Data Engineering in the enterprise: How to accelerate and scale your data pipeli

Presented by

Santiago Giraldo, Shaun Ahmadian

About this talk

For enterprise organizations, building robust data pipelines has become increasingly resource-intensive. Modern data engineering requires more advanced data lifecycle integration for streamlining security, governance, and maintaining data quality to enable advanced analytics and machine learning at scale. To tackle these challenges, enterprise organizations need a comprehensive and integrated data engineering experience for data pipeline preparation and management. JOIN THIS WEBINAR TO: Learn how Cloudera enables streamlined scheduling and workflow orchestration with Apache Airflow for analytical services such as Data Warehousing and Machine Learning using Spark Experience visual, self-service troubleshooting and complete monitoring service for identifying and solving issues quickly Explore how the Cloudera Shared Data Experience breaks down data silos and enables enterprise-grade security, governance and lineage tracking for data workflows
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At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. To that end, we deliver an Enterprise Data Cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open-source community, Cloudera accelerates digital transformation for the world’s largest enterprises.