Overall architecture
Let's start with a high-level introduction to data architectures: what they do, why they're useful, when they should be used, and how Apache Spark fits in.
At their most general, modern data architectures have four basic characteristics:
- Data Ingestion
- Data Lake
- Data Science
- Data Access
Let's introduce each of these now, so that we can go into more detail in the later chapters.
Data Ingestion
Traditionally, data is ingested under strict rules and formatted according to a predetermined schema. This process is known as Extract, Transform, Load (ETL), and is still a very common practice supported by a large array of commercial tools ...
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