Feature Engineering Foundations in Python with Scikit-learn

Free Live ML Workshop #2 on Aug 6 - Register Now

dotsdots

Big Data Modeling and Management Systems

Description

Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Big Data Modeling and Management Systems are most similar to the requirements found in Data Engineer job advertisements.

Similarity Scores (Out of 100)