Get more value out of your data
Many organisations face growing volumes of data. Extracting value from all this data can be challenging, since traditional systems based on relational databases are not suitable for big data. This course is focused on the Hadoop and Spark ecosystems and will teach the skills needed to build modern big data applications.
The course will put emphasis on giving the participants practical hands-on experience with the tools. The technologies introduced as part of the course will be centered around the Hadoop/Spark open source ecosystem.
The course will be as vendor neutral as possible, but the practical hands-on exercises will be run on Google Cloud Platform. All the principles taught will be transferable to other cloud providers or to on-premise solutions and differences between providers will be highlighted where relevant.
The course is for those who want to know about Big data technologies.
Course participants should have prior experience with writing code for data analysis, but no prior knowledge of Hadoop or Spark is required. In this instructor-led course, participants will go through hands-on sessions with planned exercises. The exercises will be in the Python programming language, but the focus will be on the overall concepts, not the particulars of the programming language, so deep knowledge of Python is not required for participants with programming experience from other languages. Hadoop and Spark readily supports Scala, Java and Python.
Participants are expected to bring their own laptop to the class, everything else needed for the course is provided.
The two-day course will be instructor led with hands-on exercises. The focus will be on giving the participants the knowledge and the confidence to get started with modern distributed data processing. The technologies that we will work with includes Apache Hadoop, Apache Spark and Hbase/BigTable.
During the course:
The course will be held during the period at 9 am to 4 pm both days. We will provide food, breakfast, lunch and afternoon cake.
After the course:
After the course, participants will receive a course certificate.