Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering l...(展开全部)

Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data structures using the popular Python™ programming language. The level of instruction is ideal if you've had at least one semester of programming experience in an object-oriented languag...(展开全部)

Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. Complexity increases with scale and demand, and handling big data is not as simple as just doubling down on your RDBMS or rolling out some trendy new technology. Fortunately, scalability and simplicity are not mutually exclusive—you j...(展开全部)

Ellis Horowitz于成斯康星-麦迪逊大学获得计算机科学博士学位。他从事数据结构、算法和软件设计等领域的计算机科学教育。

Ellis Horowitz于成斯康星-麦迪逊大学获得计算机科学博士学位。他从事数据结构、算法和软件设计等领域的计算机科学教育。

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnos...(展开全部)

Master AWS data engineering services and techniques for orchestrating pipelines, building layers, and managing migrations Key Features Get up to speed with the different AWS technologies for data engineering Learn the different aspects and considerations of building data lakes, such as security, storage, and operations Get hands on with key AWS services such as Glue, EMR, Redshift, QuickSight, and Athena for practical learning Purchase of the

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that ...(展开全部)

’m currently a Principal Researcher at Microsoft Corporation, where I've worked since 1994. I'm also an Affiliate Professor of computer science at University of Washington. Over the past 35 years, I’ve been a product architect at Microsoft and at Digital Equipment Corp. (gone but not forgotten), a professor at Harvard University and Wang Institute of Graduate Studies, and a VP ...(展开全部)