Hadoop has emerged as the de facto platform for high-scale data analysis, but many enterprises are struggling to navigate and make use of the information in their growing data lakes. Internet giants with big engineering and data science teams have been tolerant of primitive tools and coding-intensive methods, but traditional enterprises want more accessible and mature data access, management and prep options suited to enterprise IT and data-management professionals.
Fortunately, we’re seeing a rich ecosystem emerging around Hadoop to make these activities easier and more repeatable so companies can turn data into insights and better decisions. Watch this recorded webinar with industry analyst Doug Henschen to learn about emerging commercial and open-source options designed to work with Hadoop and make big data lakes more accessible and value-driving for the average enterprise.
In this webinar, you’ll learn about:
- Data lake cataloging and metadata management options
- Big data integration and data-prep options and trends
- Apache Spark and its role in data processing, data streaming and analysis
You’ll also see a demonstration of SnapLogic’s modern data integration platform, including the new Spark Data Pipelines.