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 Engineering 52

Data Engineering Data Engineer 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 Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Some important big data processing platforms are: Microsoft Azure.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

SEPTEMBER 26, 2021

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 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

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 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JUNE 29, 2021

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 40

Kafka Big Data Bytes Java 40

ProjectPro

NOVEMBER 22, 2021

Python has a large library set, which is why the vast majority of data scientists and analytics specialists use it at a high level. If you are interested in landing a big data or Data Science job, mastering PySpark as a big data tool is necessary. Is PySpark a Big Data tool?

Hadoop 52

Hadoop Python Datasets Metadata 52