This training is for professional development purposes and the certificate received does not replace the MYK authorization certificate required for mandatory training with MYK certification.

Training Content

• Relational databases, E-R diagrams, and traditional data storage and querying technologies.
• SQL language beginner level.
• Introduction to Big Data: Concepts, terminology, characteristics, and the 5Vs, structured, unstructured, semi-structured data, and metadata types of big data.
• Big Data Storage and Analysis: Concepts of storage such as clusters, distributed file systems, RDBMS, NoSQL, sharding, memory storage, as well as parallel, distributed, batch data processing, and concepts of big data processing like Hadoop.
• HADOOP structure and commands.
• HDFS file system.
• Big Data Analysis Techniques: Quantitative, qualitative data mining, statistical analysis, Machine Learning, semantic analysis, and visual data analysis techniques and topics.
• MapReduce Framework and Hadoop: Parallel processes and other design patterns for big data processing. HDFS, YARN, and Hue.
• Pig applications.
• MapReduce API with Java.
• Basic Programming.
• Hive applications and applications on data warehouses.
• Spark Usage (RDD-Spark).
• Flume and Kafka.
• Spark data streaming, Kafka, and Cassandra usage.
• Spark with MLLib, Machine Learning applications.
• Visualization in Big Data Clusters.

Training Goal

The aim of this training is to teach the technologies used for processing, storing, and analyzing Big Data.

Corporate Participation

The training is open to corporate cooperation (institution/company legal entity package) and individual applications are not accepted. The training content can be re-planned according to the corporate participant profile and your needs. After mutual discussions, the scope of the training and the method of the training (In-Person, Online) will be determined, and the relevant processes will be completed. In case of mutual agreement, the suitable dates and times for the participants of your institution will be arranged with our instructors, and the location of the training will be determined.