Chapter 1 (Additional Questions): Evolution of Data Architectures

A dimensional model is described by a _____ schema

A ___table, which is the primary, or central table for the schema

A ________ provides the context surrounding the selected business process. In a sales scenario exam‐ ple, the list of dimensions could include product, customer, salesperson, and store

Data lakes require very large, scalable ______ systems, like the ones typically offered in cloud environments

High amounts of ______ power are required to process the large amounts of data stored in the storage layer

The shape of the data on disk defines the _______ .

Modern, cloud-based storage systems maintain _______ (i.e., contextual infor‐ mation about the data)

Delta Lake will make sure that all data lake transactions using Spark, or any other processing engine, are committed for durability and exposed to other readers in an atomic fashion

Traditional data lakes support transactional, atomic updates to the data. Delta Lake fully supports all DML operations, including deletes and updates, and complex data merge or upsert scenarios

The Delta Lake transaction log records every change made to the data, in the order that these changes were made.

Delta Lake cannot work with batch and streaming sinks or source

Delta Lake enforces a schema when writing or reading data from the lake. However, when explicitly enabled for a data entity, it allows for a safe schema evolution, enabling use cases where the data needs to evolve