Christophe Blefari

JANUARY 11, 2025

The Data News are here to stay, the format might vary during the year, but here we are for another year. We published videos about the Forward Data Conference, you can watch Hannes, DuckDB co-creator, keynote about Changing Large Tables. HNY 2025 ( credits ) Happy new year ✨ I wish you the best for 2025. Not really digest.

Data 130

Data Data Warehouse Coding Programming Language 130

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. Introduction In today’s world, technology has increased tremendously, and many people are using the internet.

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. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.

SQL 173

SQL Data Lake High Quality Data Machine Learning 173

Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Christophe Blefari

MARCH 15, 2024

With yato you give a folder with SQL queries and it guesses the DAG and runs the queries in the right order. Saying mainly that " Sora is a tool to extend creativity " Last point Mira has been mocked and criticised online because as a CTO she wasn't able to say on which public / licensed data Sora has been trained on.

Metadata 272

Metadata Data Data Warehouse Software Engineer 272

Data Engineering Podcast

JUNE 25, 2023

Summary Data transformation is a key activity for all of the organizational roles that interact with data. Because of its importance and outsized impact on what is possible for downstream data consumers it is critical that everyone is able to collaborate seamlessly. Can you describe what SQLMesh is and the story behind it?

Data Engineer 225

Data Engineer Data Engineering Python Engineering 225

Monte Carlo

FEBRUARY 11, 2025

Think of your data warehouse like a well-organized library. Thats where data warehouse schemas come in. A data warehouse schema is a blueprint for how your data is structured and linkedusually with fact tables (for measurable data) and dimension tables (for descriptive attributes). Total chaos.

Data Warehouse 52

Data Warehouse Electronics Retail Data 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. Join in with the event for the global data community, Data Council Austin.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

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. Striim automates the rest.

SQL 52

SQL Database Data Warehouse Data Pipeline 52

databricks

OCTOBER 14, 2024

Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.

SQL 131

SQL Data Warehouse Data 131

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 114

Data Lake Data Warehouse Cloud Unstructured Data 114

databricks

JANUARY 31, 2024

Welcome to the blog series covering product advancements in 2023 for Databricks SQL, the serverless data warehouse from Databricks. This is part 2.

SQL 130

SQL Programming Data Warehouse Data 130

Start Data Engineering

JANUARY 16, 2021

Introduction Setup Code Conditional logic to read from mock input Custom macro to test for equality Setup environment specific test Run ELT using dbt Conclusion Further reading Introduction With the recent advancements in data warehouses and tools like dbt most transformations(T of ELT) are being done directly in the data warehouse.

SQL 130

SQL Data Warehouse Coding IT 130

Towards Data Science

JUNE 6, 2023

Fitbit activity analysis with DuckDB Photo by Jake Hills on Unsplash Wearable fitness trackers have become an integral part of our lives, collecting and tracking data about our daily activities, sleep patterns, location, heart rate, and much more. What insights are buried within my archive of personal fitness activity data?

Data Warehouse 98

Data Warehouse Data SQL Data Analysis 98

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. A rare breed. What do you mean by democratizing?

SQL 112

SQL Java Data Lake Scala 112

Towards Data Science

DECEMBER 10, 2024

Three Zero-Cost Solutions That Take Hours, NotMonths A data quality certified pipeline. Source: unsplash.com In my career, data quality initiatives have usually meant big changes. Whats more, fixing the data quality issues this way often leads to new problems. Create a custom dashboard for your specific data qualityproblem.

PostgreSQL 75

PostgreSQL Data Python SQL 75

Data Engineering Podcast

JANUARY 1, 2022

Summary Communication and shared context are the hardest part of any data system. In recent years the focus has been on data catalogs as the means for documenting data assets, but those introduce a secondary system of record in order to find the necessary information.

Data Warehouse 100

Data Warehouse BI Data Workflow Data Engineer 100

Data Engineering Podcast

MAY 1, 2022

Summary The predominant pattern for data integration in the cloud has become extract, load, and then transform or ELT. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Data Engineering Podcast

OCTOBER 28, 2021

Summary Streaming data systems have been growing more capable and flexible over the past few years. 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? Stale dashboards?

Data Pipeline 100

Data Pipeline SQL Data Warehouse Data Lake 100

Data Engineering Weekly

NOVEMBER 24, 2024

Editor’s Note: Launching Data & Gen-AI courses in 2025 I can’t believe DEW will reach almost its 200th edition soon. What I started as a fun hobby has become one of the top-rated newsletters in the data engineering industry. The blog narrates a few examples of Pipe Syntax in comparison with the SQL queries.

Data Engineer 57

Data Engineer Data Engineering Engineering Insurance 57

databricks

AUGUST 10, 2023

At this year's Data+AI Summit, Databricks SQL continued to push the boundaries of what a data warehouse can be, leveraging AI across the.

SQL 98

SQL Data Warehouse Data 98

Seattle Data Guy

FEBRUARY 10, 2024

Photo by Tiger Lily Data warehouses and data lakes play a crucial role for many businesses. It gives businesses access to the data from all of their various systems. As well as often integrating data so that end-users can answer business critical questions.

Data Lake 162

Data Lake Data Warehouse Data Accessibility 162

Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. It’s time-consuming, brittle, and often unrewarding. Not only that, it’s hard to operate, evolve, and troubleshoot.

Data Engineer 183

Data Engineer Data Process Data Engineering Process 183

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

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Materialize]([link] Looking for the simplest way to get the freshest data possible to your teams?

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

Data Engineering Podcast

JANUARY 21, 2024

A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Data projects are notoriously complex.

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

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

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We will publish follow up blogs for other data services. To compact the tables use CDE Spark.

Data Warehouse 82

Data Warehouse Java Metadata Data 82

Christophe Blefari

JUNE 21, 2024

This year, the Snowflake Summit was held in San Francisco from June 2 to 5, while the Databricks Data+AI Summit took place 5 days later, from June 10 to 13, also in San Francisco. Using a quick semantic analysis, "The" means both want to be THE platform you need when you're doing data.

Metadata 147

Metadata Data Warehouse BI MySQL 147

Data Engineering Podcast

JANUARY 8, 2023

Summary Managing end-to-end data flows becomes complex and unwieldy as the scale of data and its variety of applications in an organization grows. Part of this complexity is due to the transformation and orchestration of data living in disparate systems. Missing data? Start trusting your data with Monte Carlo today!

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130

Christophe Blefari

SEPTEMBER 15, 2023

Facing the News ( credits ) Hello Data News readers. If you're late to the party and you need fresh views on LLMs Daniel wrote an introduction demystifying the Large Language Models and Jesse wrote about LLMs impact from a Data Engineering perspective. How to reduce warehouse costs? A bittersweet feeling.

Data Warehouse 130

Data Warehouse Data SQL Python 130

Data Engineering Podcast

JANUARY 15, 2023

Summary The modern data stack has made it more economical to use enterprise grade technologies to power analytics at organizations of every scale. At the Modern Data Company they created the DataOS platform as a means of driving your full analytics lifecycle through code, while providing automatic knowledge graphs and data discovery.

Coding 130

Coding Building PostgreSQL Data Lake 130

Data Engineering Weekly

FEBRUARY 9, 2025

link] QuantumBlack: Solving data quality for gen AI applications Unstructured data processing is a top priority for enterprises that want to harness the power of GenAI. It brings challenges in data processing and quality, but what data quality means in unstructured data is a top question for every organization.

Data Engineer 57

Data Engineer Data Engineering Engineering Unstructured Data 57

databricks

FEBRUARY 12, 2023

Oracle is a well-known technology for hosting Enterprise Data Warehouse solutions. However, many customers like Optum and the U.S. Citizenship and Immigration Services.

Coding 122

Coding SQL Data Warehouse Technology 122

Data Engineering Podcast

FEBRUARY 11, 2023

Summary Data is a team sport, but it's often difficult for everyone on the team to participate. For a long time the mantra of data tools has been "by developers, for developers", which automatically excludes a large portion of the business members who play a crucial role in the success of any data project.

PostgreSQL 130

PostgreSQL SQL Machine Learning Data Warehouse 130

Sync Computing

NOVEMBER 7, 2024

Data is central to modern business and society. Depending on what sort of leaky analogy you prefer, data can be the new oil , gold , or even electricity. Of course, even the biggest data sets are worthless, and might even be a liability, if they arent organized properly.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Data Engineering Podcast

DECEMBER 28, 2022

Summary With all of the messaging about treating data as a product it is becoming difficult to know what that even means. Vishal Singh is the head of products at Starburst which means that he has to spend all of his time thinking and talking about the details of product thinking and its application to data.

Data Lake 130

Data Lake Data Warehouse Data Pipeline MongoDB 130