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.
Informações sobre o curso
Habilidades que você terá
Universidade da Califórnia, San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
- 5 stars58,32%
- 4 stars28,21%
- 3 stars9,14%
- 2 stars2,54%
- 1 star1,76%
Principais avaliações do BIG DATA MODELING AND MANAGEMENT SYSTEMS
Big Data modeling is important consideration while designing big data solution. Most of other online courses lacks this module. Thanks to coursera for bringing this course. Five star.
Excellent course for Big Data scientists, teaches concepts in an easy to learn and implement using hands on exercises which makes one more confident about the subject.
Was a very hands-on experience with the Hadoop ecosystem streaming and analysis of live tweets from twitter gave a general outlook on how to perform simple operations with the HDFS
Great overview of a few databases and what they are good at. Would have liked actual hands-on like installing a database and demonstrating the key feature the database is good at.
Sobre Programa de cursos integrados Big DataBig Data
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
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