ProjectPro

OCTOBER 28, 2015

Some of the common challenges with data ingestion in Hadoop are parallel processing, data quality, machine data on a higher scale of several gigabytes per minute, multiple source ingestion, real-time ingestion and scalability. Flume has a simple event driven pipeline architecture with 3 important roles-Source, Channel and Sink.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

DareData

JULY 5, 2023

The architecture of a data lake project may contain multiple components, including the Data Lake itself, one or multiple Data Warehouses or one or multiple Data Marts. The Data Lake acts as the central repository for aggregating data from diverse sources in its raw format.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. This scenario involves three main characters — publishers, subscribers, and a message or event broker. A subscriber is a receiving program such as an end-user app or business intelligence tool.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Knowledge Hut

NOVEMBER 17, 2023

To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases. You should be able to create intricate queries that use subqueries, join numerous tables, and aggregate data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

DECEMBER 7, 2021

Data pipelines must be scalable due to the volume of big data, which might fluctuate over time. The big data pipeline must process data in large volumes concurrently because, in reality, multiple big data events are likely to occur at once or relatively close together.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JULY 27, 2021

Data engineers use the organizational data blueprint to collect, maintain and prepare the required data. Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40