Have you ever heard about Big Data? Technologies such as HDFS, MapReduce, Spark? Always wanted to learn these new tools but missed concise starting material? Don't miss this specialization either!
The specializaiton contains 3 courses out of 5 on BigData Team educational platform. Subscribe and we will notify you about updates!
The specializaiton contains 3 courses out of 5 on BigData Team educational platform. Subscribe and we will notify you about updates!
Big Data for Data Engineers
always available
online at study.bigdatateam.org
About Specialization
There are five concise courses teaching you from basics of MapReduce and offline processing to the advances in real-time processing with applications in big scale machine learning.
If you are looking for the ways to expand your knowledge in the field of data engineering / analysis on the big scale, then this specialization is just right up your street.
If you are looking for the ways to expand your knowledge in the field of data engineering / analysis on the big scale, then this specialization is just right up your street.
There are five concise courses teaching you from basics of MapReduce and offline processing to the advances in real-time processing with applications in big scale machine learning.
If you are looking for the ways to expand your knowledge in the field of data engineering / analysis on the big scale, then this specialization is just right up your street.
If you are looking for the ways to expand your knowledge in the field of data engineering / analysis on the big scale, then this specialization is just right up your street.
More than 100,000 learners worldwide already joined the specialization:
Benefits
- Real Dev EnvironmentIn comparison to existing online courses we would like to provide listeners with access to real computational cluster to expand their skills and knowledge.
- All-Round TeamBig data evolves so fast, that nobody can move with the same speed. Nobody can know everything about Big Data. For this reason we put together our big and all-round team. All together we can explain everything.
- All-in-browser SandboxAll-in-browser sandbox configuration for the best Big Data learning experience. You could study Big Data from any device with an Internet connection. Be it Windows, Linux, Mac OS, mobile or tablet device.
Benefits
- Real Dev EnvironmentIn comparison to existing online courses we would like to provide listeners with access to real computational cluster to expand their skills and knowledge.
- All-Round TeamBig data evolves so fast, that nobody can move with the same speed. Nobody can know everything about Big Data. For this reason we put together our big and all-round team. All together we can explain everything.
- All-in-browser SandboxAll-in-browser sandbox configuration for the best Big Data learning experience. You could study Big Data from any device with an Internet connection. Be it Windows, Linux, Mac OS, mobile or tablet device.
Courses
Online
You have heard so much about HDFS, MapReduce, Spark and always wanted become familiar with these knew tools? Spot the opportunity to grasp the concise starting material. Why taking this course? Big Data Essentials: HDFS, MapReduce and Spark RDD
Online
Working with huge data volumes is hard, but to move a mountain, you have to deal with a lot of small stones. So, why strain yourself? Leave this job to Mapreduce and Spark and don't forget about high-level tools we're offering you.
Online
Rapidly changing environment sets new rules and requires new knowledge. In order to be in the forefront you have to upgrade your skills regularly. Machine learning is an essential part of the knowledge that helps to maintain cornerstone in the contemporary world – data.
Online
Real-Time Big Data Processing
The question of freshness is the thorniest in the data world. Miss the beat forecasting traffic jams and you get nothing but angry customers. The price for the same delay predicting tsunami is even higher - people's lives.
Online
Capstone Project:
Big Data Services
Big Data Services
Are you ready to close the loop on your Big Data skills and apply all the knowledge you got from the previous courses in the practice? Capstone project is the answer to your questions.
Meet our team
- Alexey DralHead of BigData SpecializationCEO at BigData Team
(ex. Amazon AWS, Yandex, Rambler, Sberbank) - Emeli DralLecturerChief Technical Officer,
Evidently AI (ex. Chief Data Scientist, Mechanica AI,
ex. head of Big Data Department at Yandex Data Factory, Rambler) - Pavel MezentsevLecturerSenior Data Scientist at PulsePoint (ex. Rambler)
- Anton GorokhovCourse DesignerPhD, Senior SDE at Yandex (ex. Rambler)
- Natasha PritykovskayaLecturerSoftware Developer at Odnoklassniki (Mail.ru)
(ex. Yandex) - Pavel KlemenovLecturerHead of Machine Learning department at NVIDIA,
Founder of Moscow Spark - Ilya TrofimovLecturerHead of Research Team at Yandex
- Ivan PuzyrevskiyLecturerTeam Lead of Software Development Team at Yandex
- Evegeniy RyabenkoGuest SpeakerSenior Data Scientist,
Veon - Evgeny FrolovGuest SpeakerPhD, Skoltech
- Vladimir LesnichenkoGuest SpeakerR&D team lead,
Iponwe - Oleg SuhoroslovCourse DesignerPhD, Senior Researcher at Russian Academy of Sciences (RAS)
(ex. expert at Yandex) - Pavel AkhtyamovCourse DesignerTeaching Assistant at ATP dept., MIPT Developer-Analyst at VicMan
- Oleg IvchenkoCourse DesignerTeaching assistant at ATP dept., MIPT, PhD student
- Vladimir KuznetsovCourse DesignerAssistant at P.G. Demidov Yaroslavl State University,
Senior SDE at Confirmit - Asya RoitbergProducer Assistant
- Prof.Mikhail RoytbergHead of APT department at MIPTLaboratory of Applied Mathematics, Institute of Mathematical Problems in Biology - branch of Keldysh Applied Mathematics Institute, Departament of Algorithms and Programming Technologies, MIPT
- Marina SudarikovaProducer Assistant
- Evgene BaulinManagerTeaching Assistant at ATP dept., MIPT
- Artyom VybornovBig Data InstructorHead of Data products SberAds
Our students' reviews
I did 1 year of big data in my old company but I didn't get chance to deep dive into it. Since then I have been trying to do more big data and trying to get into big data career. But because I don't have much experience I haven't got chance to get into it. I think this course is perfect. This course will give me overview of things that I couldn't get into before. It will also prove my future employer that I am passionate about big data and give me a chance. :)
I had no prior experience in Data Engineering, but I found the field really amusing and challenging for me. This specialization seemed to be the most appealing among the ones I searched, so I decided to attend it.
There are so many Big Data technologies and concepts that I believe that exploring them by myself would be really hard and probably way more time consuming. In this specialization I learned the basics, the internals and optimization of Big Data technologies. I do believe that having this deeper understanding is key to excel in this field. Besides the theoretical concepts, there are really interesting practical exercises evaluated in a real cluster. The specialization has entire weeks dedicated for practical exercises. Some of them could solve real world problems, so encourage you to solve them all.
Given my enthusiasm and helpfulness with others doubts, I had the pleasure of being part of a great mentors team. The staff is really helpful with us and they care about our feedback.
I am working as a Backend Engineer, but I'm soon entering a company as a Data Engineer. I do feel that I could not enter to a role in the field on this time span without this specialization.
I do not want to say that this is the right path, but I'd definitely take it again.
There are so many Big Data technologies and concepts that I believe that exploring them by myself would be really hard and probably way more time consuming. In this specialization I learned the basics, the internals and optimization of Big Data technologies. I do believe that having this deeper understanding is key to excel in this field. Besides the theoretical concepts, there are really interesting practical exercises evaluated in a real cluster. The specialization has entire weeks dedicated for practical exercises. Some of them could solve real world problems, so encourage you to solve them all.
Given my enthusiasm and helpfulness with others doubts, I had the pleasure of being part of a great mentors team. The staff is really helpful with us and they care about our feedback.
I am working as a Backend Engineer, but I'm soon entering a company as a Data Engineer. I do feel that I could not enter to a role in the field on this time span without this specialization.
I do not want to say that this is the right path, but I'd definitely take it again.
Our students' reviews
I did 1 year of big data in my old company but I didn't get chance to deep dive into it. Since then I have been trying to do more big data and trying to get into big data career. But because I don't have much experience I haven't got chance to get into it. I think this course is perfect. This course will give me overview of things that I couldn't get into before. It will also prove my future employer that I am passionate about big data and give me a chance. :)
I had no prior experience in Data Engineering, but I found the field really amusing and challenging for me. This specialization seemed to be the most appealing among the ones I searched, so I decided to attend it.
There are so many Big Data technologies and concepts that I believe that exploring them by myself would be really hard and probably way more time consuming. In this specialization I learned the basics, the internals and optimization of Big Data technologies. I do believe that having this deeper understanding is key to excel in this field. Besides the theoretical concepts, there are really interesting practical exercises evaluated in a real cluster. The specialization has entire weeks dedicated for practical exercises. Some of them could solve real world problems, so encourage you to solve them all.
Given my enthusiasm and helpfulness with others doubts, I had the pleasure of being part of a great mentors team. The staff is really helpful with us and they care about our feedback.
I am working as a Backend Engineer, but I'm soon entering a company as a Data Engineer. I do feel that I could not enter to a role in the field on this time span without this specialization.
I do not want to say that this is the right path, but I'd definitely take it again.
There are so many Big Data technologies and concepts that I believe that exploring them by myself would be really hard and probably way more time consuming. In this specialization I learned the basics, the internals and optimization of Big Data technologies. I do believe that having this deeper understanding is key to excel in this field. Besides the theoretical concepts, there are really interesting practical exercises evaluated in a real cluster. The specialization has entire weeks dedicated for practical exercises. Some of them could solve real world problems, so encourage you to solve them all.
Given my enthusiasm and helpfulness with others doubts, I had the pleasure of being part of a great mentors team. The staff is really helpful with us and they care about our feedback.
I am working as a Backend Engineer, but I'm soon entering a company as a Data Engineer. I do feel that I could not enter to a role in the field on this time span without this specialization.
I do not want to say that this is the right path, but I'd definitely take it again.
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