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Organization and Data Processing

Python for Finance: Mastering Data-Driven Finance (2nd)

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative...

Big Data Analytics: A Hands-On Approach

The book is organized into three main parts, comprising a total of twelve chapters. Part I provides an introduction to big data, applications of big data, and big data science and analytics patterns and architectures. A novel data science and analytics application system design methodology is proposed and its realization through...

Data Wrangling with JavaScript (1st Edition)

With a growing ecosystem of tools and libraries available, and the flexibility to run on many platforms (web, desktop and mobile), JavaScript is a terrific all-round environment for all data wrangling needs!Data Wrangling with JavaScript teaches readers core data munging techniques in JavaScript, along with many libraries and to...

Python for Finance: Mastering Data-Driven Finance (2nd)

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative...

Social Media Data Mining and Analytics

Harness the power of social media to predict customer behaviorand improve salesSocial media is the biggest source of Big Data. Because of this,90% of Fortune 500 companies are investing in Big Data initiativesthat will help them predict consumer behavior to produce bettersales results. Written by Dr. Gabor Szabo, a Senior Data S...

Guide to Programming for the Digital Humanities Lessons for Introductory Python

As an introduction to programming for the Digital Humanities (DH), this book presents six key assignments oriented on DH topics. The topics include Computing Change Over Time (calculating burials at a historic cemetery), Visualizing Change Over Time (visualizing the burials at the historic cemetery), Textual Analysis (finding wo...

Kafka Streams in Action: Real-time apps and microservices with the Kafka Streaming API (1st Edition)

Kafka Streams is a library designed to allow for easy stream processing of data flowing into a Kafka cluster. Stream processing has become one of the biggest needs for companies over the last few years as quick data insight becomes more and more important but current solutions can be complex and large, requiring additional tools...

Supercharge Power BI: Power BI Is Better When You Learn to Write DAX

Power BI is a self-service (and enterprise) Business Intelligence (BI) tool that facilitates data acquisition, modeling, and visualization—and the skills needed to succeed with Power BI are fully transferable to Microsoft Excel. There are three learning areas required to master everything Power BI Desktop has to offer: TheM Lang...

Making Work Visible: Exposing Time Theft to Optimize Work & Flow

In this timely book by Information Technology time management expert Dominica DeGrandis, the real crime of the century is revealed--time theft, one of the most costly factors impacting enterprises in their day-to-day operations. In three parts, DeGrandis reveals the five primary causes (a.k.a. the five thieves of time) of value ...

Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark (1st Edition)

Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data anal...