A large, all-purpose law firm collects a lot of unstructured data in many different formats. Some of the data includes photos, videos, and emails. Where could a user opt to store these data?

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BlackTom AI · Accepted Answer

To approach this question, I’ll evaluate what each option represents and whether it suits storing unstructured data like photos, videos, emails, and other formats.
Option 1: data lake. A data lake is designed to store large volumes of raw, unprocessed data in their native formats, including unstructured data such as images, videos, emails, and text. It’s well-suited for diverse data types from disparate sources because it doesn’t require upfront schema and supports later processing and analytics. This makes it a strong match for an all-purpose law firm collecting varied unstructured data.
Option 2: data warehouse. A data warehouse is optimized for structured, curated data that has been cleaned and transformed for reporting and business intelligence. It typically stores data in a defined schema and is excellent for SQL-based analytics on structured data, but it is not ideal for raw unstructured data like multimedia files or emails in their native forms, since it requires heavy ETL and schema design beforehand. This makes it a poorer fit for the scenario described.
Option 3: database. A database is a general term that often implies structured data storage with predefined schemas (think relational databases). While databases can store unstructured data to some extent (e.g., BLOBs), they’re not optimized for large-scale unstructured data ingestion and discovery across diverse formats. For an environment with photos, videos, and emails, a broader, more flexible solution is typically preferred over a traditional database.
Option 4: data platform. A data platform refers to a broader infrastructure that enables data ingestion, storage, processing, and analytics, and may encompass various technologies including data lakes and data warehouses. While it could be part of a solution, the phrasing is less specific about the primary storage construct for unstructured data, and it doesn’t explicitly identify the storage type best suited for raw, varied data like the scenario requires.
Overall, the option that best fits the need to store large volumes of unstructured data in many formats is data lake, as it accommodates raw formats and scales with diverse data types. The other options emphasize structured storage, traditional databases, or broader platform concepts that don’t directly address unstructured data storage at scale.

MGS303003 Quiz#2 (over Ch 3, 2/4)

A large, all-purpose law firm collects a lot of unstructured data in many different formats. Some of the data includes photos, videos, and emails. Where could a user opt to store these data?

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MGS*3030*03 Quiz#2 (over Ch 3, 2/4)

A large, all-purpose law firm collects a lot of unstructured data in many different formats. Some of the data includes photos, videos, and emails. Where could a user opt to store these data?

View Explanation

Log in for full answers

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MGS303003 Quiz#2 (over Ch 3, 2/4)