Re: [Discuss] Reposition Kylin as "Analytical Data warehouse for big data"

[ShaoFeng Shi <sh...@apache.org>]

Hello,

The new slogan has been updated to Kylin website: https://kylin.apache.org/

Other places will be updated in the next days. Thanks to everybody!

Best regards,

Shaofeng Shi 史少锋
Apache Kylin PMC
Email: shaofengshi@apache.org

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ShaoFeng Shi <sh...@apache.org> 于2020年1月21日周二 下午5:04写道：

> Thanks to the ones who gave comments. This thread is still open for wider
> discussion. I plan to update the home page in Feb, after the Chinese New
> Year holiday.
>
> Best regards,
>
> Shaofeng Shi 史少锋
> Apache Kylin PMC
> Email: shaofengshi@apache.org
>
> Apache Kylin FAQ: https://kylin.apache.org/docs/gettingstarted/faq.html
> Join Kylin user mail group: user-subscribe@kylin.apache.org
> Join Kylin dev mail group: dev-subscribe@kylin.apache.org
>
>
>
>
> Luke Han <lu...@gmail.com> 于2020年1月19日周日 下午2:02写道：
>
>> +1,
>>
>> Kylin is helping many companies to manage their Golden Data for Big Data,
>> and the most of use cases are for Analytics purpose.
>> From OLAP to Analtyics DW is the destination of Kylin.
>>
>> looking forward to the legend to evolve to the next stage.
>>
>> Cool!
>>
>> Best Regards!
>> ---------------------
>>
>> Luke Han
>>
>>
>> On Mon, Jan 13, 2020 at 3:12 PM codingforfun@126.com <
>> codingforfun@126.com> wrote:
>>
>>> +1.
>>> Maybe kylin can support materialized views someday.
>>>
>>>
>>> 在 2020年1月13日，14:58，Xiaoxiang Yu <xx...@apache.org> 写道：
>>>
>>> +1
>>> Great suggestion. And I wish in the future, Kylin could support more and
>>> more data source and provided better performance when build segment .
>>>
>>>
>>>
>>>
>>> --
>>> *Best wishes to you ! *
>>> *From ：**Xiaoxiang Yu*
>>>
>>> At 2020-01-12 20:32:12, "ShaoFeng Shi" <sh...@apache.org> wrote:
>>>
>>> Hello, Kylin developers and users, HAPPY NEW YEAR 2020!
>>>
>>> In last month, we released Kylin 3.0, with the new Real-time streaming
>>> feature and a Lambda architecture. This allows our users to host only one
>>> system for both batch and real-time analytics, and then can query batch and
>>> streaming data together.
>>>
>>> If you look at Kylin's home page, its slogan is still the "OLAP Engine
>>> for Big data", which was made 5 years ago when it was born. While today,
>>> Kylin's capability has been verified beyond an "OLAP engine". I visited
>>> many Kylin users in China, US, Euro in last year, and have got many
>>> different scenarios:
>>>
>>> 1. eBay initiated the Kylin project to offload analytical workloads from
>>> Teradata to Hadoop; Kylin serves the online queries with high performance
>>> and high availability. Till today, Kylin serves millions of queries every
>>> day, most are in < 1 seconds;
>>> 2. China Unionpay and CPIC use Kylin to replace IBM Cognos cubes. One
>>> Kylin cube replaced more than 100 Cognos cubes, with better building
>>> performance and query performance.
>>> 3. China Construction Bank uses Hadoop + Kylin to offload the Greenplum.
>>> Some systems have been migrated to Kylin successfully.
>>> 4. Yum (KFC) and several other users are using Kylin to replace
>>> Microsoft SSAS.
>>> 5. Meituan, Ctrip, JD, Didi, Xiao Mi, Huawei, OLX group, autohome.com.cn,
>>> Xactly, and many others are using Kylin as the platform of their DaaS (Data
>>> as a Service), providing data service to their thousands of internal
>>> analysts and tens of thousands of external tenants.
>>>
>>> Now let's look at the definition of Data warehouse [1]:
>>>
>>> "*A data warehouse is a subject-oriented, integrated, time-variant and
>>> non-volatile collection of data in support of management's decision-making
>>> process.*"
>>>
>>> In Kylin, each model/cube is created for a certain subject; Kylin
>>> integrates well with Hive, Hadoop, Spark, Kafka, and other systems; Kylin
>>> incremental loads the data by time, build the cube and then save as
>>> segments (partitions), and they are non-volatile unless you refresh them;
>>> During the analysis (roll-up, drill-down, etc), the data is always
>>> consistent. Kylin provides SQL interface and JDBC/ODBC/HTTP API for you to
>>> easily connect from BI/visualization tools like Tableau and others.
>>>
>>> All in all, you can see that users are using Kylin not just as a SQL
>>> engine, but also as an Analytical Data Warehouse, for very large scale data
>>> (PB scale). In the world of big data, Kylin is unique. Its design is
>>> elegant, its architecture is scalable and pluggable.  In order to give
>>> Kylin more visibility and can be discovered by more people, I propose to
>>> change Kylin's position/slogan from the "OLAP engine for big data" to
>>> "Analytical Data warehouse for big data".
>>>
>>> Please feel free to share your comments.
>>>
>>> [1]
>>> https://www.1keydata.com/datawarehousing/data-warehouse-definition.html
>>>
>>> Best regards,
>>>
>>> Shaofeng Shi 史少锋
>>> Apache Kylin PMC
>>> Email: shaofengshi@apache.org
>>>
>>> Apache Kylin FAQ: https://kylin.apache.org/docs/gettingstarted/faq.html
>>> Join Kylin user mail group: user-subscribe@kylin.apache.org
>>> Join Kylin dev mail group: dev-subscribe@kylin.apache.org
>>>
>>>
>>>
>>>