Meltano

OCTOBER 5, 2022

Interested in becoming a data engineer? The need for data experts in the U.S. job market is expected to grow by 22% in this decade, and according to LinkedIn’s 2020 report , a data engineer is listed as the 8th fastest growing job today. But what is data engineering exactly and what does a data engineer do?

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Data Engineering Data Engineer Engineering Raw Data 52

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. What Are Azure Data Engineer Tools?

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Data Engineering Data Engineer Engineering PostgreSQL 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

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Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

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Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice.

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Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

OCTOBER 3, 2023

Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions. What Does an Azure Data Engineer Do? Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs to offer end customers a variety of pre-built models.

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Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

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Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. Who is an Azure Data Engineer?

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Data Engineering Data Engineer Engineering Data Mining 52

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

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Data Engineering Data Engineer Engineering Machine Learning 98

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Data Ingestion Data ingestion is the first step of both ETL and data pipelines. The data sources themselves are not built to perform analytics.

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Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape.

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Data Lake ETL Tools Data Warehouse Data Pipeline 52

Ascend.io

DECEMBER 19, 2023

We’ll talk about when and why ETL becomes essential in your Snowflake journey and walk you through the process of choosing the right ETL tool. Our focus is to make your decision-making process smoother, helping you understand how to best integrate ETL into your data strategy. But first, a disclaimer.

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ProjectPro

FEBRUARY 8, 2023

ETL stands for Extract, Transform, and Load, which involves extracting data from various sources, transforming the data into a format suitable for analysis, and loading the data into a destination system such as a data warehouse. ETL developers play a significant role in performing all these tasks.

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ETL Tools Data Cleanse Data Warehouse Big Data 52

Ascend.io

DECEMBER 21, 2022

The last three years have seen a remarkable change in data infrastructure. ETL changed towards ELT. Now, data teams are embracing a new approach: reverse ETL. Cloud data warehouses, such as Snowflake and BigQuery, have made it simpler than ever to combine all of your data into one location.

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ETL Tools ETL System Data Warehouse Data Consolidation 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 Engineers and Data Scientists require efficient methods for managing large databases, which is why centralized data warehouses are in high demand.

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Edureka

FEBRUARY 7, 2023

If you want to become a data engineer, you should prepare for the interview process. To help you get a head start on your preparation, I’ve compiled a list of the Top 30+ Azure Data Engineer Interview Questions. When it comes to professionals, data engineers are the most in-demand in the IT industry.

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Data Engineering Data Engineer Engineering Hadoop 52

Grouparoo

SEPTEMBER 7, 2021

Data analysts and data engineers are responsible for building and maintaining data infrastructure to support many different teams at companies. What did you do before Operational Analytics and Reverse ETL existed? The Modern Data Stack is a recent development in the data engineering space.

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ETL Tools Data Warehouse Business Intelligence Datasets 52

Data Engineering Weekly

DECEMBER 29, 2022

I even authored a special edition capturing metadata tool’s history at Data Engineering Weekly. Data Engineering Weekly Data Engineering Weekly #21: Metadata Edition Welcome to the 21st edition of the data engineering newsletter. The pre-modern(?) What does that mean?

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ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

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Data Engineering Data Engineer Engineering Data Storage 52

Monte Carlo

DECEMBER 4, 2023

At the heart of data engineering lies the ETL process—a necessary, if sometimes tedious, set of operations to move data across pipelines for production. Loading ChatGPT ETL prompts can help write scripts to load data into different databases, data lakes, or data warehouses.

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PostgreSQL Data Lake ETL Tools MySQL 52

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. Well, it surely is!

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BI ETL Tools Retail Healthcare 52

Data Engineering Podcast

JANUARY 15, 2022

In this episode Brian McMillan shares his work on the book "Building Data Products" and how he is working to educate business users and data professionals about the combination of technical, economical, and business considerations that need to be blended for these projects to succeed.

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Ascend.io

OCTOBER 28, 2024

You might even think of effective data transformation like a powerful magnet that draws the needle from the stack, leaving the hay behind. In this blog post, we’ll explore fundamental concepts, intermediate strategies, and cutting-edge techniques that are shaping the future of data engineering.

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Raw Data Datasets Aggregated Data Data Pipeline 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

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Data Engineering Data Engineer Engineering Hadoop 40

Monte Carlo

FEBRUARY 15, 2023

Cloud data warehouses solve these problems. Belonging to the category of OLAP (online analytical processing) databases, popular data warehouses like Snowflake, Redshift and Big Query can query one billion rows in less than a minute. What is a data warehouse?

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Data Warehouse Unstructured Data AWS Business Intelligence 52

Ascend.io

SEPTEMBER 19, 2023

In the world of data engineering, the ETL (Extract, Transform, Load) approach has been the cornerstone for managing and processing data. However , the traditional methods of executing ETL are increasingly struggling to meet the escalating demands of today’s data-intensive environments.

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ETL Tools ETL Method Data Engineering Data Engineer 52

Lyft Engineering

OCTOBER 3, 2023

In this post we will define data quality at a high-level and explore our motivation to achieve better data quality. We will then introduce our in-house product, Verity, and showcase how it serves as a central platform for ensuring data quality in our Hive Data Warehouse. What and Where is Data Quality?

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Big Data Metadata Data Warehouse Data 85

Knowledge Hut

DECEMBER 26, 2023

Data Science is a combination of several disciplines including Mathematics and Statistics, Data Analysis, Machine Learning, and Computer Science. Data Science is a huge umbrella with a plethora of roles available in the field such as a Data Scientist, Data Engineer, BI Developer, Data and Analytics Manager, etc.

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AltexSoft

AUGUST 4, 2021

Now let’s think of sweets as the data required for your company’s daily operations. Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit.

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Knowledge Hut

APRIL 19, 2023

If you want to learn more about ETL processes check out this Data Engineer course. What is ETL? ETL stands for Extract, Transform, and Load. It is the process of extracting data from various sources, transforming it into a format suitable for analysis, and loading it into a target database or data warehouse.

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Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

Databand.ai

JULY 5, 2023

What Are Data Observability Tools? Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. By employing these tools, teams can proactively detect issues before they become larger problems that affect business operations.

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Data Pipeline Data Lake Data Warehouse Datasets 52

Monte Carlo

SEPTEMBER 12, 2022

The field of data engineering has been growing at a breakneck pace. New frameworks, new challenges, and new technologies are constantly shifting how engineers think about their work and their roles within their organizations. Plus, he was one of the first data engineers at Facebook and Airbnb.

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BI Data Governance ETL Tools Data Warehouse 52

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. You can leverage AWS Glue to discover, transform, and prepare your data for analytics.

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AWS Data Lake ETL Tools Scala 52

Monte Carlo

APRIL 4, 2023

The integration with Fivetran is the latest step in Monte Carlo’s mission to bring end-to-end data observability for customers across their data stack. Data engineers spend up to two days per week firefighting broken data pipelines, an expensive problem that costs data teams millions of dollars per year in wasted revenue.

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ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Monte Carlo

APRIL 4, 2023

The integration with Fivetran is the latest step in Monte Carlo’s mission to bring end-to-end data observability for customers across their data stack. Data engineers spend up to two days per week firefighting broken data pipelines, an expensive problem that costs data teams millions of dollars per year in wasted revenue.

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ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

AltexSoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

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Grouparoo

AUGUST 24, 2021

What you really want is a unified view of your data using Customer Data Integration so you can take action on it. Customer data integration here might include creating a data warehouse where you can house your accurate and complete dataset. Scalability A data warehouse can scale well with your data.

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