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

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 Big Data ETL Tools 93

ProjectPro

DECEMBER 7, 2021

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 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JULY 27, 2021

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. E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Hadoop is a user-friendly open source framework.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40