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DataCouch is a globally recognized leader in IT consultancy, upskilling, virtual labs, and managed professional services, serving a diverse clientele including Fortune 500 companies like Adobe, Apple, PayPal, Confluent, Starbucks, and Google. With a strong presence in India, Canada, and Malaysia, we leverage our extensive expertise to deliver world-class services.

Our team of top-tier instructors and consultants are pioneers in emerging technologies, specializing in Generative AI, Machine Learning, Data Engineering, and DevOps. As a preferred partner for industry giants such as Confluent, Brinqa, Snowflake, Onehouse, Neo4j, and PayPal, we provide unparalleled technology training and consultancy through our global delivery model and unique Virtual Lab Solution.

We have transformed the careers of over 150K professionals across 20+ countries. Our dedication to innovation, collaboration, and excellence equips our clients with the latest advancements, maintaining a competitive edge.

Governance in GenAI Landscape | Gen AI
54:00
Месяц назад
Prompt Engineering Essentials | Part 1
1:06:03
8 месяцев назад
Ways to Perform AI/ML Part 2
3:15
Год назад
Ways to Perform AI/ML Part 1
4:54
Год назад
Deep Learning
3:32
Год назад
Demo Google Vision API
3:30
Год назад
ML in an Intuitive way
6:02
Год назад
Supervised Machine Learning
2:24
Год назад
Unsupervised Machine Learning
5:53
Год назад
Reinforcement learning
1:00
Год назад
Data Science Process
4:59
Год назад
Who is a Data Scientist?
5:34
Год назад
AI & Data Science
5:34
Год назад
Algo vs Model
1:46
Год назад
AI Use Cases Demo
6:24
Год назад
AI Use Cases
5:28
Год назад
Taxonomy of AI Part 3
1:29
Год назад
Taxonomy of AI Part 2
3:53
Год назад
Taxonomy of AI Part 1
4:31
Год назад
Комментарии
@kushalbaldev8490
@kushalbaldev8490 4 дня назад
The best 20 minutes of Kafka
@PokemonParadise2010
@PokemonParadise2010 15 дней назад
Thank you very much for this video sir. Can you also make video for AWS Technical Solutions Architect - Associate; and AWS - Machine Learning Associate certificate programs?
@sushantmeshram5172
@sushantmeshram5172 19 дней назад
Very informative video
@NandanIITM
@NandanIITM Месяц назад
Your tutorials are good but not organized in playlists
@RykerSchenck
@RykerSchenck Месяц назад
Great Video, Thanks for sharing.
@m0d9tkh8t7n
@m0d9tkh8t7n 2 месяца назад
A great and informative session on GenAi
@BUY_YT_Views_575
@BUY_YT_Views_575 2 месяца назад
You're a true inspiration for aspiring creators.
@poojatripathi5211
@poojatripathi5211 3 месяца назад
Nicely explained!!
@girireddy9173
@girireddy9173 5 месяцев назад
Nice video thanks for updating
@where_2_next
@where_2_next 5 месяцев назад
Informative video thanks
@amankhandelwal8293
@amankhandelwal8293 5 месяцев назад
i will be installing confluent kafka using the method you told. will I be able to connect my spark job with my kafka topic that i created on the confluent cloud?
@mohammadhaque1873
@mohammadhaque1873 6 месяцев назад
Best tutorial ever on impala architecture. Thank you.
@VishalThakur-wo1vx
@VishalThakur-wo1vx 6 месяцев назад
Good video . But a little explanation around why Kappa architecture is not silver bullet for all use cases would have helped.
@azwan1992
@azwan1992 7 месяцев назад
Excellent. Subscribed.
@jimmiedaugherty
@jimmiedaugherty 8 месяцев назад
"Promo SM"
@adnanraza111
@adnanraza111 8 месяцев назад
Excellent video, specially the last part clarifying when to use hive and when to use impala...
@prestonmccauley43
@prestonmccauley43 9 месяцев назад
Clear, easy to follow, and even the example of jupyter was clear.
@SiddheshPrabhugaonkar
@SiddheshPrabhugaonkar 9 месяцев назад
Many congratulations for the recognitions. and thank you for this informative webinar
@nithishkrishnans5350
@nithishkrishnans5350 9 месяцев назад
Hi, In all your video you are using the local service start like dev mode. I just want to know how to start all cluster for Prod environment. Can you please help me on this?
@arnabkgcoin
@arnabkgcoin 9 месяцев назад
Very good explanation!
@SantoshKumar-yr2md
@SantoshKumar-yr2md 9 месяцев назад
If I want to pursue Gen AI, what prerequisites require to learn, I am Manager in Healthcare and want to add Gen AI in my profile, I know SQL intermediate level but not having extensive knowledge in programming or coding stuff
@NeoStudy7
@NeoStudy7 9 месяцев назад
thanks bro
@ramakambhampati5094
@ramakambhampati5094 10 месяцев назад
Fantastic info. Thanks
@akhil123456000
@akhil123456000 10 месяцев назад
I was looking for a detailed comparison in the web and I am glad I found this channel, very informative and detailed.
@DancingWithData
@DancingWithData 11 месяцев назад
This was a great video. Thank you very much!
@DataCouch
@DataCouch 11 месяцев назад
Glad you enjoyed it!
@abdelrahimahmad7801
@abdelrahimahmad7801 11 месяцев назад
Hi, Thanks for the video. However, most of these points are not limitations as Nifi is specified for a specific data processing task. Cheers!
@ananthpai5563
@ananthpai5563 Год назад
Can you make a video on installation of Impala and querying hdfs data in pure Hadoop environment on Redhat OS?
@gustavomartin2
@gustavomartin2 Год назад
excellent explanation thanks
@DataCouch
@DataCouch 11 месяцев назад
You are welcome!
@akshayaghade284
@akshayaghade284 Год назад
bro facing issue middle of installation cd opt/anaconda3 showing this error no file or directory
@inspired_enough_to_grow_up
@inspired_enough_to_grow_up Год назад
can we please have more such sessions?
@nadranaj
@nadranaj Год назад
Excellent explanation
@prasanna9123
@prasanna9123 Год назад
I have a doubt like when ever a producer produces a message/event it goes to the leader partition. At the same time if we also consider the partitioning i.e., hash partitioning, then that particular partition should be the leader partition. Based on the partitioning, that particular partition will be made as a leader partition? Or my understanding is wrong. Can you please revert me back.
@anonymous_devil3730
@anonymous_devil3730 Год назад
First you said zokeeper does the election and then you said one the broker who is the contoller does the election of who should become next leader, right? Isn't this contradicting? Do you have a very in depth like advanced of the advanved video explaining kafka ..so that we can work as a kafka emgineer in production and not in college projects?? Also please clarify the above contradiction. Thanks.
@dharmeshajudiya1709
@dharmeshajudiya1709 Год назад
Details exaplanation, thank for the sharing
@bhavypratap2844
@bhavypratap2844 Год назад
Sir I have started studying Deep Learning, but I didn't get the significance of the kernel. Can u briefly explain. Thank you.
@DataCouch
@DataCouch Год назад
Hi @bhavypratap2844 In deep learning, the term "kernel" refers to a fundamental concept in mathematical operations performed on data. Let's say you have a bunch of numbers, and you want to perform some calculations on them. The kernel is like a small mathematical function or operation that you apply to each number in your data.
@sergefedorow8430
@sergefedorow8430 Год назад
NiFi has SQL processors. What do you mean under "No SQL interface in NiFi"?
@DataCouch
@DataCouch Год назад
Actually, NiFi does not have native SQL processors. When we mentioned "No SQL interface in NiFi," then we were referring to the fact that NiFi does not provide built-in processors specifically designed for working with SQL databases or executing SQL queries. Instead, NiFi primarily focuses on data flow management, transformation, and routing across various systems and formats. However, it's worth noting that NiFi can interact with SQL databases indirectly by utilizing processors like ExecuteScript or ExecuteStreamCommand to execute custom scripts or external commands that interact with SQL databases.
@tech-n-data
@tech-n-data Год назад
Perfect little learning nugget.
@IamMQaisar
@IamMQaisar 5 месяцев назад
exactly ! 💯
@nitinagarwal3574
@nitinagarwal3574 Год назад
Airline example does not make sense, check in can be a lookup on batch layer how it does not define the streaming data exactly.
@DataCouch
@DataCouch Год назад
Hi Nitin, Thanks for your comment. We appreciate your feedback. You're right, check-in data can be a lookup on the batch layer. However, there are some cases where it makes sense to have it in the streaming layer. For example, if you want to provide real-time recommendations to passengers based on their recent check-in activity, then you'll need to have that data in the streaming layer. In our video, we were trying to provide a general overview of the Lambda Architecture. We didn't go into all of the possible use cases, but we wanted to give you a good starting point. If you have any other questions about the Lambda Architecture, please feel free to ask.
@satyarfid
@satyarfid Год назад
Excellent session for the beginners .Thank you
@JawwadHanif
@JawwadHanif Год назад
Thank you so much for such a great content 😊
@user-jp9pv4cl6o
@user-jp9pv4cl6o Год назад
Nice explanation good
@Dutchkickz
@Dutchkickz Год назад
REALM will be big! Search realm and Hovr
@user-jp9pv4cl6o
@user-jp9pv4cl6o Год назад
nice explanation
@004-andhaleaniketajit4
@004-andhaleaniketajit4 Год назад
helpful
@shoibsiddiqui6954
@shoibsiddiqui6954 Год назад
Share your contact
@DataCouch
@DataCouch Год назад
Hi, you can reach out to us at support@datacouch.io
@anantababa
@anantababa Год назад
Do you have any class with kafka with avro using scala?
@DataCouch
@DataCouch Год назад
Hi Prakash, We offer standard courses of confluent. Here is the link to the developer course: drive.google.com/file/d/18L0xHVcr0LrN_kZqIhRIzhMlC2nfL5CZ/view?usp=sharing It has code in Java/Python/C#
@kongyoutube
@kongyoutube Год назад
nice one, thank you
@saikrishna-bq8bc
@saikrishna-bq8bc Год назад
Great!!!! Clear cut explanantion
@DataCouch
@DataCouch Год назад
Glad you liked it
@vt1454
@vt1454 Год назад
Good summary of differences