Professional Azure SQL Managed Database Administration is a comprehensive guide to mastering data management with Azure's managed database services. Packed with real-world exercises and updated to cover the latest Azure features, this book provides actionable insights into migration, performance tuning, scaling, and securing Azure SQL databases. What this Book will help me do Master the configuration and pricing options for Azure SQL databases to make cost-effective choices. Learn the processes to provision new SQL databases or migrate existing on-premises SQL databases to Azure. Acquire skills in implementing high availability and disaster recovery for ensuring data resilience. Understand the strategies for monitoring, tuning, and optimizing the performance of Azure SQL databases. Discover techniques for scaling uses through elastic pools and securing databases comprehensively. Author(s) Ahmad Osama and Shashikant Shakya are experienced professionals in SQL Server and Azure SQL technologies. With decades of combined experience in database administration and cloud computing, they bring a depth of understanding to the content of this book. Their hands-on teaching approach is evident in the practical exercises and real-world scenarios included. Who is it for? This book is specifically tailored for database administrators, developers, and application developers looking to leverage Azure SQL databases. If you are tasked with migrating applications to the cloud or ensuring top performance and resilience for cloud databases, you will find this book highly valuable. Prior experience with on-premises SQL services will help contextualize the content, making it suitable for professionals with intermediate SQL experience. Readers aiming to deepen their Azure SQL expertise will also greatly benefit.

Did you know that there are 3 types different types of data scientists? A for analyst, B for builder, and C for consultant - we discuss the key differences between each one and some learning strategies you can use to become A, B, or C.

We talked about:

Inspirations for memes  Danny's background and career journey The ABCs of data science - the story behind the idea Data scientist type A - Analyst  Skills, responsibilities, and background for type A Transitioning from data analytics to type A data scientist (that's the path Danny took) How can we become more curious? Data scientist B - Builder  Responsibilities and background for type B Transitioning from type A to type B Most important skills for type B Why you have to learn more about cloud  Data scientist type C - consultant Skills, responsibilities, and background for type C Growing into the C type Ideal data science team Important business metrics Getting a job - easier as type A or type B? Looking for a job without experience Two approaches for job search: "apply everywhere" and "apply nowhere" Are bootcamps useful? Learning path to becoming a data scientist Danny's data apprenticeship program and "Serious SQL" course  Why SQL is the most important skill R vs Python Importance of Masters and PhD

Links:

Danny's profile on LinkedIn: https://linkedin.com/in/datawithdanny Danny's course: https://datawithdanny.com/ Trailer: https://www.linkedin.com/posts/datawithdanny_datascientist-data-activity-6767988552811847680-GzUK/ Technical debt paper: https://proceedings.neurips.cc/paper/2015/hash/86df7dcfd896fcaf2674f757a2463eba-Abstract.html

Join DataTalks.Club: https://datatalks.club/slack.html

The "PostgreSQL 13 Cookbook" is your step-by-step resource for mastering PostgreSQL 13. Explore over 120 recipes, solving both common and advanced database management challenges, with a focus on high performance, fault tolerance, and cutting-edge features. What this Book will help me do Master the implementation of backup and recovery strategies tailored for PostgreSQL 13. Set up robust high availability clusters ensuring seamless failover with PostgreSQL replication features. Improve performance using optimization techniques specific to PostgreSQL 13 databases. Secure your databases with advanced authentication, encryption, and auditing measures. Analyze and monitor PostgreSQL servers to identify performance bottlenecks and maintain uptime efficiently. Author(s) Vallarapu Naga Avinash Kumar is an experienced PostgreSQL architect and developer who brings years of expertise in designing and managing enterprise-level databases. He has authored resources that simplify complex technical concepts for readers. His meticulous and straightforward writing approach empowers readers to skillfully apply PostgreSQL concepts in real-world scenarios. Who is it for? This book is perfect for database administrators, architects, and developers aiming to master PostgreSQL 13 capabilities. If you have prior experience with PostgreSQL and SQL, this cookbook will be a reliable reference to solve challenges and optimize your database solutions. If you're designing or managing databases, you'll find practical insights and actionable recipes tailored to your needs.

The "Snowflake Cookbook" is your guide to mastering Snowflake's unique cloud-centric architecture. This book provides detailed recipes for building modern data pipelines, configuring efficient virtual warehouses, ensuring robust data protection, and optimizing cost-performance-all while leveraging Snowflake's distinctive features such as data sharing and time travel. What this Book will help me do Set up and configure Snowflake's architecture for optimized performance and cost efficiency. Design and implement robust data pipelines using SQL and Snowflake's specialized features. Secure, manage, and share data efficiently with built-in Snowflake capabilities. Apply performance tuning techniques to enhance your Snowflake implementations. Extend Snowflake's functionality with tools like Spark Connector for advanced workflows. Author(s) Hamid Mahmood Qureshi and Hammad Sharif are both seasoned experts in data warehousing and cloud computing technologies. With extensive experience implementing analytics solutions, they bring a hands-on approach to teaching Snowflake. They are ardent proponents of empowering readers towards creating effective and scalable data solutions. Who is it for? This book is perfect for data warehouse developers, data analysts, cloud architects, and anyone managing cloud data solutions. If you're familiar with basic database concepts or just stepping into Snowflake, you'll find practical guidance here to deepen your understanding and functional expertise in cloud data warehousing.

Discover how easy it is to create multi-user, cross-platform custom solutions with FileMaker Pro, the relational database platform published by Apple subsidiary Claris International, Inc. Meticulously rewritten with clearer lessons, more real-world examples and updated to include feature changes introduced in recent versions, this book makes it easier to get started planning, building and deploying a custom database solution. The material is presented in an easy to follow manner with each chapter building on the last. After an initial review of the user environment and application basics, it begins a deep exploration of the integrated development environment that seamlessly combines the full stack of data table schema, business logic and interface layers into one visual programming experience. This book includes everything needed to get started building custom databases and contains advanced material that seasoned professionals will appreciate. Written bya professional developer with decades of real-world experience, Learn FileMaker Pro 19 is your comprehensive learning and reference guide. Join millions of users and developers worldwide in achieving a new level of workflow efficiency with FileMaker Pro. What You’ll Learn Discover interface and feature changes in FileMaker 17-19 Create and maintain healthy files Plan and create custom tables, fields, relationships Write calculations using built-in and custom functions Build recursive and repeating formulas Discover advanced features using cURL, JSON, SQL, ODBC and FM URL Manipulate data files in the computer directory with scripts Deploy solutions to a server and share with desktop, iOS and web clients Who This Book Is For Casual programmers, full time consultants, and IT professionals

Build custom SQL Server Integration Services (SSIS) tasks using Visual Studio Community Edition and C#. Bring all the power of Microsoft .NET to bear on your data integration and ETL processes, and for no added cost over what you’ve already spent on licensing SQL Server. New in this edition is a demonstration deploying a custom SSIS task to the Azure Data Factory (ADF) Azure-SSIS Integration Runtime (IR). All examples in this new edition are implemented in C#. Custom task developers are shown how to implement custom tasks using the widely accepted and default language for .NET development. Why are custom components necessary? Because even though the SSIS catalog of built-in tasks and components is a marvel of engineering, gaps remain in the available functionality. One such gap is a constraint of the built-in SSIS Execute Package Task, which does not allow SSIS developers to select SSIS packages from other projects in the SSIS Catalog. Examples in this bookshow how to create a custom Execute Catalog Package task that allows SSIS developers to execute tasks from other projects in the SSIS Catalog. Building on the examples and patterns in this book, SSIS developers may create any task to which they aspire, custom tailored to their specific data integration and ETL needs. What You Will Learn Configure and execute Visual Studio in the way that best supports SSIS task development Create a class library as the basis for an SSIS task, and reference the needed SSIS assemblies Properly sign assemblies that you create in order to invoke them from your task Implement source code control via Azure DevOps, or your own favorite tool set Troubleshoot and execute custom tasks as part of your own projects Create deployment projects (MSIs) for distributing code-complete tasks Deploy custom tasks to Azure Data Factory Azure-SSIS IRs in the cloud Create advanced editors for custom task parameters Who This Book Is For For database administrators and developers who are involved in ETL projects built around SQL Server Integration Services (SSIS). Readers do not need a background in software development with C#. Most important is a desire to optimize ETL efforts by creating custom-tailored tasks for execution in SSIS packages, on-premises or in ADF Azure-SSIS IRs.

Know how locks work in MySQL and how they relate to transactions. This book explains the major role that locks play in database systems, showing how locks are essential in allowing high-concurrency workloads. You will learn about lock access levels and lock granularities from the user level as well as table locks to record and gap locks. Most importantly, the book covers troubleshooting techniques when locking becomes a pain point. Several of the lock types in MySQL have a duration of a transaction. For this reason, it is important to understand how transactions work. This book covers the basics of transactions as well as transaction isolation levels and how they affect locking. The book is meant to be your go-to resource for solving locking contention and similar problems in high-performance MySQL database applications. Detecting locking issues when they occur is the first key to resolving such issues. MySQL Concurrency provides techniques for detecting locking issues such as contention. The book shows how to analyze locks that are causing contention to see why those locks are in place. A collection of six comprehensive case studies combine locking and transactional theory with realistic lock conflicts. The case studies walk you through the symptoms to look for in order to identify which issue you are facing, the cause of the conflict, its analysis, solution, and how to prevent the issue in the future. What You Will Learn Understand which lock types exist in MySQL and how they are used Choose the best transaction isolation level for a given transaction Detect and analyze lock contention when it occurs Reduce locking issues in your applications Resolve deadlocks between transactions Resolve InnoDB record-level locking issues Resolve issues from metadata and schema locks Who This Book Is For Database administrators and SQL developers who are familiar with MySQL and want to gain a better understanding of locking and transactions as well as how to work with them. While some experience with MySQL is required, no prior knowledge of locks and transactions is needed.

Design and configure SQL Server instances and databases in support of high-throughput, mission-critical applications providing consistent response times in the face of variations in numbers of users and query volumes. In this new edition, with over 100 pages of additional content, every original chapter has been updated for SQL Server 2019, and the book also includes two new chapters covering SQL Server on Linux and Intelligent Query Processing. This book shows you how to configure SQL Server and design your databases to support a given instance and workload. You will learn advanced configuration options, in-memory technologies, storage and disk configuration, and more, all aimed toward enabling your desired application performance and throughput. Configuration doesn’t stop with implementation. Workloads change over time, and other impediments can arise to thwart desired performance. High Performance SQL Server covers monitoring and troubleshooting to aid you in detecting and fixing production performance problems and minimizing application outages. You will learn about a variety of tools, ranging from the traditional wait analysis methodology to the query store or indexing, and you will learn how improving performance is an iterative process. This book is an excellent complement to query performance tuning books and provides the other half of what you need to know by focusing on configuring the instances on which mission-critical queries are executed. What You Will Learn Understand SQL Server's database engine and how it processes queries Configure instances in support of high-throughput applications Provide consistent response times to varying user numbers and query volumes Design databases for high-throughput applications with focus on performance Record performance baselines and monitor SQL Server instances against them Troubleshot and fix performance problems Who This Book Is For SQL Server database administrators, developers, and data architects. The book is also of use to system administrators who are managing and are responsible for the physical servers on which SQL Server instances are run.

Get a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server and Azure SQL database engines. This fourth edition is updated to include SQL Notebooks as well as up-to-date syntax and features for T-SQL on-premises and in the Azure cloud. Exercises and examples now include the WideWorldImporters database, the newest sample database from Microsoft for SQL Server. Also new in this edition is coverage of JSON from T-SQL, news about performance enhancements called Intelligent Query Processing, and an appendix on running SQL Server in a container on macOS or Linux. Beginning T-SQL starts you on the path to mastering T-SQL with an emphasis on best practices. Using the sound coding techniques taught in this book will lead to excellent performance in the queries that you write in your daily work. Important techniques such as windowing functions are covered to help you write fast-executing queries that solve real business problems.The book begins with an introduction to databases, normalization, and to setting up your learning environment. You will learn about the tools you need to use such as SQL Server Management Studio, Azure Data Studio, and SQL Notebooks. Each subsequent chapter teaches an aspect of T-SQL, building on the skills learned in previous chapters. Exercises in most chapters provide an opportunity for the hands-on practice that leads to true learning and distinguishes the competent professional. A stand-out feature in this book is that most chapters end with a Thinking About Performance section. These sections cover aspects of query performance relative to the content just presented, including the new Intelligent Query Processing features that make queries faster without changing code. They will help you avoid beginner mistakes by knowing about and thinking about performance from day 1. What You Will Learn Install a sandboxed SQL Server instance for learning Understand how relational databases are designed Create objects such as tables and stored procedures Query a SQL Server table Filter and order the results of a query Query and work with specialized data types such as XML and JSON Apply modern features such as window functions Choose correct techniques so that your queries perform well Who This Book Is For Anyone who wants to learn T-SQL from the beginning or improve their T-SQL skills; those who need T-SQL as an additional skill; and those who write queries such as application developers, database administrators, business intelligence developers, and data scientists. The book is also helpful for anyone who must retrieve data from a SQL Server database.

The dbt project at tails.com has over 600 models and 66k lines of code. With multiple contributors to a project and varying SQL backgrounds, it's really difficult to maintain consistent readability and comprehension across a codebase like that by hand.

Python has flake8, Javascript has JSLint, but SQL...?

Listen to this talk from Alan Cruickshank to find out whether SQLFluff might help your teams be more productive with SQL.

Learn effective and scalable database design techniques in SQL Server 2019 and other recent SQL Server versions. This book is revised to cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level security, and other design-related features. This book will help you design OLTP databases that are high-quality, protect the integrity of your data, and perform fast on-premises, in the cloud, or in hybrid configurations. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for well over 30 years, using technology that is constantly changing. This book covers everything from design logic that business users will understand to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, author Louis Davidson shows you how to "getit right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data. What You Will Learn Develop conceptual models of client data using interviews and client documentation Implement designs that work on premises, in the cloud, or in a hybrid approach Recognize and apply common database design patterns Normalize data models to enhance integrity and scalability of your databases for the long-term use of valuable data Translate conceptual models into high-performing SQL Server databases Secure and protect data integrity as part of meeting regulatory requirements Create effective indexing to speed query performance Understand the concepts of concurrency Who This Book Is For Programmers and database administrators of all types who want to use SQL Server to store transactional data. The book is especially useful to those wanting to learn the latest database design features in SQL Server 2019 (features that include graph objects, in-memory OLTP, temporal data support, and more). Chapters on fundamental concepts, the language of database modeling, SQL implementation, and the normalization process lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2019.

In this introduction to dbt tutorial, you'll to learn about the core concepts of dbt and how it's used.

You probably know that data is a huge part of how the world runs now, including how businesses report on metrics and how they operate.

One of the difficult parts of working with data is communicating enough context and information to everyone in the organization so they understand the data they're looking at and whether it answers their questions.

That's where dbt comes in. dbt is a data transformation and documentation tool that helps data analysts, data engineers, and business stakeholders collaborate on data.

This introduction to dbt will walk you through: a short history of ELT, what is dbt (data build tool), and dbt core concepts.

The core dbt concepts include: - Expressing transforms with SQL select - Automatically build the DAG with ref(s) - Tests ensure model accuracy - Documentation is accessible and easily updated - Use macros to write reusable SQL

Learn more about dbt at: https://getdbt.com https://twitter.com/getdbt

Learn more about dbt Labs (formerly Fishtown Analytics) at: https://www.getdbt.com/dbt-labs/about-us/ https://twitter.com/dbt_labs https://www.linkedin.com/company/dbtlabs

Dive into PostgreSQL 13 with this comprehensive guide that equips you to build, manage, and optimize database applications using state-of-the-art features. With a strong focus on hands-on insights, this book covers everything from SQL functions to advanced replication, helping you to enhance your database management expertise. What this Book will help me do Understand and utilize advanced SQL features to increase database efficiency. Optimize your PostgreSQL queries for improved performance in applications. Implement robust backup, recovery, and replication strategies for data integrity. Migrate seamlessly from Oracle to PostgreSQL using proven strategies. Strengthen server security to safeguard sensitive data in your PostgreSQL system. Author(s) Hans-Jürgen Schönig is a renowned PostgreSQL expert with decades of experience in database administration and consulting. He has guided companies across the globe to leverage the power of PostgreSQL, achieving high performance and reliability in their applications. His clear, methodical, and practical approach makes complex topics accessible to database professionals. Who is it for? This book is crafted for PostgreSQL database administrators and developers with some prior experience. If you are looking to refine your skills and adopt advanced features in PostgreSQL 13 to enhance performance and manageability, this book is ideal for you. It is best suited for individuals who aim to make their database applications more secure and robust.

Get a fast start to using AlwaysOn, the SQL Server solution to high-availability and disaster recovery. This third edition is newly-updated to cover the 2019 editions of both SQL Server and Windows Server and includes strong coverage of implementing AlwaysOn Availability Groups on both Windows and Linux operating systems. The book provides a solid and accurate understanding of how to implement systems requiring consistent and continuous uptime, as well as how to troubleshoot those systems in order to keep them running and reliable. This edition is updated to account for all new major functionality and also includes coverage of implementing atypical configurations, such as clusterless and domain-independent Availability Groups, distributed Availability Groups, and implementing Availability Groups on Azure. The book begins with an introduction to high-availability and disaster recovery concepts such as Recovery Point Objectives (RPOs), Recovery Time Objectives (RTOs), availability levels, and the cost of downtime. You’ll then move into detailed coverage of implementing and configuring the AlwaysOn feature set in order to meet the business objectives set by your organization. Content includes coverage on implementing clusters, building AlwaysOn failover clustered instances, and configuring AlwaysOn Availability Groups. SQL Server 2019 AlwaysOn is chock full of real-world advice on how to build and configure the most appropriate topology to meet the high-availability and disaster recovery requirements you are faced with, as well as how to use AlwaysOn Availability Groups to scale-out read-only workloads. This is a practical and hands-on book to get you started quickly in using one of the most talked-about SQL Server feature sets. What You Will Learn Understand high availability and disaster recovery in SQL Server 2019 Build and configure a Windows Cluster in Windows Server 2019 Create and configure an AlwaysOn failover clustered instance Implement AlwaysOn Availability Groups and appropriately configure them Implement AlwaysOn Availability Groups on Linux servers Configure Availability Groups on Azure IaaS Administer AlwaysOn technologies post implementation Understand typical configurations, such as clusterless and distributed Availability Groups Who This Book Is For For Microsoft SQL Server database administrators who interested in growing their knowledge and skills in SQL Server’s high-availability and disaster recovery feature set.

Here is the expert-level, insider guidance you need on using Azure SQL Database as your back-end data store. This book highlights best practices in everything ranging from full-stack projects to mobile applications to critical, back-end APIs. The book provides instruction on accessing your data from any language and platform. And you learn how to push processing-intensive work into the database engine to be near the data and avoid undue networking traffic. Azure SQL is explained from a developer's point of view, helping you master its feature set and create applications that perform well and delight users. Core to the book is showing you how Azure SQL Database provides relational and post-relational support so that any workload can be managed with easy accessibility from any platform and any language. You will learn about features ranging from lock-free tables to columnstore indexes, and about support for data formats ranging from JSON and key-values to the nodes and edges in the graph database paradigm. Reading this book prepares you to deal with almost all data management challenges, allowing you to create lean and specialized solutions having the elasticity and scalability that are needed in the modern world. What You Will Learn Master Azure SQL Database in your development projects from design to the CI/CD pipeline Access your data from any programming language and platform Combine key-value, JSON, and relational data in the same database Push data-intensive compute work into the database for improved efficiency Delight your customers by detecting and improving poorly performing queries Enhance performance through features such as columnstore indexes and lock-free tables Build confidence in your mastery of Azure SQL Database's feature set Who This Book Is For Developers of applications and APIs that benefit from cloud database support, developers who wish to master their tools (including Azure SQL Database, and those who want their applications to be known for speedy performance and the elegance of their code

You may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in several flavors of SQL, including Oracle, DB2, SQL Server, MySQL, and PostgreSQL. SQL programmers, analysts, data scientists, database administrators, and even relatively casual SQL users will find SQL Cookbook to be a valuable problem-solving guide for everyday issues. No other resource offers recipes in this unique format to help you tackle nagging day-to-day conundrums with SQL. The second edition includes: Fully revised recipes that recognize the greater adoption of window functions in SQL implementations Additional recipes that reflect the widespread adoption of common table expressions (CTEs) for more readable, easier-to-implement solutions New recipes to make SQL more useful for people who aren't database experts, including data scientists Expanded solutions for working with numbers and strings Up-to-date SQL recipes throughout the book to guide you through the basics

Access detailed content and examples on Azure SQL, a set of cloud services that allows for SQL Server to be deployed in the cloud. This book teaches the fundamentals of deployment, configuration, security, performance, and availability of Azure SQL from the perspective of these same tasks and capabilities in SQL Server. This distinct approach makes this book an ideal learning platform for readers familiar with SQL Server on-premises who want to migrate their skills toward providing cloud solutions to an enterprise market that is increasingly cloud-focused. If you know SQL Server, you will love this book. You will be able to take your existing knowledge of SQL Server and translate that knowledge into the world of cloud services from the Microsoft Azure platform, and in particular into Azure SQL. This book provides information never seen before about the history and architecture of Azure SQL. Author Bob Ward is a leading expert with access to and support fromthe Microsoft engineering team that built Azure SQL and related database cloud services. He presents powerful, behind-the-scenes insights into the workings of one of the most popular database cloud services in the industry. What You Will Learn Know the history of Azure SQL Deploy, configure, and connect to Azure SQL Choose the correct way to deploy SQL Server in Azure Migrate existing SQL Server instances to Azure SQL Monitor and tune Azure SQL’s performance to meet your needs Ensure your data and application are highly available Secure your data from attack and theft Who This Book Is For This book is designed to teach SQL Server in the Azure cloud to the SQL Server professional. Anyone who operates, manages, or develops applications for SQL Server will benefit from this book. Readers will be able to translate their current knowledge of SQL Server—especially of SQL Server 2019—directly to Azure. This book is ideal for database professionals looking to remain relevant as their customer base moves into the cloud.

"Hands-On SQL Server 2019 Analysis Services" is a comprehensive guide to mastering data analysis using SQL Server Analysis Services (SSAS). This book provides you with step-by-step directions on creating and deploying tabular and multi-dimensional models, as well as using tools like MDX and DAX to query and analyze data. By the end, you'll be confident in designing effective data models for business analytics. What this Book will help me do Understand how to create and optimize both tabular and multi-dimensional models with SQL Server Analysis Services. Learn to use MDX and DAX to query and manipulate your data for enhanced insights. Integrate SSAS models with visualization tools like Excel and Power BI for effective decision-making. Implement robust security measures to safeguard data within your SSAS deployments. Master scaling and optimizing best practices to ensure high-performance analytical models. Author(s) Steven Hughes is a data analytics expert with extensive experience in business intelligence and SQL Server technologies. With years of practical experience in using SSAS and teaching data professionals, Steven has a knack for breaking down complex concepts into actionable knowledge. His approach to writing involves combining clear explanations with real-world examples. Who is it for? This book is intended for BI professionals, data analysts, and database developers who want to gain hands-on expertise with SQL Server 2019 Analysis Services. Ideal readers should have familiarity with database querying and a basic understanding of business intelligence tools like Power BI and Excel. It's perfect for those aiming to refine their skills in modeling and deploying robust analytics solutions.

Learn to automate SQL Server operations using frameworks built from metadata-driven stored procedures and SQL Server Integration Services (SSIS). Bring all the power of Transact-SQL (T-SQL) and Microsoft .NET to bear on your repetitive data, data integration, and ETL processes. Do this for no added cost over what you’ve already spent on licensing SQL Server. The tools and methods from this book may be applied to on-premises and Azure SQL Server instances. The SSIS framework from this book works in Azure Data Factory (ADF) and provides DevOps personnel the ability to execute child packages outside a project—functionality not natively available in SSIS. Frameworks not only reduce the time required to deliver enterprise functionality, but can also accelerate troubleshooting and problem resolution. You'll learn in this book how frameworks also improve code quality by using metadata to drive processes. Much of the work performed by data professionals can be classified as “drudge work”—tasks that are repetitive and template-based. The frameworks-based approach shown in this book helps you to avoid that drudgery by turning repetitive tasks into "one and done" operations. Frameworks as described in this book also support enterprise DevOps with built-in logging functionality. What You Will Learn Create a stored procedure framework to automate SQL process execution Base your framework on a working system of stored procedures and execution logging Create an SSIS framework to reduce the complexity of executing multiple SSIS packages Deploy stored procedure and SSIS frameworks to Azure Data Factory environments in the cloud Who This Book Is For Database administrators and developers who are involved in enterprise data projects built around stored procedures and SQL Server Integration Services (SSIS). Readersshould have a background in programming along with a desire to optimize their data efforts by implementing repeatable processes that support enterprise DevOps.

This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard, if not impossible, to do using native Power BI tools. For example, you will learn to score Power BI data using custom data science models and powerful models from Microsoft Cognitive Services. The R and Python languages are powerful complements to Power BI. They enable advanced data transformation techniques that are difficult to perform in Power BI in its default configuration but become easier by leveraging the capabilities of R and Python. If you are a business analyst, data analyst, or a data scientist who wants to push Power BI and transform it from being just a business intelligence tool into an advanced data analytics tool, then this is the book to help you do that. What You Will Learn Create advanced data visualizations via R using the ggplot2 package Ingest data using R and Python to overcome some limitations of Power Query Apply machine learning models to your data using R and Python without the need of Power BI premium capacity Incorporate advanced AI in Power BI without the need of Power BI premium capacity via Microsoft Cognitive Services, IBM Watson Natural Language Understanding, and pre-trained models in SQL Server Machine Learning Services Perform advanced string manipulations not otherwise possible in Power BI using R and Python Who This Book Is For Power users, data analysts, and data scientists who want to go beyond Power BI’s built-in functionality to create advanced visualizations, transform data in ways not otherwise supported, and automate data ingestion from sources such as SQL Server and Excel in a more concise way