Data Lake Zoning

Parth Patel, et al, explain that there ought to be several zones of data within a data lake:

Within a Data Lake, zones allow the logical and/or physical separation of data that keeps the environment secure, organized, and Agile. Typically, the use of 3 or 4 zones is encouraged, but fewer or more may be leveraged. A generic 4-zone system might include the following:

  1. Transient Zone — Used to hold ephemeral data, such as temporary copies, streaming spools, or other short-lived data before being ingested.
  2. Raw Zone – The zone in which raw data will be maintained. This is also the zone where sensitive data must be encrypted, tokenized, or otherwise secured.
  3. Trusted Zone – After Data Quality, Validation, or other processing is performed on data in the Raw Zone, it becomes the “source of truth” in this zone for downstream systems.
  4. Refined Zone – Manipulated and enriched data is kept in this zone. This is used to store the output from tools like Hive or external tools that will write into to the Data Lake.

Your particular situation may differ but I’d consider this to be good advice no matter where or how you’re storing data, such as a classical data warehouse or an ODS.

Related Posts

Azure Data Lake Analytics Pipelines

Yan Li notes that Azure Data Lake Analytics now offers the ability to manage pipelines: To make it easier to manage and understand jobs, ADLA now captures the pipeline and recurrence information for each job. This information can be used to connect and organize jobs belonging to the same pipeline or recurring instances. As shown in Fig […]

Read More

Long-Term Storage In Kafka

Jay Kreps shows us that you can use Kafka as a primary data store: The short answer is that it’s not insane, people do this all the time, and Kafka was actually designed for this type of usage. But first, why might you want to do this? There are actually a number of use cases, […]

Read More

Categories

April 2017
MTWTFSS
« Mar May »
 12
3456789
10111213141516
17181920212223
24252627282930