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.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

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

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

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 91

Data Integration Coding ETL Tools Data 91

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 Datasets Aggregated Data Data Pipeline 52

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

Hevo

APRIL 26, 2024

AWS Glue is a serverless ETL solution that helps organizations move data into enterprise-class data warehouses. It provides close integration with other AWS services, which appeals to businesses already invested significantly in AWS.

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ETL Tools AWS Data Warehouse IT 40

Knowledge Hut

MAY 3, 2023

They gather, purify, and manipulate data before using tools like SQL, Excel, and Tableau to analyze and visualize it. Data Engineer vs Data Analyst: General Requirements Data Engineers must have experience with ETL tools, data warehousing, data modeling, data pipelines, and cloud computing.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Cleanse 98

Cloudera

AUGUST 13, 2021

Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. Every enterprise is trying to collect and analyze data to get better insights into their business.

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Data Pipeline Data Lake ETL Tools Unstructured Data 111

Data Engineering Podcast

JANUARY 15, 2022

With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. What are the core principles of data engineering that have remained from the original wave of ETL tools and rigid data warehouses? How does it work?

Engineering 100

Engineering Electronics Data Pipeline ETL Tools 100

Hevo

AUGUST 16, 2024

ETL tools are central to this since they enable organizations to manage their data from different sources effectively and integrate it efficiently. Out of the many available ETL tools in the market, Fivetran and Stitch are two of the […]

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ETL Tools Data Integration Management Data 52

Ascend.io

MAY 31, 2023

In the early stages of data management evolution, ETL processes offered a substantial leap forward in how we handled data – they provided a structured, systematic way to move data from one place to another, transforming it along the way to fit specific needs. Fast forward to the present day, and we now have data pipelines.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Hevo

JULY 1, 2024

This article will explain how you can transfer your HubSpot data into Google BigQuery through various means, be it HubSpot’s API or an automated ETL tool like Hevo Data, which does it […] Need a better way to handle all that customer and marketing data in HubSpot. Transfer it to BigQuery. Want to know how?

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ETL Tools Data IT Data Integration 52

Hevo

AUGUST 7, 2024

This includes setting up fault-tolerant ETL pipelines and choosing the right storage and cloud strategy. Addressing the market’s requirements, many cloud providers offer various ETL Tools as services. AWS, too, provides its users with serverless computing platforms like Lambda […]

AWS 52

AWS ETL Tools Cloud Process 52

Ascend.io

DECEMBER 21, 2022

ETL changed towards ELT. Now, data teams are embracing a new approach: reverse ETL. After, they leverage the power of the cloud warehouse to perform deep analysis, build predictive models, and feed BI tools and dashboards. In short, both ETL and ELT processes share the same goal: consolidate your data into a final destination.

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ETL Tools ETL System Data Warehouse Data Consolidation 52

ProjectPro

FEBRUARY 8, 2023

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 52

Grouparoo

SEPTEMBER 7, 2021

That said, these teams were still stuck; they had this data in their analytics and Business Intelligence (BI) tools, but to make use of this data, they needed to ask an engineer to build an integration with the marketing, sales, or customer support tools they’re using.

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ETL Tools Data Warehouse Business Intelligence Datasets 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

FEBRUARY 16, 2023

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 52

Cloudera

JUNE 26, 2023

Spark is primarily used to create ETL workloads by data engineers and data scientists. Impala only masquerades as an ETL pipeline tool: use NiFi or Airflow instead It is common for Cloudera Data Platform (CDP) users to ‘test’ pipeline development and creation with Impala because it facilitates fast, iterate development and testing.

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ETL Tools Programming Language Datasets Professional Services 76

Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Scott Logic

APRIL 22, 2024

Several of the tech giants are quietly developing powerful and user-friendly tools to do just that; we recently attended a workshop run by Amazon, to show off some of their products in this area and get hands-on experience of some of AWS’s preview capabilities. They see the potential of AI, but struggle to find practical applications for it.

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BI Software Engineer Software Engineering Algorithm 97

Snowflake

FEBRUARY 7, 2023

At best, they can bring in a limited set of properties from an enterprise data warehouse using reverse ETL tools. Most important, as the single source of truth for all data, it can help avoid or completely eliminate data duplication and expensive ETL pipelines.

BI 83

BI Building ETL Tools Data Warehouse 83

ProjectPro

JANUARY 27, 2023

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 52

BI ETL Tools Retail Healthcare 52

Silectis

FEBRUARY 25, 2021

Data lineage can be a tremendously useful tool for data engineering and analytics, but is often treated as an afterthought both because of the challenges in implementation and the fact that it has not been broadly available within organizations. Review ETL tool logs if you have access. How do I know if it is current?

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ETL Tools Metadata Data Data Engineering 52

Hevo

SEPTEMBER 5, 2024

ETL tools are very important to a business dealing with varied data sources. An efficient ETL tool provides the platform to migrate data from multiple sources to a single destination and run analytics on it. With the market flooded with ETL tools, choosing which tool is right for your organization can be challenging.

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ETL Tools Data IT Data Integration 40

Netflix Tech

JULY 15, 2021

At the time, the data engineering team mainly used a data warehouse ETL tool called Ab Initio, and an MPP (Massively Parallel Processing) database for warehousing. I started my career as an application developer with basic familiarity with SQL. I had been a happy subscriber of Netflix’s DVD-rental program (no late fees!)

Data Engineering 82

Data Engineering Data Engineer Engineering Entertainment 82

Knowledge Hut

OCTOBER 31, 2023

AWS Data Engineer vs Azure Data Engineer: ETL Tools AWS Data Engineer: AWS provides a suite of ETL tools, including AWS Glue, AWS Lambda for serverless processing, and AWS Step Functions for orchestrating workflows. Azure Data Factory, Databricks, etc.

Data Engineering 52

Data Engineering Data Engineer AWS Engineering 52

Hevo

SEPTEMBER 13, 2024

Every business based on data-driven insights in the modern data ecosystem needs effective ETL tools. Your choice of ETL will go a long way in affecting the efficiency, speed, and cost of your data operations.

ETL Tools 40

ETL Tools IT Data 40

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. We describe information search on the Internet with just one word — ‘google’.

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Kafka Hadoop Big Data ETL Tools 93

ProjectPro

SEPTEMBER 30, 2014

Mention about ETL and eyes glaze over Hadoop as a logical platform for data preparation and transformation as it allows them to manage huge volume, variety, and velocity of data flawlessly. As the data kept growing, owners realized a need to analyze it and thus originated an entirely new domain of Data Warehousing.

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Hadoop ETL Tools Unstructured Data ETL System 52

Confluent

JUNE 26, 2019

Middleware can be anything—some custom glue code or framework, a messaging system like RabbitMQ, an ETL tool like Talend, an ESB like WSO2, or an event streaming platform like Apache Kafka. What middleware do you use–if any? Store streams of events in a fault-tolerant way. As Dan North puts it: Build code that fits in your head.

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Kafka Designing Architecture Coding 109

Grouparoo

OCTOBER 26, 2021

The choice of tooling and infrastructure will depend on factors such as the organization’s size, budget, and industry as well as the types and use cases of the data. Data Pipeline vs ETL An ETL (Extract, Transform, and Load) system is a specific type of data pipeline that transforms and moves data across systems in batches.

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Data Pipeline ETL Tools Data Warehouse ETL System 52

Data Engineering Weekly

DECEMBER 18, 2023

link] Instacart: Monte Carlo, Puppetry and Laughter: The Unexpected Joys of Prompt Engineering Instacart writes an article exploring prompt techniques used for internal productivity tooling. RudderStack just launched Trino as a Reverse ETL source. It's the only Trino Reverse ETL solution that supports warehouse-based CDC.

Data Engineering 67

Data Engineering Data Engineer Engineering Food 67

Towards Data Science

JUNE 16, 2023

In the following examples, we’ll be using Looker, but most modern BI tools enable usage-based reporting in some form (Lightdash also has built in Usage Analytics , Tableau Cloud offers Admin Insights , and Mode’s Discovery Database offers access to usage data, just to name a few). There’s a good reason for this. Source: synq.io

BI 98

BI Data ETL Tools Machine Learning 98