Apache Iceberg Lakehouse | BigLake
Build an open, managed, and high performance Iceberg lakehouse with BigLake for faster data analytics across multi-cloud storage and open formats.
Build an open, managed, and high performance Iceberg lakehouse with BigLake for faster data analytics across multi-cloud storage and open formats.
Learn to make the most out of your lakehouse architecture—and empower modern data analytics—with Azure Databricks and Microsoft Fabric.
We are thrilled to announce the general availability of Mirroring for Azure Databricks Unity Catalog in Microsoft Fabric—a secure, high-performance integration that provides seamless access to Azure Databricks tables from Fabric. With Fabric and Azure Databricks, we are building…
BigQuery is the autonomous data and AI platform, automating the entire data life cycle so you can go from data to AI to action faster.
The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products. (⭐ 282)
Creation of a data lakehouse and an ELT pipeline to enable the efficient analysis and use of data (⭐ 50)
Sample Data Lakehouse deployed in Docker containers using Apache Iceberg, Minio, Trino and a Hive Metastore. Can be used for local testing. (⭐ 75)
Does anyone here already know and implement lakehouse? For a company now running a data warehouse in a controlled manner, is it necessary to convert to a lakehouse? What are the key use cases for a la...
Playground for Lakehouse (Iceberg, Hudi, Spark, Flink, Trino, DBT, Airflow, Kafka, Debezium CDC) (⭐ 66)
Have lakehouse training coming up in the first week of December, planning on quitting end of December/beginning of January. Should I tell someone beforehand/change the lakehouse dates, or take the tri...
In this paper, we introduce GraphLake, a purpose-built graph compute engine for Lakehouse. GraphLake is built on top of the commercial graph database TigerGraph. It maps Lakehouse tables to vertex and edge types in a labeled property graph and suppor...
Power BI and Azure Databricks lakehouse are the perfect combination for delivering a modern BI stack
Use Databricks in a data lakehouse paradigm for generative AI, ACID transactions, data governance, ETL, BI, and machine learning.
Architect your data lakehouse with Google Cloud and unlock multimodal insights, AI/ML, and real-time decisions on a cost-effective, scalable platform.
Architect your data lakehouse with Google Cloud and unlock multimodal insights, AI/ML, and real-time decisions on a cost-effective, scalable platform.
I have been working for KPMG for several years now at lakehouse doing lobby introducing thousands of partners, interns, and KPMG veterans alike. I was wondering, how many of you guys have been to Lak...
I’m trying to develop an external React dashboard that displays live analytics from our Microsoft Fabric Lakehouse. To securely access the data, the idea is that backend uses a Service Principal to ...
No description (⭐ 10)
Due to the variety of its target use cases and the large API surface area to cover, a data lakehouse (DLH) is a natural candidate for a composable data system. Bauplan is a composable DLH built on "spare data parts" and a unified Function-as-a-Servic...
Going to Lakehouse for the first time, what’s your favorite meal there? Also, dessert recs very welcome...
Has anyone gotten the registration email for KPMG Talent sync Lakehouse yet? the email said we should expect a registration link in late jan so just wondering if its buried or if anyone else has gotte...
In an earlier post some might have inferred that I didn’t like Lakehouse, which is not the case. It was actually over all pretty nice and would definitely recommend people go if they get the chance....
Lakehouse systems have reached in the past few years unprecedented size and heterogeneity and have been embraced by many industry players. However, they are often difficult to use as they lack the declarative language and optimization possibilities o...
I’m an incoming associate with an official start date of January 8th (onboarding), and Lakehouse training from January 11-16th. I’ve booked my room, but have not yet bought the flight because I am...
Anyone got interesting Lakehouse stories? I'll go first When I was there, some kid was staying there for like 4 days unaccounted for. Kid declined his offer but they sent him an email to sign up anyw...
The recently proposed Data Lakehouse architecture is built on open file formats, performance, and first-class support for data transformation, BI and data science: while the vision stresses the importance of lowering the barrier for data work, existi...
I just electronically accepted my offer today! What’s the deal with Lakehouse? Is it for all new hires or just certain levels/ divisions? I have an internal role in the office of the CFO....
i’m an incoming intern for kpmg and i got the chance to visit lakehouse and it was breathtaking. do other big 4s have something similar for trainings?...
Points: 312 | Comments: 101 | Author: davidgomes
No description (⭐ 105)
This article covers best practices supporting principles of cost optimization on the data lakehouse on Azure Databricks.
This article covers best practices supporting principles of performance efficiency on the data lakehouse on Azure Databricks.
Over the past few years, T-Mobile faced a new challenge of rolling out and building a nationwide 5G network. The success of T-Mobile’s 5G goals demanded effective and accurate reporting on data and metrics related to supply chain and business critical information. Using a data la…
Use Databricks in a data lakehouse paradigm for generative AI, ACID transactions, data governance, ETL, BI, and machine learning.
Build an open, managed, and high performance Iceberg lakehouse with BigLake for faster data analytics across multi-cloud storage and open formats.
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