ProjectPro

JUNE 6, 2025

AWS Glue- 5 Key Differences Between Them Here are five primary differences between AWS Data Pipeline ETL vs. Glue to help you decide on the best AWS ETL tool. Features AWS Data Pipeline AWS Glue Supported Data Sources AWS Data Pipeline supports Amazon S3, DynamoDB, RDS, and Redshift.

ETL Tools 40

ETL Tools AWS Data Pipeline Amazon Web Services 40

Towards Data Science

MAY 7, 2024

A list to make evaluating ELT/ETL tools a bit less daunting Photo by Volodymyr Hryshchenko on Unsplash We’ve all been there: you’ve attended (many!) meetings with sales reps from all of the SaaS data integration tooling companies and are granted 14 day access to try their wares.

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ProjectPro

JUNE 6, 2025

Suppose you compare it with any other data-related job such as ETL developer. In that case, there are merely around 48,000 ETL developer job ads in the US offering an average annual salary of $95,312. According to LinkedIn, there are over 295,000 ETL Informatica developer jobs in the USA.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

ETL tools , such as AWS Glue, efficiently improve your data quality, which BI tools can leverage for various purposes, including analyzing customer trends, maximizing operational efficiency, boosting user experience, enhancing business performance, and more.

AWS 40

AWS IT Data Lake BI 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?

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ETL Tools AWS Big Data Data Validation 45

ProjectPro

JUNE 6, 2025

Since data needs to be accessible easily, organizations use Amazon Redshift as it offers seamless integration with business intelligence tools and helps you train and deploy machine learning models using SQL commands. Is Amazon Redshift an ETL tool? What is Amazon Redshift used for? How to practice Amazon Redshift?

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Data Pipeline AWS Project Building 64

ProjectPro

JUNE 6, 2025

ETL is an abbreviation for extract-transform-load. These three database functions have been combined into a single tool to enable data extraction from one database and to store or maintain it in another. ETL is considered to be an essential part of data warehousing architecture in business processes worldwide.

Data Engineering 45

Data Engineering Data Engineer ETL Tools Engineering 45

Hevo

MARCH 28, 2024

Are you confused about What is ETL Tool? Do you want to gain a clear idea about how ETL Tools work and how they come in handy for a business? This article aims at providing you with an in-depth guide about ETL Tools. Well, look no further! It will help you gain knowledge about what […]

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ETL Tools IT Data Integration Data 52

ProjectPro

JUNE 6, 2025

Whether you are a data engineer, BI engineer , data analyst, or an ETL developer , understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. You have probably heard the saying, "data is the new oil". Well, it surely is!

BI 45

BI ETL Tools Retail Healthcare 45

ProjectPro

JUNE 6, 2025

ETL is a critical component of success for most data engineering teams, and with teams harnessing it with the power of AWS, the stakes are higher than ever. Data integration with ETL has changed in the last three decades. In the past, ETL processing was focused on structured data stores with high computing costs.

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AWS Data Management ETL Tools Management 40

ProjectPro

OCTOBER 28, 2015

Apache Sqoop and Apache Flume are two popular open source etl tools for hadoop that help organizations overcome the challenges encountered in data ingestion. Table of Contents Hadoop ETL tools: Sqoop vs Flume-Comparison of the two Best Data Ingestion Tools What is Sqoop in Hadoop?

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ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JUNE 6, 2025

billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. With the right tools, mindset, and hands-on experience, you can become a key player in transforming how organizations use data to drive innovation and decision-making.

Data Engineering 40

Data Engineering Data Engineer ETL Tools Engineering 40

ProjectPro

JUNE 6, 2025

ETL offers a single reliable source of information for an organization to evaluate its operations and performance, make logical decisions about its objectives, and achieve its target. These companies gather data from multiple on-premise databases or cloud-hosted business apps using ETL or ELT , then load it into their cloud datastore.

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ETL Tools Project MySQL Banking 40

ProjectPro

JUNE 6, 2025

5 Key Differences Between AWS Glue vs. EMR Below are the five key differences between AWS Glue vs. EMR that will give you a clear understanding of which ETL tool is better for your next big data or data engineering project. It creates highly scalable ETL jobs for distributed processing in an Apache framework.

Big Data 52

Big Data AWS Amazon Web Services Project 52

ProjectPro

JUNE 6, 2025

ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization. The role of an ETL developer is to extract data from multiple sources, transform it into a usable format and load it into a data warehouse or any other destination database.

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ETL Tools Data Cleanse Data Warehouse Big Data 40

Hevo

JULY 1, 2024

As data continues to grow in volume and complexity, the need for an efficient ETL tool becomes increasingly critical for a data professional. ETL tools not only streamline the process of extracting data from various sources but also transform it into a usable format and load it into a system of your choice.

ETL Tools 40

ETL Tools Systems Process IT 40

Cloudyard

MAY 4, 2025

Read Time: 3 Minute, 21 Second Snowflake and DBT (Data Build Tool) are two of the most powerful players in the modern data stack. This combination streamlines ETL processes, increases flexibility, and reduces manual coding. Traditionally, DBT is known for transformations and Snowflake for its cloud-native warehousing.

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ETL Tools Raw Data SQL Python 59

Data Engineering Weekly

MAY 25, 2025

If you look at all the BI or UI-based ETL tools, the code is a black box for us, but we validate the outcome generated by the black-box. Understanding this fact will help data tools break new ground with the advancement of AI agents. link] Gunnar Morling: What If We Could Rebuild Kafka From Scratch?

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

ProjectPro

JUNE 6, 2025

Check out this ultimate guide to explore the fascinating world of ETL with Python and discover why it's the top choice for modern data enthusiasts. Python ETL really empowers you to transform data like a pro. Well, it's not just a programming language; it's a vibrant ecosystem of libraries and tools that make ETL processing a breeze.

Python 40

Python ETL Tools Data Warehouse Programming Language 40

ProjectPro

JUNE 6, 2025

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Azure Data Factory and AWS Glue are powerful tools for data engineers who want to perform ETL on Big Data in the Cloud.

AWS 40

AWS Cloud Amazon Web Services ETL Tools 40

ProjectPro

JUNE 6, 2025

The No-Code orchestration offered by Data Factory makes it an effective tool for any data engineer. Is Azure Data Factory ETL or ELT tool? It is a cloud-based Microsoft tool that provides a cloud-based integration service for data analytics at scale and supports ETL and ELT paradigms.

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

Read this blog for a detailed comparison between ELT vs. ETL to find out. What is ETL? ETL (Extract, Transform, and Load) is a data transformation and integration method. Transform- Organizations routinely transform raw data in various ways and use it with multiple tools or business processes. But which method is better?

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

It is a columnar-stored relational database that integrates seamlessly with various tools, including Excel and Tableau. As is typical of a SQL database, Snowflake offers its query tool and enables multi-statement transactions, role-based security, etc. Is Snowflake an ETL tool? What kind of database is Snowflake?

Amazon Web Services 40

Amazon Web Services Data Warehouse ETL Tools AWS 40

Maxime Beauchemin

JANUARY 20, 2017

Unlike data scientists — and inspired by our more mature parent, software engineering  — data engineers build tools, infrastructure, frameworks, and services. While it’s beyond the scope of this article to argue on this topic, it’s easy to infer that these same reasons apply to writing ETL as it applies to any other software.

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Data Engineering Data Engineer Engineering ETL Tools 130

ProjectPro

JUNE 6, 2025

Azure Data Factory and Databricks are two popular cloud-based data integration and ETL tools that can handle various types of data, including structured-unstructured data, and batch-streaming data. Here is a detailed comparison between Azure Databricks vs. Data Factory.

Data Engineering 40

Data Engineering Data Engineer Project Engineering 40

Hevo

SEPTEMBER 29, 2024

That’s where Reverse ETL comes into play. I’m guessing you might know what ETL (Extract, Transform, Load) is. If you are a data-driven business, then you must know how crucial it is to extract meaningful insights from your data. It is the process of bringing data into your warehouses.

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ETL Tools Process IT Data 52

ProjectPro

JUNE 6, 2025

Knowing how database systems operate allows data modelers to perform their tasks using standard business tools more quickly and effectively. Knowing how to use these tools can help data modelers avoid wasting valuable time getting trained on the job and allow them to analyze their data sets more quickly.

NoSQL 40

NoSQL ETL Tools SQL Certification 40

Ascend.io

DECEMBER 19, 2023

If you’re working with Snowflake or just starting to explore its capabilities, you might be wondering: Do I really need ETL for Snowflake? Is it possible to rely solely on Snowflake’s own features, or is there a strong case for bringing ETL into the mix? If so, where do I get started? But first, a disclaimer.

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ETL Tools IT Data Pipeline Data Warehouse 52

Hevo

SEPTEMBER 27, 2024

Data is gathered from various sources in all shapes and forms, and without the right set of tools, it is impossible to use this data for meaning analysis. In the data engineering industry, managing your data is critical for driving business. If you work with a cloud environment, you must have heard of Microsoft Azure. […]

ETL Tools 52

ETL Tools Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 6, 2025

Open source tools like Apache Airflow have been developed to cope with the challenges of handling voluminous data. This article comprehensively looks at what is Apache Airflow and evaluates whether it's the right tool of choice for data engineers and data scientists. Is Airflow an ETL Tool? Is Airflow Good for ETL?

Data Pipeline 45

Data Pipeline Building Data Lake Raw Data 45

ProjectPro

JUNE 6, 2025

AWS Athena is a serverless interactive analytics tool that Amazon offers for acquiring insights about data stored in S3. You need to pay an hourly price, invoiced per second if you set up a developer endpoint to create your ETL code. Since Amazon Athena is a serverless data query tool, it is flexible and economical.

AWS 40

AWS Amazon Web Services ETL Tools Scala 40

ProjectPro

JUNE 6, 2025

Data engineers work to source data using ETL pipelines and make it more readable for the whole organization. If you are planning to make a career transition into data engineering and want to know how to become a data engineer, this is the perfect place to begin your journey. Yes, it’s that simple.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

KDnuggets

AUGUST 19, 2019

What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? Find out the approach that best fits your organization’s needs and the factors that influence it.

Data Integration 92

Data Integration Coding ETL Tools Data 92

Confluent

MAY 15, 2019

The customer had traditional ETL tools on the table; we were in fact already providing them services around Oracle Data Integrator (ODI). They asked us to evaluate whether we thought an ETL tool was the appropriate choice to solve these two requirements. Streaming data into Oracle WMS Cloud. KSQL in a DevOps world.

Kafka 92

Kafka ETL Tools Cloud Data Integration 92

Ascend.io

OCTOBER 28, 2024

Data transformation is the process of converting raw data into a usable format to generate insights. It involves cleaning, normalizing, validating, and enriching data, ensuring that it is consistent and ready for analysis. At its core, data transformation involves several fundamental techniques that every data engineer should master.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Datasets 52

ProjectPro

JUNE 6, 2025

Reporting, controls, and decision-making are part of the operations data service (ODS). Because it is refreshed in real-time, an ODS is ideal for everyday operations such as storing employee data. An EDW, on the other hand, provides tactical and strategic decision support. It only supports low-level data and offers limited queries.

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

Monte Carlo

MARCH 28, 2025

System Data + AI applications rely on a complex and interconnected web of tools and systems to deliver insights, models and automations. The commodities just keep coming. Its how you integrate AI with your first-party data to deliver new business value that sets you apart. So, what does it mean to achieve trusted data + AI?

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Coding Systems Data Pipeline ETL Tools 52