EGT308 Data Engineering for Solution Architecture

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Questions and Answers

What is the primary purpose of ingesting data from windfarms?

To enhance the energy output of the wind turbines.

To control wind turbines in real time to prevent costly repairs. (correct)

To analyze historical weather data trends.

To improve the aesthetic appeal of the wind turbines.

What service is used to ingest data from wind turbines?

Amazon S3

Amazon EC2

AWS IoT (correct)

Amazon RDS

How long can Kinesis Data Streams retain streaming data?

Up to 24 hours

Up to 1 month

Up to 1 week

Up to 1 year (correct)

What technique is mentioned for delivering ingested data to multiple resources?

Fan-out technique Signup and view all the answers

Which AWS service can be used to process the streaming data before storing it?

AWS Lambda Signup and view all the answers

After processing the data, where is it stored for further analytics?

Amazon S3 Signup and view all the answers

What is one of the key components of big data architecture?

Data ingestion Signup and view all the answers

What can Kinesis Data Streams provide besides data retention?

Replay capability Signup and view all the answers

Which factor is NOT typically considered when choosing a data store?

The customer demographics Signup and view all the answers

What unique feature does Amazon QuickSight offer to enhance data visualization?

Super-fast, Parallel, In-memory Calculation Engine (SPICE) Signup and view all the answers

Which of the following platforms is known for its open-source data visualization capabilities?

Kibana Signup and view all the answers

What type of data visualization does Tableau provide that is specifically designed for analyzing big data?

Purpose-built visual query engine Signup and view all the answers

Which visualization platform is prominently used for stream data visualization?

Kibana Signup and view all the answers

What is Spotfire primarily known for in terms of processing data?

In-memory processing Signup and view all the answers

How do visualization platforms like Tableau and Amazon QuickSight primarily enable user interactions?

Drag-and-drop interface Signup and view all the answers

Which of the following statements is true regarding the factors influencing data store selection?

Data structure plays a critical role. Signup and view all the answers

What is the primary purpose of visualizing data for business users?

To provide insights for further business decisions Signup and view all the answers

Which of the following statements is true regarding tightly coupled big data architectures?

They are prone to breakdowns across the pipeline Signup and view all the answers

What does the 'L' in FLAIR data principles stand for?

Lineage Signup and view all the answers

Why is accessibility important in data architecture?

It necessitates security credentials for data access Signup and view all the answers

Which principle emphasizes the importance of data's origin and flow?

Lineage Signup and view all the answers

What does reusability in data principles refer to?

The clear attribution of the data source and known schema Signup and view all the answers

Which tool is primarily used for transferring data between Hadoop and relational databases?

Apache Sqoop Signup and view all the answers

What is a major disadvantage of using a single tool to manage all stages of a data pipeline?

It creates a centralized point of failure Signup and view all the answers

What is the main purpose of Apache Flume?

Ingesting and aggregating log data Signup and view all the answers

Which FLAIR principle highlights the need for data to be consumable by various internal systems?

Interoperability Signup and view all the answers

Why might using only one type of storage solution, like an RDBMS, be a mistake in a big data environment?

It can lead to cost inefficiencies and insufficient handling of diverse data types. Signup and view all the answers

Which of the following tools is part of the Hadoop ecosystem and used for large data copying within clusters?

Apache DistCp Signup and view all the answers

What is a key feature of Apache Kafka in the context of big data?

It facilitates real-time data processing and analysis through stream storage. Signup and view all the answers

Which open-source tool is used for reliably processing unbounded data streams?

Apache Storm Signup and view all the answers

What is the purpose of stream storage solutions like Kafka?

To make log data available for real-time processing and analysis. Signup and view all the answers

What does the acronym RDBMS stand for in data storage?

Relational Database Management System Signup and view all the answers

What is the first step in the standard workflow of a big data pipeline?

Data ingestion Signup and view all the answers

Which aspect should be balanced while architecting data solutions regarding latency?

Throughput and cost Signup and view all the answers

In big data architecture, what does processed data do after analysis?

It is stored persistently. Signup and view all the answers

What is a key challenge of managing big data in the digital era?

Rapid data generation and analysis Signup and view all the answers

What is the main goal of a big data processing pipeline?

To transform data into actionable insights Signup and view all the answers

Which of the following is NOT a step included in the big data pipeline?

Data compression Signup and view all the answers

Why is it important to continuously innovate in the context of big data?

To maintain efficiency in data handling Signup and view all the answers

What does the term 'data visualization' refer to in big data architecture?

The representation of processed data visually Signup and view all the answers

What is a recommended practice for designing big data processing pipelines?

Decouple the pipeline between ingestion, storage, processing, and analytics. Signup and view all the answers

Which of the following is the most popular source for data ingestion?

Databases Signup and view all the answers

What characterizes transactional data storage?

It must be capable of quick data retrieval. Signup and view all the answers

When ingesting file data from connected devices, what is a common characteristic?

The transfer is often one-way to a single storage location. Signup and view all the answers

Which type of database is generally preferred for handling transactional processes?

NoSQL databases. Signup and view all the answers

What is the primary goal of data ingestion?

To collect and store data for future use. Signup and view all the answers

What is an important consideration when choosing an ingestion solution?

The type of data your environment collects. Signup and view all the answers

What should be considered when dealing with non-transactional file data?

It often does not require fast storage and retrieval. Signup and view all the answers

Study Notes

EGT308 AI Solution Architect Project

Topic 6 covers Data Engineering for Solution Architecture
Students will learn how to handle and manage big data needs
Big data architecture involves the flow of data from collection to insight
Key factors influence the design of a big data architecture.
A data pipeline includes stages like collecting, storing, processing/analyzing and visualizing data for insights.
Balancing throughput and cost are important considerations in designing data solutions.
The data pipeline should be decoupled between ingestion, storage, processing, and insight.
FLAIR data principles—Findability, Lineage, Accessibility, Interoperability, Reusability—are crucial for data architecture
Data ingestion involves collecting data for transfer and storage, and it can be from various sources like databases, streams, logs, etc
Choose a data store based on data structure, querying needs, data volume, and growth rate.
Popular data visualization platforms include Amazon QuickSight, Kibana, Tableau, Spotfire, JasperSoft, and Power BI
Big Data solutions repeat these workflows in ingestion, storage, transformation, and visualization
Some common big data architecture patterns include Data Lake architecture, Lakehouse architecture, Data Mesh architecture, and Streaming data architecture
Data lake architecture is a central repository for both structured and unstructured data, facilitating storage and analysis of large volumes of data.
Key benefits of a data lake architecture include ingestion from various sources, efficient and centralized storing of data regardless of its structure, scaling with growing data volumes, and applying analytics across different data sources.
Lakehouse architecture combines the benefits of data lakes and data warehouses.
Data storage follows open data formats.
Data lakehouse architecture ensures efficient data storage and distribution.
Data mesh architecture distributes data across domains while promoting shared ownership & governance.
Streaming data architecture handles high-velocity data streams using scalable storage and real-time processing.

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Description

This quiz focuses on Topic 6 of the EGT308 course, which delves into data engineering for solution architecture. Students will gain insights into big data architecture, data pipelines, and the key principles necessary for effective data management. The quiz also highlights important design considerations and the role of various data technologies in providing actionable insights.