ProjectPro

JUNE 6, 2025

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. Sqoop hadoop can also be used for exporting data from HDFS into RDBMS. into HBase, Hive or HDFS.

ETL Tools 40

ETL Tools Hadoop Relational Database Unstructured Data 40

ProjectPro

JUNE 6, 2025

This blog will walk you through the fundamentals of how to learn ETL, including ETL tools and testing, and some valuable ETL resources, making your ETL journey as smooth as a well-optimized data flow. Let’s jump right into your ETL journey! Table of Contents How To Learn ETL For Beginners?

ETL Tools 45

ETL Tools AWS Data Validation Big Data 45

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. Sqoop hadoop can also be used for exporting data from HDFS into RDBMS. into HBase, Hive or HDFS.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JUNE 6, 2025

Once the data has been extracted, it needs to be stored in a reliable and scalable data storage platform like AWS S3. The extracted data can be loaded into AWS S3 using various ETL tools or custom scripts. to accumulate data over a given period for better analysis.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Talend Projects For Practice: Learn more about the working of the Talend ETL tool by working on this unique project idea. Talend Real-Time Project for ETL Process Automation This Talend big data project will teach you how to create an ETL pipeline in Talend Open Studio and automate file loading and processing.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

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 enables systems using Kafka to aggregate data from many sources and to make it consistent. Instead of interfering with each other, Kafka consumers create groups and split data among themselves.

Kafka 93

Kafka Hadoop ETL Tools Java 93

ProjectPro

JUNE 6, 2025

Non-relational databases are ideal if you need flexibility for storing the data since you cannot create documents without having a fixed schema. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Data engineers use the organizational data blueprint to collect, maintain and prepare the required data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40