talk-data.com talk-data.com

Topic

YAML

Yet Another Markup Language (YAML)

data_serialization configuration_file_format human_readable file_format

2

tagged

Activity Trend

9 peak/qtr
2020-Q1 2026-Q1

Activities

2 activities · Newest first

Data Contracts in Practice

In 'Data Contracts in Practice', Ryan Collingwood provides a detailed guide to managing and formalizing data responsibilities within organizations. Through practical examples and real-world use cases, you'll learn how to systematically address data quality, governance, and integration challenges using data contracts. What this Book will help me do Learn to identify and formalize expectations in data interactions, improving clarity among teams. Master implementation techniques to ensure data consistency and quality across critical business processes. Understand how to effectively document and deploy data contracts to bolster data governance. Explore solutions for proactively addressing and managing data changes and requirements. Gain real-world skills through practical examples using technologies like Python, SQL, JSON, and YAML. Author(s) Ryan Collingwood is a seasoned expert with over 20 years of experience in product management, data analysis, and software development. His holistic techno-social approach, designed to address both technical and organizational challenges, brings a unique perspective to improving data processes. Ryan's writing is informed by his extensive hands-on experience and commitment to enabling robust data ecosystems. Who is it for? This book is ideal for data engineers, software developers, and business analysts working to enhance organizational data integration. Professionals with a familiarity of system design, JSON, and YAML will find it particularly beneficial. Enterprise architects and leadership roles looking to understand data contract implementation and their business impacts will also greatly benefit. Basic understanding of Python and SQL is recommended to maximize learning.

Big Data on Kubernetes

Big Data on Kubernetes is your comprehensive guide to leveraging Kubernetes for scalable and efficient big data solutions. You will learn key concepts of Kubernetes architecture and explore tools like Apache Spark, Airflow, and Kafka. Gain hands-on experience building complete data pipelines to tackle real-world data challenges. What this Book will help me do Understand Kubernetes architecture and learn to deploy and manage clusters. Build and orchestrate big data pipelines using Spark, Airflow, and Kafka. Develop scalable and resilient data solutions with Docker and Kubernetes. Integrate and optimize data tools for real-time ingestion and processing. Apply concepts to hands-on projects addressing actual big data scenarios. Author(s) Neylson Crepalde is an experienced data specialist with extensive knowledge of Kubernetes and big data solutions. With deep practical experience, Neylson brings real-world insights to his writing. His approach emphasizes actionable guidance and relatable problem-solving with a strong foundation in scalable architecture. Who is it for? This book is ideal for data engineers, BI analysts, data team leaders, and tech managers familiar with Python, SQL, and YAML. Targeted at professionals seeking to develop or expand their expertise in scalable big data solutions, it provides practical insights into Docker, Kubernetes, and prominent big data tools.