Week 9 - Big Data Streaming

What is true about ETL and ELT in data integration?

• ETL is faster than ELT

• ETL is more suited for real-time applications

• ELT requires more storage space than ETL

• All the given answers are true

What is the main benefit of stream processing over batch processing?

• Handles large batches of data more effectively

• Requires more storage and processing power

• Offers lower latency in processing data

• Better suited for complex computation and analysis

Which of the following is a key characteristic of timeseries data?

• Data is unstructured

• Variation over time with timestamps

• Data is always numeric

• Constant stream of text data

Which type of data processing is suitable for real-time processing with low latency requirements?

• Batch processing

• Stream processing

Which of the following best describes time series data?

• Data that represents a single point in time, such as a snapshot of a database.

• Data that is collected and recorded over a continuous sequence of time intervals.

What is the role of a 'Consumer' in Apache Kafka?

• It writes data into Kafka.

• It reads and processes data from Kafka.

• It manages the Kafka cluster.

• It encrypts the data in Kafka.

In data streaming, what is a 'Data Packet'?

• A type of database used in Apache Kafka.

• A programming language for stream processing.

• A tool for data encryption.

• A unit of data sent over a network.

What is the purpose of 'Partitions' in Apache Kafka?

• To encrypt data streams.

• To divide topics for parallel processing.

• To compress data for faster transmission.

• To visualize data streams.

In the context of data streaming, what does 'ingest' refer to?

• Analyzing data

• Storing data

• Taking data into the system

• Visualizing data