Summary
With that, we have come to the end of our second chapter. We explored the various data lake designs in detail and learned good practices for designing one. You should now be comfortable answering questions related to data lake architectures and the storage, compute, and other technologies involved in creating a data lake. You should also be familiar with common file formats such as Avro, Parquet, and ORC and know when to choose which file formats. We also explored different optimization techniques such as data pruning, partitioning, caching, indexing, and more. We also learned about folder structures, data distribution, and finally, designing a data life cycle by using policies to archive or delete data. This covers the syllabus for DP-203 exam, Design a Data Storage Structure chapter. We will be reinforcing the learnings from this chapter via implementation details and tips in the following chapters.
Let's explore the concept of partitioning in more detail in the next...