Isbn: 9798173060662 - the business analyst’s guide to big data technologies: a practical guide to hadoop, spark, cloud analytics, data pipelines, governance, and data-driven decision making (3 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condizione: Neu. Neuware - Turn massive datasets into meaningful business decisions.Big data is transforming how organizations understand customers, improve operations, manage risk, and compete. But having access to enormous volumes of information is not enough. Business professionals need to understand how modern data technologies work, how information moves through complex environments, and how analytical results can be translated into practical business action.Big Data Business Analysis provides a practical guide to the technologies, workflows, and analytical thinking needed to work effectively with large-scale data environments.You'll explore the foundations of Hadoop, Apache Spark, cloud computing, data pipelines, data integration, analytics, security, and data governance-with a consistent focus on how these technologies support business analysis and decision-making.Inside this book, you'll learn how to: - Understand distributed storage and large-scale data processing- Explore Hadoop architecture and practical business applications- Build data-processing workflows with Apache Spark- Apply Spark analytics to business intelligence and insight generation- Evaluate cloud environments for scalable data solutions- Design reliable data pipelines for large-scale analytics- Integrate information from multiple business data sources- Monitor data quality, accuracy, and pipeline performance- Translate business questions into clear data requirements- Use big data insights to improve operational performance- Support predictive analysis, forecasting, and strategic planning- Communicate analytical findings effectively to decision-makers- Understand big data security, privacy, governance, and compliance- Troubleshoot processing, configuration, and performance problems- Apply optimization and best practices for long-term platform successRather than focusing solely on technical concepts, this guide connects big data technology with real business requirements. You'll develop a clearer understanding of how analysts can work with technical teams, evaluate data environments, identify useful information, and turn complex analytical results into decisions stakeholders can understand and act upon.Whether you are developing your big data skills, working as a business analyst, supporting data-driven projects, or seeking to better understand modern analytics infrastructure, this book provides a practical foundation for navigating today's rapidly evolving data landscape.Build the knowledge to work with big data-and turn information into better business decisions.…

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