ProjectPro

JUNE 6, 2025

Understanding of Data modeling tools (e.g., ERWin, Enterprise Architect, and Visio) Knowledge of application server software like Oracle Knowledge of agile methodologies and ETL tools. Understanding the system development life cycle, project management methodologies, design, and testing procedures.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

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

ProjectPro

JUNE 6, 2025

From working with raw data in various formats to the complex processes of transforming and loading data into a central repository and conducting in-depth data analysis using SQL and advanced techniques, you will explore a wide range of real-world databases and tools. Hadoop, Spark), and databases (e.g., stars and 1,004 reviews.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

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 40

Project Kafka AWS Data Pipeline 40

ProjectPro

JUNE 6, 2025

What sets Azure Data Factory apart from conventional ETL tools? Azure Data Factory stands out from other ETL tools as it provides: - Enterprise Readiness: Data integration at Cloud Scale for big data analytics! ii) Data transformation using computing services such as HDInsight, Hadoop , Spark, etc.

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

Spark is incredibly fast in comparison to other similar frameworks like Apache Hadoop. It is approximately 100 times quicker than Hadoop since it uses RAM rather than local memory. Compatibility with Hadoop - Spark can operate independently of Hadoop and on top of it. This is said to be one of its main drawbacks.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

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 ETL Tools Java 93

ProjectPro

JUNE 6, 2025

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

ProjectPro

JUNE 6, 2025

Airflow also allows you to utilize any BI tool, connect to any data warehouse, and work with unlimited data sources. Talend Projects For Practice: Learn more about the working of the Talend ETL tool by working on this unique project idea. You must first create a connection to the MySQL database to use Talend to extract data.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Airflow is an open-source workflow management tool by Apache Software Foundation (ASF), a community that has created a wide variety of software products, including Apache Hadoop , Apache Lucene, Apache OpenOffice, Apache CloudStack, Apache Kafka , and many more. Is Apache Airflow an ETL tool? What is Apache airflow?

MySQL 64

MySQL Python SQL Database 64

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 Kafka AWS 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 Retail Healthcare 52

ProjectPro

DECEMBER 7, 2021

Airflow also allows you to utilize any BI tool, connect to any data warehouse, and work with unlimited data sources. Talend Projects For Practice: Learn more about the working of the Talend ETL tool by working on this unique project idea. You must first create a connection to the MySQL database to use Talend to extract data.

Data Pipeline 52

Data Pipeline Architecture Kafka Data Lake 52

AltexSoft

AUGUST 29, 2023

Common structured data sources include SQL databases like MySQL, Oracle, and Microsoft SQL Server. Tools often used for batch ingestion include Apache Nifi, Flume, and traditional ETL tools like Talend and Microsoft SSIS. This zone utilizes storage solutions like Hadoop HDFS, Amazon S3, or Azure Blob Storage.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JUNE 6, 2025

Whether you are looking to migrate your data to GCP, automate data integration, or build a scalable data pipeline, GCP's ETL tools can help you achieve your data integration goals. Numerous efficient ETL tools are available on Google Cloud, so you won't have to perform ETL manually and risk compromising the integrity of your data.

ETL Tools 40

ETL Tools Big Data Google Cloud Project 40