Bazy danych
Karl Pover
Just because you know how to swing a hammer doesn't mean you know how to build a house. Now that you've learned how to use QlikView, it's time to learn how to develop meaningful QlikView applications that deliver what your business users need.You will explore the requirements and the data from several business departments in order to deliver the most amazing analysis and data visualizations. In doing so, you will practice using advanced QlikView functions, chart object property options, and extensions to solve real-worldchallenges.
Jeremy Nelson
Redis is the most popular, open-source, key value data structure server that provides a wide range of capabilities on which multiple platforms can be be built. Its fast and flexible data structures give your existing applications an edge in the development environment. This book is a practical guide which aims to help you deep dive into the world of Redis data structure to exploit its excellent features. We start our journey by understanding the need of Redis in brief, followed by an explanation of Advanced key management. Next, you will learn about design patterns, best practices for using Redis in DevOps environment and Docker containerization paradigm in detail. After this, you will understand the concept of scaling with Redis cluster and Redis Sentinel , followed by a through explanation of incorporating Redis with NoSQL technologies such as Elasticsearch and MongoDB. At the end of this section, you will be able to develop competent applications using these technologies. You will then explore the message queuing and task management features of Redis and will be able to implement them in your applications. Finally, you will learn how Redis can be used to build real-time data analytic dashboards, for different disparate data streams.
Marco Bonzanini
Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights.This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data.
Guang Hui Du, Gordon Du
SAP Business One is an integrated Enterprise Resource Planning (ERP) software which offers an ideal solution for growing small to midsized businesses. For such companies, retrieving the most relevant information from their business data can be key to standing out from the competition. SAP Business One is a rapidly growing software package and this book is timely in giving those businesses an advantage in the area of Business Intelligence. Having SQL query skills in- house is the most important and cost-effective move you can make in this growing field.This practical guide will provide you with the skills to gain more specific business information from SAP Business One by using SQL queries. It will provide you with solutions for solving complicated report related problems, covering basic tools like the Query Generator and Query Wizard. More advanced content like using queries with Crystal Reports will also be delved into.SQL query is one of the advanced tools available in SAP Business One which is easily learned and quickly utilized. By referring back to and applying the many examples in this book, you will be able to create and run correct, and therefore effective, SQL queries to help your business.The book begins by teaching a clear definition of the SQL query, and covers the data dictionary and table links. Coverage will then jump to a higher level of complex SQL queries, discussing features like FMS. Along the way more advanced SQL Query topics will be covered, such as extending the scope of basic SQL queries for more complicated cases. You will ultimately gain in depth query knowledge to bring more Business Intelligence into SAP Business One.
Milo?° Radivojevifá, Dejan Sarka, William Durkin, Christian...
Microsoft SQL Server 2017 uses the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. By learning how to use the features of SQL Server 2017 effectively, you can build scalable apps and easily perform data integration and transformation. You’ll start by brushing up on the features of SQL Server 2017. This Learning Path will then demonstrate how you can use Query Store, columnstore indexes, and In-Memory OLTP in your apps. You'll also learn to integrate Python code in SQL Server and graph database implementations for development and testing. Next, you'll get up to speed with designing and building SQL Server Integration Services (SSIS) data warehouse packages using SQL server data tools. Toward the concluding chapters, you’ll discover how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks.By the end of this Learning Path, you'll be equipped with the skills you need to design efficient, high-performance database applications with confidence.This Learning Path includes content from the following Packt books: SQL Server 2017 Developer's Guide by Miloš Radivojevi?, Dejan Sarka, et. al SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. al
Marleen Meier, Christina Stathopoulos, David Sigerson
This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added.Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions.Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau.By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
Marleen Meier
This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Tableau Prep Builder, and Desktop, and up-to-date examples, this book will take you from mastering essential Tableau concepts to advanced functionalities. A chapter on AI-powered analytics has also been added.Throughout this book, you'll learn how to use Tableau Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins and unions, using practical examples. You'll get to grips with OData or Google BigQuery, executing data densification and exploring other expert-level examples to help you with calculations, mappings, and visual designs.Later chapters will teach you all about improving dashboard performance, Tableau Server, Tableau exchange, Data Governance and AI-powered features.. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau.By the end of this book, you'll have mastered Tableau 2026 and be able to tackle common and advanced challenges in the BI domain.
Mastering Tableau. Smart Business Intelligence techniques to get maximum insights from your data
Jen Stirrup, David Baldwin
Tableau has emerged as one of the most popular Business Intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. This book will empower you to become a master in Tableau by exploiting the many new features introduced in Tableau 10.0.You will embark on this exciting journey by getting to know the valuable methods of utilizing advanced calculations to solve complex problems. These techniques include creative use of different types of calculations such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau by getting a proper understanding of the tool’s inner workings and creatively exploring possibilities. You’ll be armed with an arsenal of advanced chart types and techniques to enable you to efficiently and engagingly present information to a variety of audiences through the use of clear, efficient, and engaging dashboards. Explanations and examples of efficient and inefficient visualization techniques, well-designed and poorly designed dashboards, and compromise options when Tableau consumers will not embrace data visualization will build on your understanding of Tableau and how to use it efficiently.By the end of the book, you will be equipped with all the information you need to create effective dashboards and data visualization solutions using Tableau.