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Big Data and therefore the Big Data Fundamentals training undeniably offers a lot of potential: new (open) data sources, often from outside the organization and with unknown structure and content, offer new possibilities for in-depth analysis and value creation. But making Big Data technically accessible alone is not enough. In particular, gaining insight into the meaning (semantics) of the Big Data, offering new analysis functionalities with which new or unexpected connections and insights are discovered, only deliver real business value and therefore deserve all the attention.
During Big Data Fundaments training we discuss the value and possibilities that Big Data can offer your organization and we combine current developments and challenges with concrete strategies and solutions.
Through this one-day Big Data Fundamentals course, you will gain insight into an up-to-date and applicable basic knowledge of the positioning of Big Data in the BI domain and a fine-tuning of Big Data definitions. Mapping the preconditions for success and a Big Data tool overview form the basis.
The crucial role of semantics is the common thread of the course: assigning relevant meaning to Big Data is one of the biggest challenges and is THE decisive success factor of Big Data. The course provides guidelines on how to assign this meaning in a smart way.
The primary goal of this one-day Big Data Fundamentals course is to gain up-to-date and applicable basic knowledge of the Big Data theme. Gaining insight into the positioning of Big Data in the BI domain, fine-tuning Big Data definitions, mapping the preconditions for success and the Big Data tool overview form the basis. In the course you will learn to recognize the importance of semantics and how meaning is assigned through Semantic Wikis and automated processes. You will also gain insight into: Big Data as part of information management, Big Data and its position in relation to Business Intelligence, assigning meaning to Big Data, the required Big Data components and market parties with semantic technology.
If this training doesn't quite suit you, take a look at our overview page for the category Information & Data Management.
For example, related workouts are the Visualization in Business Intelligence and the Business Intelligence & Data Warehouse Fundamentals but also the BCS Foundation in Business Analysis This is certainly the case if you really want to focus more on a business analysis role and the associated competencies and roles.
Because this course goes beyond the usual standard overview of Big Data tools and platforms, it is primarily intended for managers and professionals who want to learn how Big Data becomes truly valuable to the organization.
You do not need any prior knowledge for the Big Data Fundamentals training. There are therefore no admission requirements, but affinity with business intelligence, data management, information management or data warehousing is recommended.
The level of the Big Data Fundamentals training is MBO+.
1 day
There is no standard exam for this training / course, but on request we do have an exam available for the Big Data Fundamentals to test the knowledge of you or your staff.
If you register your company for a Big Data Fundamentals via D-ICT Solutions, you can always have one of our trainers/consultants visit you (or virtually) for an implementation session. During this afternoon or morning you will receive advice regarding the optimization or organization of Big Data Fundamentals within your organization by an experienced Big Data Fundamentals consultant/trainer.
The practice of the participants and the teachers has a central place within the program. The continuous interaction between current knowledge and application in practice is tackled directly with the help of the experts present.
The Big Data Fundamentals course is provided by professionals. This guarantees that this course contains above all theory, which is also directly applicable in practice.
More information about an important Software Library framework can be found on the website of Apache Hadoop.
