?? With AWS re:Invent right around the corner, it's a good time to talk #dataengineering and Amazon #EMR. ??? Are your Apache Hudi pipelines on EMR as performant as you'd like them to be? The team at Onehouse is here to help. ?? Join our webinar to learn how you can: - Accelerate query performance 95% - Reduce cloud infrastructure costs by 20-80% - Cut write costs by more than 80% ?? Sign up today! https://lnkd.in/g852Gbfy #onehouse #dataengineering #nolockin #datalakehouse #apachehudi #opensource?
关于我们
Onehouse, the pioneer in open data lakehouse technology, empowers enterprises to deploy and manage a world-class data lakehouse in minutes on Apache Hudi, Apache Iceberg, and Delta Lake. Delivered as a fully-managed cloud service in your VPC, Onehouse offers high-performance ingestion pipelines for minute-level freshness and optimizes tables for maximum query performance. Thanks to its truly open data architecture, Onehouse eliminates data format, table format, compute and catalog lock-ins, guarantees interoperability with virtually any warehouse/data processing engine, and ensures exceptional ELT and query performance for all your workloads. Companies worldwide rely on Onehouse to power their analytics, reporting, data science, machine learning, and GenAI use cases from a single, unified source of data. Built on Apache Hudi and Apache XTable (Incubating), Onehouse features advanced capabilities such as indexing, ACID transactions, and time travel, ensuring consistent data across all downstream query engines and tools. The platform’s unique incremental processing capabilities deliver unmatched ELT cost and performance by minimizing data movement and optimizing resource usage. With 24/7 reliability, immediate cost savings, and open access for all major tools and query engines, benefit from Onehouse's #nolockin philosophy to future-proof any stack.
- 网站
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https://onehouse.ai
Onehouse的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- Menlo Park，California
- 类型
- 私人持股
- 创立
- 2021
地点
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主要
获取路线
2550 Sand Hill Rd
STE 200
US，California，Menlo Park，94025
Onehouse员工
动态
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?? You can bag some of the coolest swag at AWS re:Invent from Onehouse at booth 170. ?? Book a meeting time with Onehouse to learn about the fastest data lakehouse for Amazon EMR. ?? Learn how to:? ?* Ingest & transform data in minutes, at scale ?* Store in Apache Hudi, Apache Iceberg, and Delta Lake formats ?* Accelerate performance with auto-optimized tables ?* Query with Athena, Redshift, Snowflake, Databricks, and more ?? …and receive the premium Onehouse swag collection - with not one, but two of our special edition t-shirts, and more! https://lnkd.in/gwPFcBfT #onehouse #dataengineering #nolockin #datalakehouse #apachehudi #apachextable #opensource
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Looking to cut your Snowflake ? costs? Share our on-demand webinar with your team; we're confident you'll find useful tips.
It's no secret that?? Snowflake users love their data cloud. But did you know you could reduce your ingestion costs with a #datalakehouse for ETL/ELT, and still deliver up-to-the-minute data to your Snowflake users? And with industry-first multi-catalog sync from Onehouse, you'll end up with a single “source of truth” copy of your data, for all use cases and all downstream engines - Snowflake, Databricks, Flink, Spark, and more. Join our webinar to see how it's done!
Implementing the fastest, most open data lakehouse for Snowflake ETL/ELT
www.dhirubhai.net
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?? Imagine an data lakehouse solution for Amazon Web Services (AWS) EMR that’s fully automated. ??? With lower costs, improved performance, and less hassle. ???? Then watch your dreams come true in our webinar, three weeks away. ??♂? Led by a PM dream team, Kyle Weller and Chandramouli Krishnan. https://lnkd.in/g-Cgqx24 #onehouse #dataengineering #nolockin #datalakehouse #opensource?
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?? Neither snow nor rain nor heat nor gloom of night stays the monthly Apache Hudi newsletter from its appointed rounds. ?? Catch up with Apache Hudi: The Definitive Guide; how Shopee is saving time and money on truly large datasets with Hudi (below); a Community Sync with the Amazon Engineering Team; a deep dive on Snowflake data optimization on S3; and more! https://lnkd.in/gbdW9uk2 #onehouse #dataengineering #nolockin #datalakehouse #apachehudi #opensource
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?? Where do the pros at Amazon go to power on-demand analytics for many Amazon Worldwide Stores? ?? Why, Apache Hudi, of course. Come to tomorrow’s Community Sync to hear all about it. https://lnkd.in/g3NdXkyV #onehouse #dataengineering #nolockin #datalakehouse #apachehudi #opensource
Scaling operations & onboarding new businesses rapidly is a key challenge faced by organizations today. In this talk from Amazon Engineering, speakers will discuss how they've built a config-driven system named Nexus, that allows them to create and alter workflows, business logic for the underlying data lake built on top of Apache Hudi, using only configurations. Amazon Unit Economics org produces unit-level profitability metrics for a lot of Amazon WorldWide Stores. To scale operations effectively and onboard new businesses rapidly, Nexus empowers finance teams to define their own use cases through configurations, which in turn drives workflow creation, business logic execution, and data persistence within Amazon’s Hudi-based data lake across different stages of the data lifecycle. This talk will provide insights into the challenges encountered during Nexus’s development, unique discoveries made due to the scale of Hudi’s use, and future plans for expanding its capabilities.
Powering Amazon Unit Economics with Configurations and Apache Hudi
www.dhirubhai.net
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?? Want a fun and interesting update on the world of open data? Our own Vinoth Chandar Chander joins the Catalog & Cocktails crew for a chat. ?????? Fun fact: About 15 years ago, Juan Sequeda, one of the hosts, was database TA for Vinoth at UT Austin! Juan and Tim Gasper lead an interesting discussion. ?? In the chat, Vinoth describes how to avoid vendor lock-in and how open table formats unlock flexibility and collaboration around data. An easy listen, with the latest and greatest happenings around the data lakehouse. https://lnkd.in/gvbTKp-b #onehouse #dataengineering #nolockin #datalakehouse #apachehudi #opensource?
The Truth About Open Table Formats with Vinoth Chandar, this week on Catalog & Cocktails: The Honest No-BS Data Podcast! The data world is buzzing about open table formats and lakehouses, but what's the real story? Vinoth Chandar, founder & CEO of Onehouse, creator of Apache Hudi, unpacks the challenges of data siloes and vendor lock-in, and explains how open table formats are the key to unlocking true data flexibility and collaboration.
The Truth About Open Table Formats with Vinoth Chandar
www.dhirubhai.net
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Kudos to Microsoft and the Apache XTable (Incubating) community. Open lakes, not walled gardens ??
Apache XTable in Production! ?? So amazing to see this come out for public preview. Customers can now use Azure OneLake shortcuts to simply point to an Apache Iceberg table written using Snowflake or another Iceberg writer, and OneLake does the magic of virtualizing that table as a Delta Lake table for broad compatibility across Microsoft Fabric engines. This "metadata virtualization" is powered by Apache XTable, which takes the source Iceberg tables and atomically generates the corresponding Delta Lake metadata. This shows the robust capabilities of XTable in production use cases such as these which will be used by tens of thousands of users at scale. "Interoperability" is key to a lakehouse architecture's openness providing flexible access to multiple compute and catalogs. Blog: https://lnkd.in/dr-h6KMn #dataengineering #lakehouse
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It's no secret that?? Snowflake users love their data cloud. But did you know you could reduce your ingestion costs with a #datalakehouse for ETL/ELT, and still deliver up-to-the-minute data to your Snowflake users? And with industry-first multi-catalog sync from Onehouse, you'll end up with a single “source of truth” copy of your data, for all use cases and all downstream engines - Snowflake, Databricks, Flink, Spark, and more. Join our webinar to see how it's done!
Implementing the fastest, most open data lakehouse for Snowflake ETL/ELT
www.dhirubhai.net
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?? Set your timer for an hour. Learn how to cut your Snowflake costs - with improved performance.
It's no secret that?? Snowflake users love their data cloud. But did you know you could reduce your ingestion costs with a #datalakehouse for ETL/ELT, and still deliver up-to-the-minute data to your Snowflake users? And with industry-first multi-catalog sync from Onehouse, you'll end up with a single “source of truth” copy of your data, for all use cases and all downstream engines - Snowflake, Databricks, Flink, Spark, and more. Join our webinar to see how it's done!
Implementing the fastest, most open data lakehouse for Snowflake ETL/ELT
www.dhirubhai.net