ProjectPro

JUNE 6, 2025

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. Most of these are performed by Data Engineers.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Apache Kafka and Flume are distributed data systems, but there is a certain difference between Kafka and Flume in terms of features, scalability, etc. The below table lists all the major differences between Apache Kafka and Flume- Apache Kafka Apache Flume Kafka is optimized to ingest data and process streaming data in real-time.

Kafka 45

Kafka Bytes Java Big Data 45

ProjectPro

JUNE 6, 2025

As adoption continues to grow, mastering PySpark has become essential for pursuing careers in Big Data, necessitating thorough preparation to tackle challenging interviews successfully. RDDs provide fault tolerance by tracking the lineage of transformations to recompute lost data automatically.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Data engineers should carefully choose the most suitable data types for each column during the database design phase in any data engineering project. This decision impacts disk performance, resource allocation, and overall system efficiency. The VARBINARY data type is synonymous with the BINARY data type.

Bytes 40

Bytes Data Unstructured Data Structured Data 40

ProjectPro

JUNE 6, 2025

Key features Hadoop RDBMS Overview Hadoop is an open-source software collection that links several computers to solve problems requiring large quantities of data and processing. RDBMS is a part of system software used to create and manage databases based on the relational model. RDBMS stores structured data.

Big Data 40

Big Data Hadoop Relational Database AWS 40

Big Data Tools

JUNE 8, 2022

If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub! The most notable change in the latest release is support for streaming, which means you can now ingest data from streaming sources. Pulsar Manager 0.3.0 – Lots of enterprise systems lack a nice management interface.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub! The most notable change in the latest release is support for streaming, which means you can now ingest data from streaming sources. Pulsar Manager 0.3.0 – Lots of enterprise systems lack a nice management interface.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52