Episode 8: Join the Big Data Revolution
Apache Kylin is an open-source distributed analytical data warehouse designed with big datasets in mind. Through a clever mix of multi-dimensional cubes, plug-ins, and precomputation, Kylin can provide near-constant processing speeds, no matter how large your database, with a low latency of less than a second – reducing costs for those who adopt the technology in terms of time and the manpower required to conduct adequate analysis.
This winner of numerous business awards is embraced by over a thousand businesses across the globe looking for a solution to the issue of keeping and analyzing massive amounts of data enough to allow their findings to impact their business.
According to the level of its creators, this story started the journey of the unassuming hero of modern-day Big Data Analytics, Apache Kylin.
As we end our series of talks about the history of Apache Kylin, Let’s talk about the key points you’d like people to remember. You’ve all invested lots of time and energy into building this open-source community centered around Apache Kylin.
What do you suggest to get someone to be involved in the project?
A L E U Apache Kylin is just transitioning into the new generation, and many significant challenges are expected to come to the forefront soon. We’d like those looking to overcome the challenges to join us. With the coming Generation of Big Data similar to 5G, plenty of new challenges will be overcome. Therefore, to those engineers who are eager to tackle these challenges, I urge them to join us.
The D O N G is that this is a great place that offers endless opportunities. There’s no restriction regarding your age, experience, or level of technical expertise. It’s all about your passion and contribution. If you are determined to put in the effort and desire to progress in technology, you can be part of this community and rapidly growing within it.
The H O N G B IN Apache Kylin is a viral project within the big data community, and various companies across the globe are accepting our concept. Recently, we came across an open-source project by Alibaba that drew many of its ideas taken from Apache Kylin, so I’d say the approach Kylin solves the issues with big data is becoming increasingly popular and is being accepted by a variety of large companies in the field. I encourage anyone who wants to succeed in big data to participate.
J A S O N J A S O N Apache Kylin is doing what’s next for data. Many users rely on traditional tools and invest all day and for hours, yet they only sometimes achieve the desired result or choose the most efficient path. This new platform with innovative tools could truly help; however, more than just a few of us working on this project is needed. We need more people to get this correct. The more skilled people involved in this project, the better Kylin will be, and we can help more people.
There are numerous, many examples of users – Didi, that is similar to Uber within America. Meituan, a massive food delivery service, and ByteDance, the parent company behind TikTok. The majority of large companies use Kylin because the problem we assist solves present everywhere and in every field. Every company is awash with data and must tackle the problem of analysis and storage; however, there are few options. Apache Kylin is the most suitable option for them on OLAP, Hadoop, and Spark.
What is the one thing you’d like people to know and keep in mind concerning Apache Kylin?
The L U E I’d like people to be aware of this: Apache Kylin is the de-reality standard in the business. It is a highly regarded extensive data analytics system because it’s a promising technology that can analyze massive data sets.
S H A O F E N G: Absolutely. Apache Kylin is an excellent open-source project that can aid in bridging your analytics with an advanced Big Data platform.
The D O N G is that there are a lot of factors that make Kylin unforgettable. In the end, if you want to enhance your information’s value using open technologies, Apache Kylin is the best choice for you.
A H O N B I N I’d suggest that people think about the issues Apache Kylin can help them overcome because it’s a fantastic tool. The user should consider the function Apache Kylin could be a part of their technology stack as Kylin is intended to replace only some components of the big data stack of technology.
JA S S ON: Users need to know that Apache Kylin is a distributed engine for OLAP. It assists in separating the data to be analyzed.
Data isolation is crucial to business customers. Which Apache Kylin is the most useful for a company?
A H O N B I N Kylin is an excellent tool for analysts due to its advanced middle layer explicitly designed for analysts in the business. Apache Kylin can help them to increase the speed of their queries. Analysts will increase their efficiency through the use of this technology.
J A S S ON: Yes, exactly. It first aids executives or business analysts who require data to make an informed decision. With Kylin, it is possible to get their data faster. The past was when they could receive a report in one or two weeks if the data were massive such as a million and a billion or 10 billion rows; however, using Apache Kylin, you can receive data concisely. The same queries that took several days, hours or even weeks to answer can be completed within seconds, thanks to Apache Kylin. We aim to increase efficiency across all businesses.
For those working in IT or an engineer in data, Kylin will also help them greatly as they won’t need to write as many scripts and can respond quickly to business demands. Kylin also assists managers and executives. The platform will help executives and managers with their data challenges and save them money both in time and the amount of time needed by employees to finish the job.
