the unspoken barriers to data adoption-fear. Fear of the unknown, fear of the intangible,...

This text attempts to change the way we teach logic to beginning students. Instead of teaching logic as a subject in isolation, we regard it as a basic tool and show how to use it. We strive to give students a skill in the propo sitional and predicate...

Gain hands-on experience in building efficient and scalable big data architecture on Kubernetes, utilizing leading technologies such as Spark, Airflow, Kafka, and Trino Key Features Leverage Kubernetes in a cloud environment to integrate...

Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools...

About This BookWork with Julia in a multi-core, distributed, and networked environmentLearn the techniques to create blazingly fast programs with JuliaThe book walks you through various practical examples to get to grips with JuliaWho This Book Is...

Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights from your dataKey FeaturesIntegrate machine learning with distributed search and analyticsPreprocess and analyze...

Integrate open source data analytics and build business intelligence on SQL databases with Apache Superset. The quick, intuitive nature for data visualization in a web application makes it easy for creating interactive dashboards.Key FeaturesWork with...

Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. About This Book * Leverage the Jupyter Notebook for interactive data science and visualization * Become an expert in high-performance computing and...

The second edition of this book has been fully updated to show how the DevOps way of working has continued to adapt to changing technologies. The ITIL processes which were an integral part of the DevOps world have been merged with the DevOps framework,...

This book contains a framework for productive discussion and thinking about ethics and Big Data in business environments. With the increasing size and scope of information that Big Data technologies can provide business, maintaining an ethical practice...

Publisher's Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20. Key Features * Use the power of pandas 0.20 to solve most...

An expert introduction More than 85% of businesses now take advantage of Cloud computing, but Cloud computing does not sit easily with the DPA. Data Protection and the Cloud addresses that issue, providing an expert introduction to the legal and...

Discover the power of Drools 6 and Business Rules for developing complex scenarios in your applications About This Book * Implement and model different rules using the DRL full syntax * Model complex business decisions and domain models in order...

This textbook is a first introduction to mathematics for music theorists, covering basic topics such as sets and functions, universal properties, numbers and recursion, graphs, groups, rings, matrices and modules, continuity, calculus, and gestures. It...

A hands-on guide to working on use cases helping you ingest, analyze, and serve insightful data from IoT as well as telemetry data sources using Azure Synapse Data ExplorerFree PDF included with this bookKey FeaturesAugment advanced analytics projects...

Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you're a developer or data scientist new to NLP and deep learning,...

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how...