Bøger af Dejan Sarka

Empowering You to Master Business Intelligence and Solve Real-world Analytical Problems.DESCRIPTIONIn today's analytics landscape, proficiency in Excel and Power BI is practically a prerequisite for a successful career. This book provides a concise yet comprehensive exploration of these foundational elements of modern Business Intelligence (BI).Comprising ten chapters, this book covers the entire development journey of a Power BI analytical solution, spanning from data modeling and preparation to report creation, publication, and dashboard and app deployment. It offers insights into security measures and performance optimization, ensuring a well-rounded understanding of the BI ecosystem. Furthermore, it delves into advanced topics, such as leveraging data science algorithms within reports, offering readers an extensive learning experience. The book takes a holistic approach to these technologies, offering a contrast to the narrow perspectives often adopted by contemporary BI professionals who rely solely on a single tool or language. The book allows data enrichment through calculations that can be achieved using various languages, including SQL queries at the source, Power Query Formula Language, M, Python, R, and DAX. By the end of this book you will master these options but be able to also weigh their pros and cons to make informed decisions.TABLE OF CONTENTS 1. Introducing the Theoretical Background for Democratizing Analytics2. Acquiring and transforming data from multiple sources3. Power Query Transformations and Formula Language (M) Overview4. Building a simple analytical solution with Power Pivot in Excel5. Enhancing the model and business analysis with DAX6. Creating reports in Power BI Desktop7. Using the Power BI Service8. Data Science in Power BI 9. Optimizing Power BI models and reports10. Deploying, Maintaining and Securing Power BI Assets Index

Intermediate-Advanced user level

This Learning Path is a step-by-step guide that covers everything you need to develop efficient data integration and data transformation solutions for your organization.

SQL Server started to fully support data science only with its last two editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning Services for their projects, then this is the ideal book for you.

This book is your guide to exploring the various developer capabilities offered by SQL Server 2017. Model your data and the complex relationships within it, and integrate SQL Server with R and Python for efficient analytics. The book also covers the performance and troubleshooting aspects to help you develop efficient database applications.

Get the most out of the rich development capabilities of SQL Server 2016 to build efficient database applications for your organizationAbout This Book* Utilize the new enhancements in Transact-SQL and security features in SQL Server 2016 to build efficient database applications* Work with temporal tables to get information about data stored in the table at any point in time* A detailed guide to SQL Server 2016, introducing you to multiple new features and enhancements to improve your overall development experienceWho This Book Is ForThis book is for database developers and solution architects who plan to use the new SQL Server 2016 features for developing efficient database applications. It is also ideal for experienced SQL Server developers who want to switch to SQL Server 2016 for its rich development capabilities. Some understanding of the basic database concepts and Transact-SQL language is assumed. What You Will Learn* Explore the new development features introduced in SQL Server 2016* Identify opportunities for In-Memory OLTP technology, significantly enhanced in SQL Server 2016* Use columnstore indexes to get significant storage and performance improvements* Extend database design solutions using temporal tables* Exchange JSON data between applications and SQL Server in a more efficient way* Migrate historical data transparently and securely to Microsoft Azure by using Stretch Database* Use the new security features to encrypt or to have more granular control over access to rows in a table* Simplify performance troubleshooting with Query Store* Discover the potential of R's integration with SQL ServerIn DetailMicrosoft SQL Server 2016 is considered the biggest leap in the data platform history of the Microsoft, in the ongoing era of Big Data and data science. Compared to its predecessors, SQL Server 2016 offers developers a unique opportunity to leverage the advanced features and build applications that are robust, scalable, and easy to administer. This book introduces you to new features of SQL Server 2016 which will open a completely new set of possibilities for you as a developer. It prepares you for the more advanced topics by starting with a quick introduction to SQL Server 2016's new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to small delights in the Transact-SQL language and then switches to a completely new technology inside SQL Server - JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables. The last chapters concentrate on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. You will finally be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle. Style and approachThis book is a detailed guide to mastering the development features offered by SQL Server 2016, with a unique learn-as-you-do approach. All the concepts are explained in a very easy-to-understand manner and are supplemented with examples to ensure that you-the developer-are able to take that next step in building more powerful, robust applications for your organization with ease.