Question

What is an advantage of storing data in a Data Lake, without applying a specific
schema to it initially?
It allows more flexibility to use the data in various innovative ways.
It saves both developer time and company money by never having to design a schema.
It avoids corrupting the data by working with it before there is a clearly defined need,
It makes working with the data faster as data lakes are more efficient.
I don't know this yet.
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Answer 1

Answer:

It saves both developer time and company money by never having to design a schema.

Explanation:

• A data lake is a central storage repository that stores massive data in a raw, granular manner from several sources. It can store organized, semi-structured, and unstructured data, allowing for more flexible data storage for future usage. For speedier retrieval, a data lake associates data with IDs and metadata tags while storing it.
• The phrase "data lake" was coined by James Dixon, Pentaho's CTO, to describe the ad hoc nature of data in a data lake, as opposed to the clean and processed data held in typical data warehouse systems.
• The majority of data lakes are built on a cluster of low-cost, scalable commodity hardware. This permits data to be deposited into the lake and then retrieved without having to worry about storage space. On-premises or in the cloud, the clusters might exist.
• Data lakes are sometimes mistaken for data warehouses, but they have several key features that might help the proper businesses—especially when big data and big data operations shift from on-premises to the cloud.
• The schema-on-read concept governs the operation of a data lake. This implies that data does not need to be fitted into a preset schema before being stored. The data is only parsed and modified into a schema as needed when it is read during processing. This functionality helps you save a lot of time when it comes to building a schema. This also allows data to be saved in any format, as-is.
• Data lakes allow data scientists to access, prepare, and analyze data more quickly and accurately. This huge pool of data, which is available in a number of non-traditional forms, allows analytics specialists to access the data for a range of use cases such as sentiment analysis and fraud detection.

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Answer 2

Answer:

it allow more flexibility to use the data in various innovation ways