Azure NoSQL Data Store: Low-Latency, High-Performance Option to Query Structured and Semi-Structured Data

Low-Latency NoSQL Data Store for Flexible Data Queries

Question

There are a number of various analytical data stores that use different languages, models, and provide different capabilities.

Which of the following is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data?

Answers

Explanations

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A. B. C. D. E.

Correct Answer: B

HBase is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data.

The primary data model used by HBase is the Wide column store.

Option A is incorrect.

Azure Synapse is a managed service depending upon the SQL Server database technologies and is optimized for supporting large-scale data warehousing workloads.

Option B is correct.

HBase is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data.

Option C is incorrect.

Spark SQL is an API developed on Spark that enables the creation of data frames and tables which are possible to be queried using SQL syntax.

Option D is incorrect.

It is HBase, not Hive that is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data.

Option E is incorrect.

HBase is the right answer.

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The correct answer to the question is option B, HBase.

HBase is a low-latency NoSQL data store that is designed to store and manage large volumes of structured and semi-structured data in real-time. It is an open-source, distributed database that is built on top of Hadoop Distributed File System (HDFS). HBase provides a flexible data model and allows users to store and retrieve data quickly and efficiently.

Some of the key features of HBase are:

  1. Scalability: HBase is designed to scale horizontally, which means that it can handle large volumes of data by adding more nodes to the cluster.

  2. Low latency: HBase provides fast and low-latency data access, which makes it ideal for real-time applications.

  3. Flexible data model: HBase provides a flexible data model that can handle structured, semi-structured, and unstructured data.

  4. High availability: HBase is designed to provide high availability by replicating data across multiple nodes in the cluster.

On the other hand, Azure Synapse Analytics is a cloud-based analytics service that provides an end-to-end analytics solution, including data integration, data warehousing, and big data analytics. It is built on top of Azure Data Lake Storage and supports various data sources and programming languages.

Spark SQL is a module in Apache Spark that provides a SQL interface for data processing. It allows users to query structured and semi-structured data using SQL syntax.

Hive is another data warehouse tool that provides a SQL-like interface for querying and analyzing large datasets stored in Hadoop Distributed File System (HDFS).

In summary, among the given options, HBase is the low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data.