Analytics Vidhya

FEBRUARY 7, 2023

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications.

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Data Engineer Data Engineering Engineering Data 240

Data Engineering Weekly

JUNE 10, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. As I have shared , its impact on data engineering is exciting.

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Data Engineer Data Engineering Engineering Kafka 103

KDnuggets

FEBRUARY 24, 2023

This article will discuss SQL visualization, its role in augmenting the modern-day data engineer, and five categories of SQL visualization tools.

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Jesse Anderson

DECEMBER 12, 2022

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly.

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Data Engineer Data Engineering Engineering Hadoop 130

Data Engineering Podcast

JULY 2, 2023

Summary Feature engineering is a crucial aspect of the machine learning workflow. In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features.

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Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Materialize’s PostgreSQL-compatible interface lets users leverage the tools they already use, with unsurpassed simplicity enabled by full ANSI SQL support.

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Data Engineer Data Engineering Engineering PostgreSQL 147

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

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Data Engineer Data Engineering Engineering Metadata 105

Data Engineering Weekly

OCTOBER 6, 2024

Join us on October 10th at 9am PT | 12pm ET as I walk through how data observability platforms like Monte Carlo can help data analytics teams reduce time spent on data quality by 80% or more. “text-to-SQL” and “text-to-insight.” Sonnet, GPT-4o, Mistral Large 2, Llama 3.1 While GPT-4o and Claude 3.5

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Data Engineer Data Engineering Engineering Data Warehouse 62

KDnuggets

FEBRUARY 27, 2023

5 SQL Visualization Tools for Data Engineers • Free TensorFlow 2.0 Complete Course • The Importance of Probability in Data Science • 4 Ways to Rename Pandas Columns • 5 Statistical Paradoxes Data Scientists Should Know

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SQL Data Engineer Data Engineering Engineering 129

Data Engineering Weekly

SEPTEMBER 15, 2024

During his keynote, he’ll share his insights into how data and pattern recognition shape the world, build trust, and—sometimes—even help us predict the future. The blog narrates how the lack of neutral guidance or standards leads to ambiguity and the formation of a central team to bring trust in data.

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Data Engineer Data Engineering Engineering Data Lake 67

Data Engineering Weekly

MAY 26, 2024

[link] Meta: Composable data management at Meta Meta writes about its transition to a composable data management system to improve interoperability, reusability, and engineering efficiency. It is a long standing question on people wondering In what situations should you use SQL instead of Pandas as a data scientist?

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Data Engineer Data Engineering Engineering Google Cloud 76

Data Engineering Podcast

FEBRUARY 4, 2024

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. RisingWave is a database engine that was created specifically for stream processing, with S3 as the storage layer. Can you describe what RisingWave is and the story behind it?

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Data Engineering Weekly

SEPTEMBER 22, 2024

Uber: QueryGPT – Natural Language to SQL Using Generative AI Companies are increasingly adopting the natural language interface to interact with the enterprise data. Dropbox writes a case study on integrating Lakera Guard into their prompt engineering to secure the LLM infrastructure.

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Data Engineer Data Engineering Engineering Data Lake 70

Data Engineering Weekly

JULY 14, 2024

[link] Discord: How Discord Uses Open-Source Tools for Scalable Data Orchestration & Transformation Discord writes about its migration journey from a homegrown orchestration engine to Dagster. Real-world applications of Nexla’s RAG data flow capabilities in enhancing AI deployment.

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Data Engineer Data Engineering Engineering Unstructured Data 98

Data Engineering Weekly

SEPTEMBER 29, 2024

Airbnb writes about Sandcastle, an Airbnb-internal prototyping platform that enables data scientists, engineers, and product managers to bring data/AI ideas to life. link] Grab: Enabling conversational data discovery with LLMs at Grab. Unix pipes typically represent a physical flow of data between processes.

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Data Engineer Data Engineering Engineering SQL 62

Data Engineering Weekly

OCTOBER 13, 2024

Genie addresses these challenges by providing quick and accurate answers to questions, retrieving relevant information from internal knowledge bases, and reducing the need for constant interaction with on-call engineers.

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Data Engineer Data Engineering Engineering PostgreSQL 52

Data Engineering Weekly

APRIL 7, 2024

dbt: 2024 State of Analytics Engineering The 2024 dbt’s state of analytical engineering report is out. Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises.

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Data Engineer Data Engineering Engineering Unstructured Data 70

Snowflake

APRIL 17, 2024

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. While the Python API connector remains available for specific SQL use cases, the new API is designed to be your go-to solution.

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Data Pipeline Python Data Engineer Data Engineering 109

Confessions of a Data Guy

FEBRUARY 21, 2024

New SQL Practice Problems I’m trying something new. I get a lot of questions from folks about getting into the Data Engineering space, how to get better, grow, learn, etc. SQL Practice Problems. Some moons ago I wrote a Data Engineering Practice repo on GitHub for free, and some 1.2K

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Data Engineering Weekly

JULY 7, 2024

The authors implement this using Airflow's dynamic task mapping to automatically clone tagged models to each contributor's development dataset, allowing seamless dbt builds with production-like data. The blog explains how we can programmatically measure the real cost of Azure databricks SQL warehouse instances.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

Data Engineering Podcast

APRIL 14, 2024

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

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Non-relational Database Relational Database Database Designing 147

Start Data Engineering

OCTOBER 11, 2021

Leetcode: data structures and algorithms 4. Data modeling 4.1 Data warehousing 4.2 Data pipelines 6. Introduction Skills 1. Distributed system fundamentals 7. Event streaming 8. System design 9. Business questions 10. Cloud computing 11.

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Data Engineer Data Engineering Engineering Cloud Computing 130

Towards Data Science

NOVEMBER 20, 2024

It is worth mentioning that this article comes from an Electrical and Electronic Engineer graduate who went all the way and spent almost 8 years in academia learning about the Energy sector (and when I say all the way, I mean from a bachelor degree to a PhD and postdoc). Similarly, data engineering positions have seen a 98% increase.

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Data Engineer Data Engineering Engineering Electronics 40

Towards Data Science

AUGUST 19, 2023

How I made the transition to an analytics engineer Photo by Campaign Creators on Unsplash A few years ago, I was at a point where I was feeling unfulfilled in my career. I had been working in data engineering for three years and the initial excitement of starting in the world of tech had faded.

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Data Engineer Data Engineering Engineering SQL 79

Towards Data Science

FEBRUARY 24, 2023

The Chaos Data-Engineering Manifesto Another lesson we can learn from software engineers: break stuff to make it more reliable. As a result, the 2020 election was the first I can remember where the on-call engineers weren’t on the edge of their seats, white-knuckling their keyboards…At least not for system reliability reasons.

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Data Engineer Data Engineering Engineering Software Engineering 96

Data Engineering Weekly

SEPTEMBER 8, 2024

How We Created Data Science Personas for Spotify’s Analytics Platform It takes a village to engineer data. It requires balanced teamwork with multiple organizational personalities to cultivate a data-driven culture. Spotify writes an excellent article highlighting the key Data Science persona.

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Data Engineer Data Engineering Engineering Kafka 52

Team Data Science

DECEMBER 17, 2020

Even then, developing a team to successfully manage AI tasks is essential to tackle any challenges faced by organizations as regard data. While studies over the last few years have shown that data engineering, a vital phase forward to Data Science and AI, it is still a phase that many businesses completely skip, misunderstand, or neglect.

Data Engineer 130

Data Engineer Data Engineering Engineering Cloud Computing 130

Striim

NOVEMBER 19, 2024

SQL2Fabric Mirroring is a new fully managed service offered by Striim to mirror on premise SQL Databases. It’s a collaborative service between Striim and Microsoft based on Fabric Open Mirroring that enables real-time data replication from on-premise SQL Server databases to Azure Fabric OneLake.

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SQL Database Data Warehouse Data Pipeline 52

Data Engineering Weekly

DECEMBER 18, 2023

Lorin Hochstein: “Human error” means they don’t understand how the system worked The post is not directly related to Data Engineering but system operations in general. I included this post because I often see high-pitched LinkedIn posts stating it is the human fault, especially around data quality issues.

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Data Engineer Data Engineering Engineering Food 67

Data Engineering Weekly

DECEMBER 3, 2023

link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers. We made the decision that we could no longer rely on enforcement to scale data quality at Airbnb, and we instead needed to rely on the incentivization of both the data producer and consumer.

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Monte Carlo

OCTOBER 31, 2024

One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? Table of Contents What Does an AI Data Engineer Do?

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Data Engineer Data Engineering Engineering Unstructured Data 52

Data Engineering Weekly

OCTOBER 1, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. I wish more data engineers would start sharing their on-call experience soon.

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Data Engineer Data Engineering Engineering Data Pipeline 52

Knowledge Hut

MAY 3, 2023

With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data. The roles of data analyst and data engineer have emerged as two of the most in-demand professions in today's job market.

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Data Engineering Weekly

FEBRUARY 4, 2024

Joe Reis: Definition of Data Modeling & What Data Modeling Is not Joe raised a very fundamental question in data engineering. What is Data Modeling, and what is not? He rightly points out that many data engineers will name any of the modeling techniques as data modeling.

Data Engineer 62

Data Engineer Data Engineering Engineering PostgreSQL 62

Team Data Science

JANUARY 8, 2021

The purpose of this post is to expose you to the skills needed as a data engineer; now let’s look into them Understand the fundamental skill Recently, functions of computer engineering have become more important in organizations that are handling vast volumes of data, including data in diverse formats.

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Data Engineer Data Engineering Engineering Unstructured Data 130

Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Why Python for Data Engineering?

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Data Engineer Data Engineering Python Engineering 52

Data Engineering Podcast

JULY 10, 2022

Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows.

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Data Engineer Data Engineering Engineering MongoDB 100