Modern applications generate and manipulate a lot of data. The growth rate of the data is staggering. Unfortunately, large datasets can be expensive to store at large scale and also slow to process. In fact, memory speed has been evolving at a much lower rate in comparison to CPUs. Thankfully, there are various file formats suited for big data systems to help. In this webinar, you will learn about two popular file formats suitable for big data systems: Avro and Parquet. Through live coded examples in Python, you will learn the good, the bad, the ugly, and how you can make use of Avro and Parquet in practice.
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In the meantime watch our previous webinar here! https://www.youtube.com/watch?v=4wqn0VW-Vc8
<a href="https://cambridgespark.com/webinar"></a> About the speaker: Dr Raoul-Gabriel Urma
Raoul-Gabriel Urma is CEO of Cambridge Spark, a leading learning community for data scientists and developers. Raoul is author of the bestselling programming book "Java 8 in Action" which sold over 20,000 copies globally. He completed a PhD in Computer Science at the University of Cambridge. In addition, he holds a MEng in Computer Science from Imperial College London and graduated with first class honours having won several prizes for technical innovation. Raoul has delivered over 100 technical talks at international conferences. He has worked for Google, eBay, Oracle, and Goldman Sachs, and a Fellow of the Royal Society of Arts.
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