talk-data.com talk-data.com

Topic

software-development

2

tagged

Activity Trend

1 peak/qtr
2020-Q1 2026-Q1

Activities

Showing filtered results

Filtering by: O'Reilly Business Intelligence Books ×
Python Business Intelligence Cookbook

Learn how to harness Python for business intelligence tasks with the 'Python Business Intelligence Cookbook.' This guide provides practical recipes that help transform raw data into actionable insights for better decision-making. From preparing and analyzing to visualizing data, you will acquire useful skills for implementing efficient BI systems within your organization. What this Book will help me do Master installing and setting up tools like Anaconda and MongoDB for BI work. Prepare datasets by cleaning, standardizing, and extracting essential data. Use Pandas and NoSQL databases to analyze data and extract insights. Build business dashboards utilizing visualization tools like Matplotlib. Gain the ability to create complete BI systems for various business needs. Author(s) None Dempsey has extensive experience in Python programming and data analysis. With a passion for teaching and applied business intelligence, Dempsey writes in a straightforward and approachable style, making complex topics accessible to readers. The recipes compiled in this book are built to be both practical and intuitive. Who is it for? This book is ideal for data analysts, managers, and professionals who have a basic understanding of Python and want to apply it to business intelligence tasks. It's also helpful for those familiar with BI concepts looking to enhance or modernize their workflows with Python-based tools. If you're seeking to gain actionable insights from data in your business, this book is for you.

Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing

Using Agile methods, you can bring far greater innovation, value, and quality to any data warehouse, business intelligence, or analytics project. However, conventional Agile methodologies must be carefully adapted to address the unique characteristics of DW/BI projects. In , Agile pioneer Ken Collier shows how to do just that. Agile Analytics Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets; support enormous and fast-growing data volumes; and more. Collier's techniques offer equal value whether your projects involve "back-end" data management, "front-end" business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your agile DW/BI project community works together towards success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, DBA, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way.