Analytics Vidhya

MARCH 14, 2023

This results in the generation of so much data daily. This generated data is stored in the database and will maintain it. SQL is a structured query language used to read and write these databases.

SQL 204

SQL Database Technology Data 204

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?

SQL 173

SQL Data Lake High Quality Data Machine Learning 173

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.

SQL 52

SQL Database Data Warehouse Data Pipeline 52

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Visit: dataengineeringpodcast.com/data-council today. Your first 30 days are free!

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

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.

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

Maxime Beauchemin

JANUARY 7, 2018

In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. This post distills fragments of wisdom accumulated while working at Yahoo, Facebook, Airbnb and Lyft, with the perspective of well over a decade of data warehousing and data engineering experience.

Data Engineer 183

Data Engineer Data Engineering Data Process Process 183

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?

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Christophe Blefari

JANUARY 11, 2025

He listed 4 things that are the most difficult data integration tasks: from mutable data to IT migrations, everything adds complexity to ingestion systems. The software development lifecycle within a modern data engineering framework — A great deep-dive about a data platform using dltHub, dbt and Dagster.

Data 130

Data Data Warehouse Coding Programming Language 130

Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Data Engineering Weekly

JULY 21, 2024

Editor’s Note: A New Series on Data Engineering Tools Evaluation There are plenty of data tools and vendors in the industry. Data Engineering Weekly is launching a new series on software evaluation focused on data engineering to better guide data engineering leaders in evaluating data tools.

Data Engineer 117

Data Engineer Data Engineering Engineering Generalist 117

Data Engineering Podcast

MAY 13, 2021

Summary There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require you to sacrifice a certain amount of control over your data. Firebolt is the fastest cloud data warehouse. Visit dataengineeringpodcast.com/firebolt to get started.

PostgreSQL 100

PostgreSQL Data Warehouse Building MySQL 100

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. SQL as the democratization enabler. A rare breed.

SQL 112

SQL Java Data Lake Scala 112

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

Data Lake 113

Data Lake Data Warehouse Cloud Unstructured Data 113

Data Engineering Podcast

FEBRUARY 8, 2021

In this episode Zeeshan Qureshi and Michelle Ark share their experiences using DBT to manage the data warehouse for Shopify. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. What kinds of data sources are you working with?

Data Warehouse 100

Data Warehouse Building BI SQL 100

Data Engineering Weekly

FEBRUARY 9, 2025

[link] Meta: Data logs - The latest evolution in Meta’s access tools Meta writes about its access tool's system design, which helps export individual users’ access logs. link] GetInData: Data Quality in Streaming: A Deep Dive into Apache Flink Data Quality in a real-time streaming system is always challenging.

Data Engineer 57

Data Engineer Data Engineering Engineering Unstructured Data 57

Towards Data Science

NOVEMBER 4, 2023

Platform Specific Tools and Advanced Techniques Photo by Christopher Burns on Unsplash The modern data ecosystem keeps evolving and new data tools emerge now and then. In this article, I want to talk about crucial things that affect data engineers. Data warehouse exmaple. Data warehouse exmaple.

Data Engineer 98

Data Engineer Data Engineering Engineering BI 98

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. Databricks and Snowflake offer a data warehouse on top of cloud providers like AWS, Google Cloud, and Azure.

Data Engineer 103

Data Engineer Data Engineering Engineering Kafka 103

Data Engineering Podcast

JANUARY 1, 2022

In this episode Emily Riederer shares her work to create a controlled vocabulary for managing the semantic elements of the data managed by her team and encoding it in the schema definitions in her data warehouse. star/snowflake schema, data vault, etc.)

Data Warehouse 100

Data Warehouse BI Data Workflow Data Engineer 100

Data Engineering Podcast

MAY 27, 2021

Summary The data warehouse has become the focal point of the modern data platform. With increased usage of data across businesses, and a diversity of locations and environments where data needs to be managed, the warehouse engine needs to be fast and easy to manage.

Data Warehouse 100

Data Warehouse Cloud PostgreSQL Kafka 100

Monte Carlo

JANUARY 23, 2024

In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. Currently, Maxime is CEO and co-founder of Preset , a fast-growing startup that’s paving the way forward for AI-enabled data visualization for modern companies. Enter, the data engineer. What is a data engineer today?

Data Engineer 98

Data Engineer Data Engineering Engineering Data 98

Towards Data Science

JUNE 6, 2023

It runs locally, has extensive SQL support and can run queries directly on Pandas data, Parquet, JSON data. The fact it’s insanely fast and does (mostly) all processing in memory make it a good choice for building my personal data warehouse. Extra points for its seamless integration with Python and R.

Data Warehouse 98

Data Warehouse Data SQL Data Analysis 98

Data Engineering Podcast

DECEMBER 26, 2021

Summary Data Engineering is still a relatively new field that is going through a continued evolution as new technologies are introduced and new requirements are understood. In this episode Maxime Beauchemin returns to revisit what it means to be a data engineer and how the role has changed over the past 5 years.

Data Engineer 100

Data Engineer Data Engineering Engineering Data Warehouse 100

Data Engineering Podcast

OCTOBER 28, 2021

He also explains why he started Decodable to address that limitation and the work that he and his team have done to let data engineers build streaming pipelines entirely in SQL. Missing data? Start trusting your data with Monte Carlo today! No more scripts, just SQL. Struggling with broken pipelines?

Data Pipeline 100

Data Pipeline SQL Data Warehouse Data Lake 100

Data Engineering Podcast

MAY 1, 2022

He describes how the platform is architected, the challenges related to selling cloud technologies into enterprise organizations, and how you can adopt Matillion for your own workflows to reduce the maintenance burden of data integration workflows. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial.

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Towards Data Science

DECEMBER 10, 2024

Take advantage of old school databasetricks In the last 1015 years weve seen massive changes to the data industry, notably big data, parallel processing, cloud computing, data warehouses, and new tools (lots and lots of newtools). This gives the data a level of trustworthiness, so often lacking, for downstream users.

PostgreSQL 75

PostgreSQL Data Python SQL 75

Data Engineering Podcast

JUNE 25, 2021

Summary Data Engineering is a broad and constantly evolving topic, which makes it difficult to teach in a concise and effective manner. In this episode they reflect on the lessons that they learned while teaching the first cohort of their bootcamp how to be effective data engineers. No more scripts, just SQL.

Data Engineer 100

Data Engineer Data Engineering Engineering SQL 100

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.

Data Engineer 98

Data Engineer Data Engineering Engineering SQL 98

Towards Data Science

DECEMBER 1, 2023

Architecture Referencing Joe Reis’s “Fundamentals of Data Engineering,” let’s review our project in alignment with the defined stages of the data lifecycle: Data Engineering Lifecycle [1] Data Generation —  Google Calendar, Fivetran If you’re a Google Calendar user, chances are you’ve accumulated a wealth of data there.

Data Engineer 97

Data Engineer Data Engineering Project Engineering 97

Christophe Blefari

JUNE 21, 2024

Snowflake was founded in 2012 around its data warehouse product, which is still its core offering, and Databricks was founded in 2013 from academia with Spark co-creator researchers, becoming Apache Spark in 2014. you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with 3) Spark 4.0

Metadata 147

Metadata Data Warehouse BI MySQL 147

Data Engineering Weekly

JULY 7, 2024

The dataset organization as a set of LSM trees seems an interesting approach, which sounds similar to Google’s Napa data warehouse system. link] Guillermo Musumeci: How To Calculate the Real Cost of Azure Databricks SQL Warehouse Instances The databricks billing on Azure is a bit confusing.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

Data Engineering Podcast

SEPTEMBER 3, 2023

Summary Cloud data warehouses and the introduction of the ELT paradigm has led to the creation of multiple options for flexible data integration, with a roughly equal distribution of commercial and open source options. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products.

Data Integration 162

Data Integration BI SQL Python 162

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.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Cleanse 98

Seattle Data Guy

MAY 26, 2024

Many data engineers and analysts don’t realize how valuable the knowledge they have is. They’ve spent hours upon hours learning SQL, Python, how to properly analyze data, build data warehouses, and understand the differences between eight different ETL solutions.

Consulting 130

Consulting Engineering Data Warehouse SQL 130

Data Engineering Podcast

SEPTEMBER 19, 2021

In this episode Jillian Rowe shares her experience of working in the field and supporting teams of scientists and analysts with the data infrastructure that they need to get their work done. This is a fascinating exploration of the collaboration between data professionals and scientists. Missing data? Stale dashboards?

Data Engineer 100

Data Engineer Data Engineering Engineering Data Lake 100

Data Engineering Podcast

JUNE 3, 2021

Summary SQL is the most widely used language for working with data, and yet the tools available for writing and collaborating on it are still clunky and inefficient. Firebolt is the fastest cloud data warehouse. Visit dataengineeringpodcast.com/firebolt to get started.

SQL 100

SQL Building Big Data BI 100

Data Engineering Weekly

MAY 26, 2024

[link] Ryan Eakman: SQLFrame - Turning PySpark into a Universal DataFrame API SQL or DataFrames, two programming models often used interchangeability in engineering data. It is a long standing question on people wondering In what situations should you use SQL instead of Pandas as a data scientist?

Data Engineer 76

Data Engineer Data Engineering Engineering Google Cloud 76

Data Engineering Podcast

JULY 16, 2021

This is particularly important in large and complex organizations where domain knowledge and context is paramount and there may not be access to engineers for codifying that expertise. Hightouch is the easiest way to sync data into the platforms that your business teams rely on. No more scripts, just SQL.

High Quality Data 100

High Quality Data Data Engineer Data Engineering Coding 100