Remove Bytes Remove Kafka Remove Metadata Remove Portfolio
article thumbnail

100+ Kafka Interview Questions and Answers for 2023

ProjectPro

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40
article thumbnail

How to Become a Big Data Engineer in 2023

ProjectPro

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. Industries generate 2,000,000,000,000,000,000 bytes of data across the globe in a single day.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

50 PySpark Interview Questions and Answers For 2023

ProjectPro

StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. To define the columns, PySpark offers the pyspark.sql.types import StructField class, which has the column name (String), column type (DataType), nullable column (Boolean), and metadata (MetaData).

Hadoop 52
article thumbnail

HBase Interview Questions and Answers for 2023

ProjectPro

Recommended Reading: Top 50 NLP Interview Questions and Answers 100 Kafka Interview Questions and Answers 20 Linear Regression Interview Questions and Answers 50 Cloud Computing Interview Questions and Answers HBase vs Cassandra-The Battle of the Best NoSQL Databases 3) Name few other popular column oriented databases like HBase.

Hadoop 40
article thumbnail

Top 100 Hadoop Interview Questions and Answers 2023

ProjectPro

Avro files store metadata with data and also let you specify independent schema for reading the files. If the primary NameNode goes down, the standby will take its place using the most recent metadata that it has. There is a pool of metadata which is shared by all the NameNodes. RowKey is internally regarded as a byte array.

Hadoop 40