ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Kafka vs Hadoop. The Good and the Bad of Katalon Automation Testing Tool.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

AltexSoft

OCTOBER 8, 2021

The tool supports all sorts of data loading and processing: real-time, batch, streaming (using Spark), etc. ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

FEBRUARY 18, 2022

Grafana generates graphs by connecting to various sources such as influxDB and MySQL. Source Code- Real-Time E-commerce Dashboard with Spark, Grafana, and InfluxDB Build an End-to-End ETL Pipeline on AWS EMR Cluster Sales data aids in decision-making, better knowledge of your clients, and enhances future performance inside your company.

Project 52

Project AWS Kafka Healthcare 52

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Briefly define COSHH.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Knowledge Hut

MAY 2, 2024

It does work with a variety of other Data sources like Cassandra, MySQL, AWS S3 etc. Features of Spark Speed : According to Apache, Spark can run applications on Hadoop cluster up to 100 times faster in memory and up to 10 times faster on disk. Most of the production-grade and large clusters use YARN and Mesos as the resource manager.

Scala 52

Scala Hospitality Machine Learning Healthcare 52