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.
Ce cours fait partie de la Spécialisation Big Data
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Spécialisation Big DataUniversité de Californie à San DiegoÀ propos de ce cours
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Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Coréen, Allemand, Russe, Turc, Anglais, Espagnol
Compétences que vous acquerrez
- Data Model
- Big Data
- Data Modeling
- Data Management
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 6 dans le
Approx. 13 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Coréen, Allemand, Russe, Turc, Anglais, Espagnol
Offert par
Université de Californie à 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.
Programme de cours : ce que vous apprendrez dans ce cours
3 heures pour terminer
Introduction to Big Data Modeling and Management
Welcome to this course on big data modeling and management. Modeling and managing data is a central focus of all big data projects. In these lessons we introduce you to the concepts behind big data modeling and management and set the stage for the remainder of the course.
3 heures pour terminer
14 vidéos (Total 63 min), 8 lectures
3 heures pour terminer
Big Data Modeling
Modeling big data depends on many factors including data structure, which operations may be performed on the data, and what constraints are placed on the models. In these lessons you will learn the details about big data modeling and you will gain the practical skills you will need for modeling your own big data projects.
3 heures pour terminer
11 vidéos (Total 52 min), 8 lectures, 1 quiz
2 heures pour terminer
Big Data Modeling (Part 2)
These lessons continue to shed light on big data modeling with specific approaches including vector space models, graph data models, and more.
2 heures pour terminer
5 vidéos (Total 31 min), 5 lectures, 1 quiz
2 heures pour terminer
Working With Data Models
Data models deal with many different types of data formats. Streaming data is becoming ubiquitous, and working with streaming data requires a different approach from working with static data. In these lessons you will gain practical hands-on experience working with different forms of streaming data including weather data and twitter feeds.
2 heures pour terminer
6 vidéos (Total 29 min), 7 lectures, 1 quiz
Avis
- 5 stars58,33 %
- 4 stars28,23 %
- 3 stars9,14 %
- 2 stars2,51 %
- 1 star1,76 %
Meilleurs avis pour BIG DATA MODELING AND MANAGEMENT SYSTEMS
par PV19 nov. 2019
The content is really good and informative. More hands-on would be helpful. Extending the tree structure problem in the pink flamingo exercise was bit confusing.
par DN22 nov. 2016
Pretty good overall, although some exercises are a bit difficult to understand from the descriptions and instructions given, some graphs and initial reference documentation for exercises might help
par NC10 mai 2020
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
par YG30 oct. 2016
Overall relevant and clear presentations. Course material quite general, but I guess this is expected from an introductory-level course.
Peer-reviewed assignment's instructions can be clearer.
À propos du Spécialisation Big 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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