Learning JavaScript Data Structures and Algorithms, 3rd Edition
A data structure is a particular way of organizing data in a computer to utilize resources efficiently. Data structures and algorithms are the base of every solution to any programming problem. With this book, you will learn to write complex and powerful code using the latest ES 2017 features. Learning JavaScript Data Structures and Algorithms begins by covering the basics of JavaScript and introduces you to ECMAScript 2017, before gradually moving on to the most important data structures such as arrays, queues, stacks, and linked lists. You will gain in-depth knowledge of how hash tables and set data structures function as well as how trees and hash maps can be used to search files in an HD or represent a database. This book serves as a route to take you deeper into JavaScript. You'll also get a greater understanding of why and how graphs, one of the most complex data structures, are largely used in GPS navigation systems in social networks. Toward the end of the book, you'll di ...
A data structure is a particular way of organizing data in a computer to utilize resources efficiently. Data structures and algorithms are the base of every solution to any programming problem. With this book, you will learn to write complex and powerful code using the latest ES 2017 features. Learning JavaScript Data Structures and Algorithms begins by covering the basics of JavaScript and introduces you to ECMAScript 2017, before gradually moving on to the most important data structures such as arrays, queues, stacks, and linked lists. You will gain in-depth knowledge of how hash tables and set data structures function as well as how trees and hash maps can be used to search files in an HD or represent a database. This book serves as a route to take you deeper into JavaScript. You'll also get a greater understanding of why and how graphs, one of the most complex data structures, are largely used in GPS navigation systems in social networks. Toward the end of the book, you'll di ...
Streaming Data
As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them. Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation deta ...
As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them. Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation deta ...
Practical SQL
Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. The book focuses on using SQL to find the story your data tells, with the popular open-source database PostgreSQL and the pgAdmin interface as its primary tools. You'll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from the U.S. Census and other federal and state government agencies. With exercises and real-world examples in each chapter, this book will teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently. Create databases and related tables using your own data; Define the right data types for your information; Aggregate, sort, and filter data to find patterns; Use basic math and advanced statistical functions; Identify errors in data and cle ...
Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. The book focuses on using SQL to find the story your data tells, with the popular open-source database PostgreSQL and the pgAdmin interface as its primary tools. You'll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from the U.S. Census and other federal and state government agencies. With exercises and real-world examples in each chapter, this book will teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently. Create databases and related tables using your own data; Define the right data types for your information; Aggregate, sort, and filter data to find patterns; Use basic math and advanced statistical functions; Identify errors in data and cle ...
Exam Ref 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI
Prepare for Microsoft Exam 70-778 - and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop; Model and visualize data; Configure dashboards, reports, and apps in the Power BI Service. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI. ...
Prepare for Microsoft Exam 70-778 - and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop; Model and visualize data; Configure dashboards, reports, and apps in the Power BI Service. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI. ...
Exam Ref 70-768 Developing SQL Data Models
Prepare for Microsoft Exam 70-768 - and help demonstrate your real-world mastery of Business Intelligence (BI) solutions development with SQL Server 2016 Analysis Services (SSAS), including modeling and queries. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Design a multidimensional BI semantic model; Design a tabular BI semantic model; Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX); Configure and maintain SSAS. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you are a database or BI professional with experience creating models, writing MDX or DAX queries, and using SSAS. ...
Prepare for Microsoft Exam 70-768 - and help demonstrate your real-world mastery of Business Intelligence (BI) solutions development with SQL Server 2016 Analysis Services (SSAS), including modeling and queries. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Design a multidimensional BI semantic model; Design a tabular BI semantic model; Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX); Configure and maintain SSAS. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you are a database or BI professional with experience creating models, writing MDX or DAX queries, and using SSAS. ...
Exam Ref 70-761 Querying Data with Transact-SQL
Prepare for Microsoft Exam 70-761 - and help demonstrate your real-world mastery of SQL Server 2016 Transact-SQL data management, queries, and database programming. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical-thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Filter, sort, join, aggregate, and modify data; Use subqueries, table expressions, grouping sets, and pivoting; Query temporal and non-relational data, and output XML or JSON; Create views, user-defined functions, and stored procedures; Implement error handling, transactions, data types, and nulls. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have experience working with SQL Server as a database administrator, system engineer, or developer; Includes downloadable sample database and code for SQL Serve ...
Prepare for Microsoft Exam 70-761 - and help demonstrate your real-world mastery of SQL Server 2016 Transact-SQL data management, queries, and database programming. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical-thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Filter, sort, join, aggregate, and modify data; Use subqueries, table expressions, grouping sets, and pivoting; Query temporal and non-relational data, and output XML or JSON; Create views, user-defined functions, and stored procedures; Implement error handling, transactions, data types, and nulls. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have experience working with SQL Server as a database administrator, system engineer, or developer; Includes downloadable sample database and code for SQL Serve ...
Exam Ref 70-767 Implementing a SQL Data Warehouse
Prepare for Microsoft Exam 70-767 - and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Transform, Load (ETL) data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master Data Services (MDS) model, using MDS tools, and creating a Master Data Manager database and web application. The reader should understand how to design and implement ETL control flow elements and work with a SQL Service Integration Services package. Focus on the expertise measured by these objectives: Design, and implement, and maintain a data warehouse; Extract, transform, and load data; Build data quality solutions. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have working kno ...
Prepare for Microsoft Exam 70-767 - and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Transform, Load (ETL) data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master Data Services (MDS) model, using MDS tools, and creating a Master Data Manager database and web application. The reader should understand how to design and implement ETL control flow elements and work with a SQL Service Integration Services package. Focus on the expertise measured by these objectives: Design, and implement, and maintain a data warehouse; Extract, transform, and load data; Build data quality solutions. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have working kno ...
Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel
Prepare for Microsoft Exam 70-779 - and help demonstrate your real-world mastery of Microsoft Excel data analysis and visualization. Designed for BI professionals, data analysts, and others who analyze business data with Excel, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Microsoft Excel; Model data, from building and optimizing data models through creating performance KPIs, actual and target calculations, and hierarchies; Visualize data, including creating and managing PivotTables and PivotCharts, and interacting with PowerBI. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have a strong understanding of how to use Microsoft Excel to perform data analysis. ...
Prepare for Microsoft Exam 70-779 - and help demonstrate your real-world mastery of Microsoft Excel data analysis and visualization. Designed for BI professionals, data analysts, and others who analyze business data with Excel, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Microsoft Excel; Model data, from building and optimizing data models through creating performance KPIs, actual and target calculations, and hierarchies; Visualize data, including creating and managing PivotTables and PivotCharts, and interacting with PowerBI. This Microsoft Exam Ref: Organizes its coverage by exam objectives; Features strategic, what-if scenarios to challenge you; Assumes you have a strong understanding of how to use Microsoft Excel to perform data analysis. ...
Data Science Fundamentals for Python and MongoDB
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn't required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path ...
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn't required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path ...
Learning Spark
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell; Leverage Spark's powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib; Use one programming paradigm instead of mixing and matching tools like Hiv ...
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell; Leverage Spark's powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib; Use one programming paradigm instead of mixing and matching tools like Hiv ...