This is an automated email from the ASF dual-hosted git repository.
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The following commit(s) were added to refs/heads/asf-site by this push:
new b46b902 [MINOR] Fixing powered by pages with logos against company
(#4722)
b46b902 is described below
commit b46b90231a35aba1e0f0400dfb26419bb27b4d2e
Author: Sivabalan Narayanan <[email protected]>
AuthorDate: Sun Jan 30 22:13:33 2022 -0500
[MINOR] Fixing powered by pages with logos against company (#4722)
---
website/src/pages/powered-by.md | 202 +++++++++++++++------
.../static/assets/images/powers/DoubleVerify.png | Bin 0 -> 36270 bytes
.../static/assets/images/powers/GE_aviation.png | Bin 0 -> 72123 bytes
website/static/assets/images/powers/ai_bank.png | Bin 0 -> 22077 bytes
website/static/assets/images/powers/amazon.png | Bin 0 -> 110569 bytes
website/static/assets/images/powers/bilibili.png | Bin 0 -> 70800 bytes
website/static/assets/images/powers/bytedance.png | Bin 0 -> 83244 bytes
website/static/assets/images/powers/cirium.png | Bin 0 -> 68961 bytes
.../static/assets/images/powers/disney_hotstar.png | Bin 0 -> 28807 bytes
.../static/assets/images/powers/google_cloud.png | Bin 0 -> 52087 bytes
website/static/assets/images/powers/grofers.png | Bin 0 -> 51330 bytes
website/static/assets/images/powers/halodoc.png | Bin 0 -> 69591 bytes
website/static/assets/images/powers/hopsworks.png | Bin 0 -> 26456 bytes
website/static/assets/images/powers/huawei.png | Bin 0 -> 209684 bytes
.../static/assets/images/powers/tencent_cloud.png | Bin 0 -> 20976 bytes
website/static/assets/images/powers/udemy.png | Bin 0 -> 58830 bytes
website/static/assets/images/powers/walmart.png | Bin 0 -> 90716 bytes
17 files changed, 149 insertions(+), 53 deletions(-)
diff --git a/website/src/pages/powered-by.md b/website/src/pages/powered-by.md
index 8aff705..01acd40 100644
--- a/website/src/pages/powered-by.md
+++ b/website/src/pages/powered-by.md
@@ -3,117 +3,213 @@ title: "Powered By"
keywords: [hudi, powered-by]
last_modified_at: 2019-12-31T15:59:57-04:00
---
-export const companiesList = [
- { img_path: '/assets/images/powers/uber.png', },
- { img_path: '/assets/images/powers/aws.jpg', },
- { img_path: '/assets/images/powers/alibaba.png', },
- { img_path: '/assets/images/powers/clinbrain.png', },
- { img_path: '/assets/images/powers/emis.jpg', },
- { img_path: '/assets/images/powers/yield.png', },
- { img_path: '/assets/images/powers/qq.png', },
- { img_path: '/assets/images/powers/tongcheng.png', },
- { img_path: '/assets/images/powers/yotpo.png', },
- { img_path: '/assets/images/powers/kyligence.png', },
- { img_path: '/assets/images/powers/tathastu.png', },
- { img_path: '/assets/images/powers/shunfeng.png', },
- { img_path: '/assets/images/powers/lingyue.png', },
- { img_path: '/assets/images/powers/37.PNG', },
- { img_path: '/assets/images/powers/H3C.JPG', },
- { img_path: '/assets/images/powers/moveworks.png', },
- { img_path: '/assets/images/powers/robinhood.png', },
- { img_path: '/assets/images/powers/zendesk.png', },
-];
# Who's Using
## Adoption
-### Alibaba Cloud
+<img src="/assets/images/powers/alibaba.png" alt="drawing"/>
+
+<br/>
+
+### Alibaba Cloud
Alibaba Cloud provides cloud computing services to online businesses and
Alibaba's own e-commerce ecosystem, Apache Hudi is integrated into Alibaba
Cloud [Data Lake Analytics](https://www.alibabacloud.com/help/product/70174.htm)
offering real-time analysis on hudi dataset.
-### Amazon Web Services
+<img src="/assets/images/powers/aws.jpg" alt="drawing" width="100"/>
+<br/>
+
+### Amazon Web Services
Amazon Web Services is the World's leading cloud services provider. Apache
Hudi is [pre-installed](https://aws.amazon.com/emr/features/hudi/) with the AWS
Elastic Map Reduce
offering, providing means for AWS users to perform record-level
updates/deletes and manage storage efficiently.
-### Clinbrain
+<img src="/assets/images/powers/clinbrain.png" alt="drawing"/>
+<br/>
+
+### Clinbrain
[Clinbrain](https://www.clinbrain.com/) is the leader of big data platform
and usage in medical industry. We have built 200 medical big data centers by
integrating Hudi Data Lake solution in numerous hospitals. Hudi provides the
ability to upsert and delete on hdfs, at the same time, it can make the fresh
data-stream up-to-date efficiently in hadoop system with the hudi incremental
view.
-### EMIS Health
+<img src="/assets/images/powers/emis.jpg" alt="drawing"/>
+<br/>
+
+### EMIS Health
[EMIS Health](https://www.emishealth.com/) is the largest provider of Primary
Care IT software in the UK with datasets including more than 500Bn healthcare
records. HUDI is used to manage their analytics dataset in production and
keeping them up-to-date with their upstream source. Presto is being used to
query the data written in HUDI format.
-### Grofers
+<img src="/assets/images/powers/grofers.png" alt="drawing" width="150"/>
+<br/>
+
+### Grofers
[Grofers](https://grofers.com) is a grocery delivery provider operating across
APAC region. Grofers has [integrated
hudi](https://lambda.grofers.com/origins-of-data-lake-at-grofers-6c011f94b86c)
in its central pipelines for replicating backend database CDC into the
warehouse.
-### H3C Digital Platform
+<img src="/assets/images/powers/H3C.JPG" alt="drawing" width="150"/>
+<br/>
+### H3C Digital Platform
[H3C digital platform](http://www.h3c.com/) provides the whole process
capability of data collection, storage, calculation and governance, and enables
the construction of data center and data governance ability for medical, smart
park, smart city and other industries;
Apache Hudi is integrated in the digital platform to meet the real-time update
needs of massive data
-### Kyligence
+<img src="/assets/images/powers/kyligence.png" alt="drawing"/>
+<br/>
+### Kyligence
[Kyligence](https://kyligence.io/zh/) is the leading Big Data analytics
platform company. We’ve built end to end solutions for various Global Fortune
500 companies in US and China. We adopted Apache Hudi in our Cloud solution on
AWS in 2019. With the help of Hudi, we are able to process upserts and deletes
easily and we use incremental views to build efficient data pipelines in AWS.
The Hudi datasets can also be integrated to Kyligence Cloud directly for high
concurrent OLAP access.
-### Lingyue-digital Corporation
+<img src="/assets/images/powers/lingyue.png" alt="drawing" width="100"/>
+<br/>
+### Lingyue-digital Corporation
[Lingyue-digital Corporation](https://www.lingyue-digital.com/) belongs to BMW
Group. Apache Hudi is used to perform ingest MySQL and PostgreSQL change data
capture. We build up upsert scenarios on Hadoop and spark.
-### Logical Clocks
+<img src="/assets/images/powers/hopsworks.png" alt="drawing" width="200"/>
+<br/>
+### Logical Clocks
[Hopsworks 1.x
series](https://www.logicalclocks.com/blog/introducing-the-hopsworks-1-x-series)
supports Apache Hudi feature groups, to enable upserts and time travel.
-### SF-Express
+<img src="/assets/images/powers/shunfeng.png" alt="drawing" width="200"/>
+<br/>
+
+### SF-Express
[SF-Express](https://www.sf-express.com/cn/sc/) is the leading logistics
service provider in China. HUDI is used to build a real-time data warehouse,
providing real-time computing solutions with higher efficiency and lower cost
for our business.
-### Tathastu.ai
+<img src="/assets/images/powers/tathastu.png" alt="drawing" width="150"/>
+<br/>
+
+### Tathastu.ai
[Tathastu.ai](https://www.tathastu.ai) offers the largest AI/ML playground of
consumer data for data scientists, AI experts and technologists to build upon.
They have built a CDC pipeline using Apache Hudi and Debezium. Data from Hudi
datasets is being queried using Hive, Presto and Spark.
-### Tencent
+<img src="/assets/images/powers/qq.png" alt="drawing" width="100"/>
+<br/>
+
+### Tencent
[EMR from Tencent](https://intl.cloud.tencent.com/product/emr) Cloud has
integrated Hudi as one of its BigData components [since
V2.2.0](https://intl.cloud.tencent.com/document/product/1026/35587). Using
Hudi, the end-users can handle either read-heavy or write-heavy use cases, and
Hudi will manage the underlying data stored on HDFS/COS/CHDFS using Apache
Parquet and Apache Avro.
-### Uber
+<img src="/assets/images/powers/uber.png" alt="drawing" width="100"/>
+<br/>
+
+### Uber
Apache Hudi was originally developed at [Uber](https://uber.com), to achieve
[low latency database ingestion, with high
efficiency](http://www.slideshare.net/vinothchandar/hadoop-strata-talk-uber-your-hadoop-has-arrived/32).
It has been in production since Aug 2016, powering the massive [100PB data
lake](https://eng.uber.com/uber-big-data-platform/), including highly business
critical tables like core trips,riders,partners. It also
powers several incremental Hive ETL pipelines and being currently integrated
into Uber's data dispersal system.
-### Udemy
+<img src="/assets/images/powers/udemy.png" alt="drawing" width="100"/>
+<br/>
+
+### Udemy
At [Udemy](https://www.udemy.com/), Apache Hudi on AWS EMR is used to perform
ingest MySQL change data capture.
-### Yields.io
+<img src="/assets/images/powers/yield.png" alt="drawing" width="100"/>
+<br/>
+
+### Yields.io
Yields.io is the first FinTech platform that uses AI for automated model
validation and real-time monitoring on an enterprise-wide scale. Their [data
lake](https://www.yields.io/Blog/Apache-Hudi-at-Yields) is managed by Hudi.
They are also actively building their infrastructure for incremental, cross
language/platform machine learning using Hudi.
-### Yotpo
+<img src="/assets/images/powers/yotpo.png" alt="drawing" width="80"/>
+<br/>
+
+### Yotpo
Using Hudi at Yotpo for several usages. Firstly, integrated Hudi as a writer
in their open source ETL framework,
[Metorikku](https://github.com/YotpoLtd/metorikku) and using as an output
writer for a CDC pipeline, with events that are being generated from a database
binlog streams to Kafka and then are written to S3.
-### Zendesk
+<img src="/assets/images/powers/zendesk.png" alt="drawing" width="80"/>
+<br/>
+
+### Zendesk
At [Zendesk](https://www.zendesk.com/), Apache Hudi is adopted for building
Data Lake on AWS.
-### 37 Interactive Entertainment
+ <img src="/assets/images/powers/37.PNG" alt="drawing" width="100"/>
+<br/>
+
+### 37 Interactive Entertainment
[37 Interactive Entertainment](https://www.37wan.net/) is a global Top20
listed game company, and a leading company on A-shares market of China.
Apache Hudi is integrated into our Data Middle Platform offering real-time
data warehouse and solving the problem of frequent changes of data.
Meanwhile, we build a set of data access standards based on Hudi, which
provides a guarantee for massive data queries in game operation scenarios.
-## Powered by
-
-<div className="page__hero--overlay">
- <div className="home-power-items">
- {
- companiesList.map(
- company => (
- (() => {
- return <div className="who-uses"><img src={ company.img_path
}/></div>
- })()
- )
- )
- }
- </div>
-</div>
+<img src="/assets/images/powers/robinhood.png" alt="drawing" width="200"/>
+<br/>
+
+### Robinhood
+[Rds data lake at Robinhood using Apache
Hudi](https://www.slideshare.net/BalajiVaradarajan13/rds-data-lake-robinhood)
+
+<img src="/assets/images/powers/bytedance.png" alt="drawing" width="200"/>
+<br/>
+
+### ByteDance
+[Building an ExaByte-level Data Lake Using Apache
Hudi](https://hudi.apache.org/blog/2021/09/01/building-eb-level-data-lake-using-hudi-at-bytedance/)
+
+<img src="/assets/images/powers/amazon.png" alt="drawing" width="150"/>
+<br/>
+
+### Amazon
+[Amazon Transportation Service enabled near-real-time event analytics at
petabyte scale using AWS Glue with Apache
Hudi](https://aws.amazon.com/blogs/big-data/how-amazon-transportation-service-enabled-near-real-time-event-analytics-at-petabyte-scale-using-aws-glue-with-apache-hudi/)
+
+<img src="/assets/images/powers/walmart.png" alt="drawing" width="200"/>
+<br/>
+
+### Walmart
+[Walmart uses Apache Hudi to build their Data
Lake](https://searchdatamanagement.techtarget.com/feature/Hudi-powering-data-lake-efforts-at-Walmart-and-Disney-Hotstar)
+
+<img src="/assets/images/powers/disney_hotstar.png" alt="drawing" width="100"/>
+<br/>
+
+### Disney+Hotstar
+[Migrating CDC data to Apache Hudi](https://youtu.be/ZamXiT9aqs8)
+
+<img src="/assets/images/powers/GE_aviation.png" alt="drawing" width="200"/>
+
+### GE Aviation
+[GE Aviation built cloud-native data pipelines at enterprise scale using
Apache Hudi in AWS
platform](https://aws.amazon.com/blogs/big-data/how-ge-aviation-built-cloud-native-data-pipelines-at-enterprise-scale-using-the-aws-platform/)
+
+<img src="/assets/images/powers/halodoc.png" alt="drawing" width="150"/>
+<br/>
+
+### Halodoc
+[Lake House Architecture at Halodoc: Data Platform
2.0](https://blogs.halodoc.io/lake-house-architecture-halodoc-data-platform-2-0/)
+
+<img src="/assets/images/powers/google_cloud.png" alt="drawing" width="200"/>
+<br/>
+
+### Google Cloud
+
+<img src="/assets/images/powers/moveworks.png" alt="drawing" width="200"/>
+<br/>
+
+### Moveworks
+
+<img src="/assets/images/powers/DoubleVerify.png" alt="drawing" width="200"/>
+<br/>
+
+### Double Verify
+
+<img src="/assets/images/powers/cirium.png" alt="drawing" width="200"/>
+<br/>
+
+### Cirium
+
+<img src="/assets/images/powers/bilibili.png" alt="drawing" width="200"/>
+<br/>
+
+### Bilibili
+
+<img src="/assets/images/powers/ai_bank.png" alt="drawing" width="200"/>
+<br/>
+
+### AI Bank
+
+<img src="/assets/images/powers/huawei.png" alt="drawing" width="150"/>
+<br/>
+
+### Huawei
+
+<img src="/assets/images/powers/tongcheng.png" alt="drawing" width="150"/>
+<br/>
+
+### Tongcheng
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