Biznes IT
Renato Baruti
Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx’s features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx’s self-service analytics features, this book will be the perfect companion for you.
Chandramani Tiwary, Chandramani Tiwary
Mikael Krief
The implementation of DevOps processes requires the efficient use of various tools, and the choice of these tools is crucial for the sustainability of projects and collaboration between development (Dev) and operations (Ops). This book presents the different patterns and tools that you can use to provision and configure an infrastructure in the cloud. You'll begin by understanding DevOps culture, the application of DevOps in cloud infrastructure, provisioning with Terraform, configuration with Ansible, and image building with Packer. You'll then be taken through source code versioning with Git and the construction of a DevOps CI/CD pipeline using Jenkins, GitLab CI, and Azure Pipelines. This DevOps handbook will also guide you in containerizing and deploying your applications with Docker and Kubernetes. You'll learn how to reduce deployment downtime with blue-green deployment and the feature flags technique, and study DevOps practices for open source projects. Finally, you'll grasp some best practices for reducing the overall application lead time to ensure faster time to market. By the end of this book, you'll have built a solid foundation in DevOps, and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques
Learning Einstein Analytics. Unlock critical insights with Salesforce Einstein Analytics
Santosh Tukaram Chitalkar
Salesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users.This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way.
Pranav Shukla, Sharath Kumar
The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications.After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments.On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems.
Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
Thirukkumaran Haridass, Eric Brown
Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data.You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you.This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems.
Rahul Malewar
Informatica PowerCenter is an industry-leading ETL tool, known for its accelerated data extraction, transformation, and data management strategies. This book will be your quick guide to exploring Informatica PowerCenter’s powerful features such as working on sources, targets, transformations, performance optimization, scheduling, deploying for processing, and managing your data at speed. First, you’ll learn how to install and configure tools. You will learn to implement various data warehouse and ETL concepts, and use PowerCenter 10.x components to build mappings, tasks, workflows, and so on. You will come across features such as transformations, SCD, XML processing, partitioning, constraint-based loading, Incremental aggregation, and many more. Moreover, you’ll also learn to deliver powerful visualizations for data profiling using the advanced monitoring dashboard functionality offered by the new version. Using data transformation technique, performance tuning, and the many new advanced features, this book will help you understand and process data for training or production purposes. The step-by-step approach and adoption of real-time scenarios will guide you through effectively accessing all core functionalities offered by Informatica PowerCenter version 10.x.
Learning Microsoft Cognitive Services. Click here to enter text
Leif Larsen
Take your app development to the next level with Learning Microsoft Cognitive Services. Using Leif's knowledge of each of the powerful APIs, you'll learn how to create smarter apps with more human-like capabilities. ? Discover what each API has to offer and learn how to add it to your app ? Study each AI using theory and practical examples ? Learn current API best practices
Learning Microsoft Cognitive Services. Click here to enter text
Leif Larsen
Take your app development to the next level with Learning Microsoft Cognitive Services. Using Leif's knowledge of each of the powerful APIs, you'll learn how to create smarter apps with more human-like capabilities. ? Discover what each API has to offer and learn how to add it to your app ? Study each AI using theory and practical examples ? Learn current API best practices
Leif Larsen
Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps.This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see how the power of these APIs can be combined to build real-world apps that have cognitive capabilities. The book is split into three sections: computer vision, speech recognition and language processing, and knowledge and search.You will be taken through the vision APIs at first as this is very visual, and not too complex. The next part revolves around speech and language, which are somewhat connected. The last part is about adding real-world intelligence to apps by connecting them to Knowledge and Search APIs.By the end of this book, you will be in a position to understand what Microsoft Cognitive Service can offer and how to use the different APIs.
Leif Larsen
Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps.This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see how the power of these APIs can be combined to build real-world apps that have cognitive capabilities. The book is split into three sections: computer vision, speech recognition and language processing, and knowledge and search.You will be taken through the vision APIs at first as this is very visual, and not too complex. The next part revolves around speech and language, which are somewhat connected. The last part is about adding real-world intelligence to apps by connecting them to Knowledge and Search APIs.By the end of this book, you will be in a position to understand what Microsoft Cognitive Service can offer and how to use the different APIs.
Leif Larsen
Microsoft Cognitive Services is a set of APIs for integrating artificial intelligence in your applications to solve logical business problems. If you’re new to developing applications with AI, Learning Microsoft Cognitive Services will give you a comprehensive introduction to Microsoft’s AI stack and get you up-to-speed in no time.The book introduces you to 24 APIs, including Emotion, Language, Vision, Speech, Knowledge, and Search. Using Visual Studio, you can develop applications with enhanced capabilities for image processing, speech recognition, text processing, and much more. Moving forward, you will work with datasets that enable your applications to process various data in the form of image, video, or text.By the end of the book, you’ll be able to confidently explore Cognitive Services APIs for building intelligent applications that can be deployed for real-world business uses.
Srikanth Shirodkar
Microsoft Project is one of the most popular project management tools for enterprises of all sizes thanks to its wide variety of features such as project scheduling, project budgeting, built-in templates, and reporting tools. Learning Microsoft Project 2019 will get you started with the basics and gradually guide you through the complete project life cycle.Starting with an overview of Microsoft Project 2019 and a brief introduction to project management concepts, this book will take you through the different phases of project management – initiation, planning, execution, control, and closure. You will then learn how to identify and handle problems related to scheduling, costing, resourcing, and work allocation. Understand how to use dynamic reports to create powerful, automated reports and dashboards at the click of a button. This Microsoft Project book highlights the pitfalls of overallocation and demonstrates how to avoid and resolve these issues using a wide spectrum of tools, techniques, and best practices. Finally, you will focus on executing Agile projects efficiently and get to grips with using Kanban and Scrum features.By the end of this book, you will be well-versed with Microsoft Project and have the skills you need to use it effectively in every stage of project management.
Jerome Baton, Rik Van Bruggen
Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j.Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data.Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases.
Dan Keeley, Diethard Steiner, María Carina Roldán,...
Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag-and-drop design and powerful Extract-Tranform-Load (ETL) capabilities. This book shows and explains the new interactive features of Spoon, the revamped look and feel, and the newest features of the tool including transformations and jobs Executors and the invaluable Metadata Injection capability.We begin with the installation of PDI software and then move on to cover all the key PDI concepts. Each of the chapter introduces new features, enabling you to gradually get practicing with the tool. First, you will learn to do all kind of data manipulation and work with simple plain files. Then, the book teaches you how you can work with relational databases inside PDI. Moreover, you will be given a primer on data warehouse concepts and you will learn how to load data in a data warehouse. During the course of this book, you will be familiarized with its intuitive, graphical and drag-and-drop design environment.By the end of this book, you will learn everything you need to know in order to meet your data manipulation requirements. Besides, your will be given best practices and advises for designing and deploying your projects.
Salahaldin Juba, Andrey Volkov, Salahaldin Juba
PostgreSQL is one of the most popular open source databases in the world, supporting the most advanced features included in SQL standards. This book will familiarize you with the latest features released in PostgreSQL 10.We’ll start with a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We’ll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You’ll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects. Moving on, we’ll cover the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. We’ll also explore the NoSQL capabilities of PostgreSQL and connect to your PostgreSQL database to manipulate data objects.By the end of this book, you’ll have a thorough understanding of the basics of PostgreSQL 10 and will have the necessary skills to build efficient database solutions.
Dr. Param Jeet, PRASHANT VATS
The role of a quantitative analyst is very challenging, yet lucrative, so there is a lot of competition for the role in top-tier organizations and investment banks. This book is your go-to resource if you want to equip yourself with the skills required to tackle any real-world problem in quantitative finance using the popular R programming language.You'll start by getting an understanding of the basics of R and its relevance in the field of quantitative finance. Once you've built this foundation, we'll dive into the practicalities of building financialmodels in R. This will help you have a fair understanding of the topics as well as their implementation, as the authors have presented some use cases along with examples that are easy to understand and correlate.We'll also look at risk management and optimization techniques for algorithmic trading. Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedging.By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in R.
David Lai, Riaz Ahmed
The book starts with the basics of SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) and exposes almost every significant feature a beginner needs to master. Packed with illustrations and short, essential, to-the-point descriptions, the book provides a unique learning experience. Your journey of exploration starts with a basic introduction to the SAP Analytics Cloud platform. You will then learn about different segments of the product, such as Models, Stories, Digital Boardroom, and so on. Then, you are introduced to the product's interface: the Home screen, the main menu, and more. Then comes the hands-on aspect of the book, which starts with model creation. Next, you learn how to utilize a model to prepare different types of stories(reports) with the help of charts, tables, Geo Maps, and more. In the final chapters of this book, you will learn about Digital Boardroom, Collaboration, and Administration.
Erik Christensen, Francisco Javier Blanco-Silva, Sergio J...
Dipanjan Sarkar, Karthik Ganapathy, Raghav Bali, Tushar...
The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how analytics can be leveraged to derive insights from it. This data can be analyzed to gain valuable insights into the behavior and engagement of users, organizations, businesses, and brands. It will help readers frame business problems and solve them using social data.The book will also cover several practical real-world use cases on social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text summarization, recommendation systems, social network analysis, classification, and clustering. This will enable readers to learn different hands-on approaches to obtain data from diverse social media sources such as Twitter and Facebook. It will also show readers how to establish detailed workflows to process, visualize, and analyze data to transform social data into actionable insights.
Learning Spark SQL. Architect streaming analytics and machine learning solutions
Aurobindo Sarkar
In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems.This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL.It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help you understand the methods used to implement typical use-cases for various types of applications. You will get a walkthrough of the key concepts and terms that are common to streaming, machine learning, and graph applications. You will also learn key performance-tuning details including Cost Based Optimization (Spark 2.2) in Spark SQL applications. Finally, you will move on to learning how such systems are architected and deployed for a successful delivery of your project.
Legendarny osobomiesiąc. Opowieści o inżynierii oprogramowania. Wydanie II
Frederick P. Brooks Jr.
Rocznicowe wydanie kultowej książki o zarządzaniu projektami w IT - to już 20 lat obecności na rynku i setki tysięcy sprzedanych egzemplarzy na świecie! Zarządzanie procesem tworzenia oprogramowania bywa doświadczeniem bardzo pouczającym, a jednocześnie niezwykle frustrującym. Z jednej strony takie projekty są podobne do innych dużych przedsięwzięć, z drugiej - wymagają od kierownictwa sporo specjalistycznej wiedzy i specyficznego podejścia do zagadnień programistycznych. Oczywiście, wiedza na ten temat stale rośnie, pojawiają się też nowe koncepcje kierowania dużymi projektami. Jeśli brakuje Ci literatury, która potraktowałaby to zagadnienie kompleksowo, katalogowałaby poszczególne propozycje i opisywałaby je w przystępny i przydatny sposób - sięgnij po ten tytuł! Książka Legendarny osobomiesiąc zyskała już miano kultowej; jest niezmiennie aktualna i wciąż inspiruje programistów na całym świecie. Składa się z kilkunastu esejów, które zawierają informacje i inspiracje bezcenne dla każdego menedżera i programisty. Przy dużych projektach konieczne jest zachowanie ich spójności koncepcyjnej, co w przypadku dużych zadań stanowi warunek dość trudny do spełnienia, dlatego wiele obiecujących przedsięwzięć zakończyło się porażką. Trzeba też zdawać sobie sprawę, że złożone zadanie oznacza dla zespołu dobre i złe chwile. Autor w niezwykle interesujący i praktyczny sposób pokazuje, jak czerpać siły z chwil radości i skutecznie radzić sobie z problemami, aby zakończyć z sukcesem nawet najbardziej złożony projekt programistyczny. W tej książce znalazły się koncepcje obejmujące między innymi: podejmowanie decyzji zadania architekta skalowanie i zachowanie spójności projektu sporządzanie dokumentacji i specyfikacji zarządzanie komunikacją w wielkich projektach A także: retrospektywna analiza tych i innych koncepcji sprzed 20 lat Nie ma drugiej tak wpływowej i ponadczasowej książki dla twórców oprogramowania!
Jarrod Anderson
Nowoczesne organizacje muszą używać sztucznej inteligencji, aby realizować cele strategiczne i wprowadzać innowacje. W świecie napędzanym przez AI przetrwanie i rozwój wymagają inteligentnych systemów, modeli wspierających kluczowe decyzje i przełomowych aplikacji. Wizjonerskie przywództwo jednak powinno się harmonijnie łączyć z praktyką codziennego działania firmy. Ten podręcznik na nowo definiuje rolę lidera do spraw sztucznej inteligencji w środowisku, w którym używa się predykcyjnej, deterministycznej, generatywnej i agentowej AI do rozwiązywania złożonych problemów i wspierania innowacyjności. Autor przedstawia strategie realizacji transformacyjnych inicjatyw z obszaru AI, budowania skutecznych zespołów i zarządzania nimi. Dużo miejsca poświęca odpowiedzialnemu wdrażaniu AI i zachowaniu zgodności z regulacjami. Książka spełnia rolę mapy drogowej od projektowania przełomowych rozwiązań po osiąganie wymiernych rezultatów biznesowych. W książce: rozwój i realizacja strategii AI w zgodzie z regulacjami zarządzanie projektami z wykorzystaniem metodyk zwinnych przykłady zastosowania deterministycznej i probabilistycznej AI optymalizacja działania systemów autonomicznych zasady projektowania systemów AI skoncentrowanych na człowieku mechanizmy ochrony danych i prywatności modeli AI nie jest wyborem. To paradygmat przywództwa!