Data Integration in Big Data Analytics

Description: Test your understanding of Data Integration in Big Data Analytics.
Number of Questions: 15
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Tags: big data analytics data integration data warehousing etl elt
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Which of the following is NOT a common data integration tool?

  1. Apache Spark

  2. Apache Flink

  3. Apache Kafka

  4. Tableau


Correct Option: D
Explanation:

Tableau is a data visualization tool, not a data integration tool.

What is the process of extracting, transforming, and loading data from various sources into a single, unified repository called?

  1. Data Integration

  2. Data Warehousing

  3. ETL

  4. ELT


Correct Option: C
Explanation:

ETL stands for Extract, Transform, Load, which is a common data integration process.

Which of the following is NOT a common data integration pattern?

  1. Batch Processing

  2. Real-time Processing

  3. Lambda Architecture

  4. Kappa Architecture


Correct Option: D
Explanation:

Kappa Architecture is a data processing pattern used for streaming data, not data integration.

What is the process of combining data from multiple sources into a single, unified view called?

  1. Data Integration

  2. Data Warehousing

  3. Data Lake

  4. Data Hub


Correct Option: A
Explanation:

Data Integration is the process of combining data from multiple sources into a single, unified view.

Which of the following is NOT a common data integration challenge?

  1. Data Quality

  2. Data Volume

  3. Data Variety

  4. Data Security


Correct Option: D
Explanation:

Data Security is not a common data integration challenge, but rather a data management challenge.

What is the process of transforming data from one format to another called?

  1. Data Transformation

  2. Data Cleansing

  3. Data Enrichment

  4. Data Standardization


Correct Option: A
Explanation:

Data Transformation is the process of transforming data from one format to another.

Which of the following is NOT a common data integration tool?

  1. Apache NiFi

  2. Talend

  3. Informatica PowerCenter

  4. Microsoft SQL Server Integration Services


Correct Option: D
Explanation:

Microsoft SQL Server Integration Services is a data integration tool specific to the Microsoft SQL Server platform.

What is the process of cleaning and correcting data errors called?

  1. Data Cleansing

  2. Data Validation

  3. Data Profiling

  4. Data Standardization


Correct Option: A
Explanation:

Data Cleansing is the process of cleaning and correcting data errors.

Which of the following is NOT a common data integration architecture?

  1. Hub-and-Spoke

  2. Star Schema

  3. Snowflake Schema

  4. Data Vault


Correct Option: B
Explanation:

Star Schema is a data warehouse architecture, not a data integration architecture.

What is the process of enriching data with additional information called?

  1. Data Enrichment

  2. Data Augmentation

  3. Data Annotation

  4. Data Labeling


Correct Option: A
Explanation:

Data Enrichment is the process of enriching data with additional information.

Which of the following is NOT a common data integration tool?

  1. IBM InfoSphere DataStage

  2. Oracle Data Integrator

  3. SAP Data Services

  4. SAS Data Integration Studio


Correct Option: D
Explanation:

SAS Data Integration Studio is a data integration tool specific to the SAS platform.

What is the process of standardizing data formats and values called?

  1. Data Standardization

  2. Data Normalization

  3. Data Harmonization

  4. Data Consolidation


Correct Option: A
Explanation:

Data Standardization is the process of standardizing data formats and values.

Which of the following is NOT a common data integration challenge?

  1. Data Silos

  2. Data Redundancy

  3. Data Inconsistency

  4. Data Lineage


Correct Option: D
Explanation:

Data Lineage is not a common data integration challenge, but rather a data management challenge.

What is the process of combining data from multiple sources into a single, unified repository called?

  1. Data Integration

  2. Data Warehousing

  3. Data Lake

  4. Data Hub


Correct Option: B
Explanation:

Data Warehousing is the process of combining data from multiple sources into a single, unified repository.

Which of the following is NOT a common data integration tool?

  1. Amazon Redshift Spectrum

  2. Google BigQuery

  3. Microsoft Azure Synapse Analytics

  4. Snowflake


Correct Option: D
Explanation:

Snowflake is a cloud-based data warehouse, not a data integration tool.

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