In-Memory Data Management (内存数据库管理) (openHPI)

In-Memory Data Management (内存数据库管理) (openHPI)

The online course focuses on the management of enterprise data in column-oriented in-memory databases. Latest hardware and software trends led to the development of a new revolutionary technology that enables flexible and lightning-fast analysis of massive amounts of enterprise data.

The basic concepts and design principles of this technology are explained in detail. Beyond that, the implications of the underlying design principles for future enterprise applications and their development are discussed. Unbelievable things are possible and you will understand why this is true using an in-memory column-oriented database instead of a traditional row-oriented disk-based one.
A brief overview of the course content:

  • The future of enterprise computing
  • Basic and advanced database storage techniques
  • In-memory database operators
  • A new enterprise application development era
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

In-Memory Data Management (openHPI) OpenHPI
Hasso-Plattner-Institut

In-Memory Data Management (openHPI)

The „In-Memory Data Management" course in 2015 is the fourth iteration of Prof. Hasso Plattner's successful introduction into the inner mechanics of this recent technology. The course focuses on the management of enterprise data in column-oriented in-memory databases. Latest hardware and software trends led to the development of a new revolutionary database technology that enables flexible and lightning-fast analysis of massive amounts of enterprise data.

Self Paced
Self-Paced
Big Data Analytics (openHPI) OpenHPI
Hasso-Plattner-Institut

Big Data Analytics (openHPI)

In diesem kostenlosen offenen Online-Kurs führen wir Sie in das aktuelle und viel diskutierte Thema Big Data Analytics ein. Der sechswöchige Kurs wird Ihnen verständlich machen, warum Daten der Schatz des 21. Jahrhunderts sind und wie man diesen heben kann. Ob Finanzdienstleister, produzierende Unternehmen, Internet-Dienstleister oder Forschungszentren: In Wirtschaft und Wissenschaft wächst das Interesse, in dem gewaltig anschwellenden Meer an erhobenen und anfallenden Daten diejenigen herauszufischen, die es auf interessante Zusammenhänge hin zu analysieren sowie vernünftig zu strukturieren und zu verknüpfen gilt. So können schneller bessere Erkenntnisse gewonnen, Entscheidungen getroffen und Prognosen erstellt werden. Das Meer an Daten führt dann zu einem Mehr an Wissen!

Self Paced
Self-Paced
Machine Learning With Big Data (Coursera) Coursera
University of California, San Diego

Machine Learning With Big Data (Coursera)

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

Nov 9th 2026
5-12 Weeks
Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Nov 16th 2026
4 Weeks
La recherche documentaire (Coursera) Coursera
École Polytechnique

La recherche documentaire (Coursera)

Ce cours vise principalement à permettre aux étudiants d’identifier les sources pertinentes dans un domaine donné, leur apprendre à construire un état de l’art et à évaluer les sources, en particulier celles en accès libre sur Internet. Il cherche également à optimiser la recherche documentaire en incitant les étudiants à tirer le meilleur parti des outils et requêtes d’interrogation des bases de données. A l'issue de ce cours, ils devront être capables de construire et alimenter une bibliographie ordonnée, ainsi que de citer convenablement leurs sources pour éviter le plagiat.

Nov 23rd 2026
3 Weeks
Big Data: capstone project (Coursera) Coursera
Universitat Autònoma de Barcelona

Big Data: capstone project (Coursera)

En este último curso de la Especialización Big Data el estudiante tendrá la oportunidad de aplicar algunas de las herramientas y métodos aprendidos en los cursos anteriores en un caso práctico. El objetivo de este Capstone Project es mostrar un ejemplo del trabajo que se realiza diariamente en el departamento de Cosmología del Port d’Informació Científica, en Barcelona.

Nov 30th 2026
13-24 Weeks
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera)

In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is served as RESTful APIs. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics.

Nov 16th 2026
5-12 Weeks
Security and Privacy for Big Data - Part 2 (Coursera) Coursera
EIT Digital

Security and Privacy for Big Data - Part 2 (Coursera)

This course sensitizes regarding privacy and data protection in Big Data environments. You will discover privacy preserving methodologies, as well as data protection regulations and concepts in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all privacy and data protection related issues are under control.

Nov 16th 2026
1 Week
Web Application Development: Basic Concepts (Coursera) Coursera
University of New Mexico

Web Application Development: Basic Concepts (Coursera)

This is the first course in a Coursera Specialization track involving Web Application Architectures. This course will give you the basic background, terminology and fundamental concepts that you need to understand in order to build modern full stack web applications. A full stack web developer is familiar with each "layer" of the software technologies involved in a web application, including data modeling and database technologies, the web server environment and middleware components, network protocols, the user interface and basic visual design and user interaction concepts.

Nov 9th 2026
5-12 Weeks