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Praveen Kumar Sreeram, Jason Marston
Microsoft provides a solution for easily running small segments of code in the cloud with Azure Functions. The second edition of Azure Serverless Computing Cookbook starts with intermediate-level recipes on serverless computing along with some use cases demonstrating the benefits and key features of Azure Functions. You’ll explore the core aspects of Azure Functions, such as the services it provides, how you can develop and write Azure Functions, and how to monitor and troubleshoot them.As you make your way through the chapters, you’ll get practical recipes on integrating DevOps with Azure Functions, and providing continuous integration and continuous deployment with Azure DevOps. This book also provides hands-on, step-by-step tutorials based on real-world serverless use cases to guide you through configuring and setting up your serverless environments with ease. You will also learn how to build solutions for complex, real-world, workflow-based scenarios quickly and with minimal code using Durable Functions. In the concluding chapters, you will ensure enterprise-level security within your serverless environment. The most common tips and tricks that you need to be aware of when working with Azure Functions on production environments will also be covered in this book.By the end of this book, you will have all the skills required for working with serverless code architecture, providing continuous delivery to your users.
Praveen Kumar Sreeram
Microsoft provides a solution to easily run small segment of code in the Cloud with Azure Functions. Azure Functions provides solutions for processing data, integrating systems, and building simple APIs and microservices.The book starts with intermediate-level recipes on serverless computing along with some use cases on benefits and key features of Azure Functions. Then, we’ll deep dive into the core aspects of Azure Functions such as the services it provides, how you can develop and write Azure functions, and how to monitor and troubleshoot them. Moving on, you’ll get practical recipes on integrating DevOps with Azure functions, and providing continuous integration and continous deployment with Visual Studio Team Services. It also provides hands-on steps and tutorials based on real-world serverless use cases, to guide you through configuring and setting up your serverless environments with ease. Finally, you’ll see how to manage Azure functions, providing enterprise-level security and compliance to your serverless code architecture. By the end of this book, you will have all the skills required to work with serverless code architecture, providing continuous delivery to your users.
Brent Dawson
Implementing an ERP project is a daunting task, and it can often get derailed due to several reasons, including but not limited to inefficient planning, inadequate resource scoping, insufficient working knowledge of ERP systems, and more. Becoming a Dynamics 365 Finance and Supply Chain Solution Architect helps you understand the intricacies of ERP project implementation for seamless deployment.This comprehensive guide helps you gain a deep understanding of how to implement and optimize robust business applications that meet the evolving needs of organizations. You’ll discover various integration methodologies to integrate different software applications and plan successful data migration seamlessly. By leveraging the author’s expertise, you’ll explore different challenges that can lead to project failure or cost/time overruns, along with customized solutions to maneuver past those issues for a successful outcome.By the end of the book, you’ll be able to identify potential issues that can negatively impact the delivery of the project and make design decisions that will prevent any potential negative impact on the design and functionality of the system at go-live stage.
Juan Bravo Vargas, Mariano Martínez Melo, Tommy...
Meeting delivery commitments has become increasingly challenging due to evolving demands and fluctuating material availability. As a result, establishing robust systems and processes that can adapt to this dynamic environment has become a necessity. With Becoming a Dynamics 365 Supply Chain Management Functional Consultant Associate, you’ll understand how to initiate and implement effective supply chain management processes.This book begins with an overview of the processes and modules within Dynamics 365 and then delves into real-life case studies involving procurement, sales, and quality assurance. You’ll explore more advanced tools and core processes, such as warehouse and transportation management, which allows you to define storage flows and shipping controls. You’ll also learn about the various tools available to define solutions and discover how to work within the Dynamics 365 Supply Chain Management platform. The last set of chapters will take you through the planning techniques and considerations to schedule and control all supply process flows seamlessly.By the end of this book, you’ll not only be well-prepared to obtain your certification as a Microsoft Dynamics 365 Supply Chain Management Functional Consultant Associate but also be equipped to solidify your expertise and pursue exciting career opportunities.
Big Data Analytics. Real time analytics using Apache Spark and Hadoop
Venkat Ankam, Aravind Nallan
Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data.
Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
RAJAT MEHTA
This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset.This book is an end-to-end guide to implement analytics on big data withJava. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into twosections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analyticson big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naïve Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networkson big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.
Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS
David Pope, Subhashini S Tripathi
SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one’s career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data.The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS’s architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R. By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS.
Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
Dalong Chen, James D. Miller
Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics