Woah woah I know nothing about AWS Then why the heck did i totally totally understand this video It was crystal clear I usually don't subscribe to channel but this time it was not even a question 👍🏾 Man I wish you could teach me all about data engineer
@DataEngUncomplicated2 жыл бұрын
Thanks for the wonderful feedback! I'm glad the way I explained it was helpful. Thanks for subscribing! More AWS related content to come.
@cringe60062 жыл бұрын
@@DataEngUncomplicated thank you Eagerly waiting for more content 😁
@DataEngUncomplicated2 жыл бұрын
Thanks, I try to strike a balance with overview videos and technical tutorials on aws. Fun fact, I think you are my 5,000 subscriber!
@cringe60062 жыл бұрын
@@DataEngUncomplicated 👏🥳🎉🎊
@nandkarthik5 ай бұрын
You will just understand it. But will fail to answer any interview questions unless you use them. Theory is always easy to understand
@renzcarillo72773 жыл бұрын
As a self taught data engineering student, figuring out what services to start with aws is very hard - this indeed uncomplicates everything!
@DataEngUncomplicated3 жыл бұрын
Thank you for the kind words Renz! I'm glad it was helpful.
@francismagnusson3782 жыл бұрын
hey there, could you give a link to a resource for data engineering? im about to start a job in DE and im kinda intimidated with the various skills needed for the job. I already know Python and SQL (which is why i was hired, or so im told) but i know nothing about DE. im about to start this udemy course on Python, SQL, and Pyspark, but im afraid it might not be enough. any help would be appreciated, thanks!
@samb23692 Жыл бұрын
@@francismagnusson378 Hi, how did you proceed? How's your job going on?
@tamasensei55011 ай бұрын
This video is really great. As an ETL developer, I aspire to become a data engineer in the next few years. Your explanation is very clear!
@DataEngUncomplicated11 ай бұрын
Glad it was helpful!
@Omer69811 ай бұрын
Your channel is a god send. Data Engineering channels are rare on youtube and those that do exist are tailored towards Indian Students. Thank you for the content and you've got a new subscriber.
@DataEngUncomplicated11 ай бұрын
You're welcome! Thanks for subscribing!
@naraendrareddy273 Жыл бұрын
Hands down the number 1 video for beginner Data Engineers
@DataEngUncomplicated Жыл бұрын
Thanks for your kind words!
@rahulsrivastava97878 ай бұрын
The concepts in this video went inside my brain like a hot knife going in butter. Great video for someone like me who comes from a functional background. Great work...really appreciated.
@jihanzhang5527 Жыл бұрын
Great video. Something to add here: S3 Select can be used for quick and adhoc querying dealing with single S3 file. Athena can also work directly with S3 files if you just need some quick data understanding and investigation. EMR Serverless can address the headache for managing EMR cluster and in the meantime gives your more power for ML.
@anandch65392 ай бұрын
This is excellent video for a person, who has database background and who is wiling to enter into AWS side, this is something I was looking for. Wow, full appreciation from me. though it may look simple, but for me it was great - because it gave me the direction what to pick up me AWS, when there are 1000 services. Thanks A Lot.
@DataEngUncomplicated2 ай бұрын
Thanks for your kind words! I was hoping this video would be a good starting point for folks into data engineering and AWS!
@tiisetsomokhesi52062 жыл бұрын
I am starting as Data Engineer with a company that uses AWS ( I am from Azure background), this video has been really helpful with the architecture and services.
@DataEngUncomplicated2 жыл бұрын
Thanks Tiisetso! I'm glad this video was helpful. Thank you for leaving me a comment
@chriscrocker438 Жыл бұрын
I'm currently working on my AWS certification and will be referencing the diagram from this video often. Thanks for the clear and concise walk through of the context of each of these services!
@DataEngUncomplicated Жыл бұрын
You're welcome Chris, I'm glad it was helpful. Good luck on your AWS certification!
@obiebbw66302 жыл бұрын
As someone else commented. I'm learning to be a Data engineer and learning what each application is used for has been a struggle. I'm learning the Azure system, but seeing this visual helped. New sub.
@DataEngUncomplicated2 жыл бұрын
Thanks Obie! Much appreciated
@shreyaroraa22342 жыл бұрын
One of the best AWS explanation I saw so far
@DataEngUncomplicated2 жыл бұрын
Thanks Shrey, much appreciated!
@networkfreddy2000 Жыл бұрын
Quickly subscribed. Currently a AWS Cloud Engineer for a AI Company so I've been upskilling in Data Engineering . Planning to take the DEA-C01 exam. Great information and your presentation style is perfect!
@DataEngUncomplicated Жыл бұрын
Thanks so much for the kind words! I'm glad it was helpful. Good luck on the exam!
@go5562 жыл бұрын
It is so far the most helpful video I saw about aws services for DE. I hope there are more likewise. Thanks a lot for sharing!
@DataEngUncomplicated2 жыл бұрын
Thanks for the comment! Yes, new videos related to data engineering and AWS every week!
@LittleDetours2 жыл бұрын
Love your clarity on the topic. Subscribed! Can't wait to explore all your videos👀
@DataEngUncomplicated2 жыл бұрын
Thanks for the feedback and subscribing!
@RahulGupta-v6c Жыл бұрын
Thanks for creating this video. You explained the concepts very clearly.
@DataEngUncomplicated Жыл бұрын
You're welcome. I'm glad you found the video helpful
@victoriwuoha30812 жыл бұрын
@DataEng Uncomplicated. This has to be one of the best explanation of how I can use AWS for my data analytics engineering workloads. Thank you for the detailed summary of the various services.
@DataEngUncomplicated2 жыл бұрын
Thanks Victor, much appreciated!
@bartstough82017 ай бұрын
Still a great overview. Makes everything a lot clearer. Thank you.
@DataEngUncomplicated7 ай бұрын
Glad it was helpful!
@jasminew75733 жыл бұрын
Great video Adriano! It helped me understand all the AWS services better.
@DataEngUncomplicated3 жыл бұрын
Thank you! I'm glad the video was help.
@sushilamahato2 жыл бұрын
I found this video very useful as a learner. Thank you!
@DataEngUncomplicated2 жыл бұрын
Thanks Sushila, I'm glad you found it helpful!
@Ghillieye Жыл бұрын
Great overview and I think your method of slowly explaining the diagram section by section is brilliant! A follow up video of a real use case would be even better. Subbed!
@DataEngUncomplicated Жыл бұрын
Hi Adrian, Thanks for the feedback and subscribing! Can you elaborate on your suggestion? Are you thinking of an actual hands on tutorial or overview use case type video?
@sailpawar61642 жыл бұрын
i had watched so many other videos on same topic..this is the one i was looking for even though i didn't know what exactly i was looking for as everything was new
@DataEngUncomplicated2 жыл бұрын
Thanks sail! I'm glad it was what you were looking for. What were you searching for on KZbin exactly?
@sailpawar61642 жыл бұрын
@@DataEngUncomplicated i am familiar with hadoop environment..i wanted to know how to do all of it in aws..now i know! thanks
@eugenetapang22 күн бұрын
Super solid. Any chance for a 2025 updated version. You rock and love the flow and viz.
@mehmetkaya43302 жыл бұрын
Such a great video! Summarized basic AWS services for data engineering very nicely! One of the best! Thanks!
@DataEngUncomplicated2 жыл бұрын
Thank you very much!
@ricardolizano8851 Жыл бұрын
This is pure gold. Thanks!
@vibhavmishra20022 жыл бұрын
I am glad I found this video. Brilliant overview. cheers !!
@saiduluchintha37662 жыл бұрын
Excellent video.. the sequence you have covered this in is seamless. I am surely having this for quick reference.
@DataEngUncomplicated2 жыл бұрын
Thanks so much for your kind words Saidulu. I really appreciate it.
@SlimmDrea2 жыл бұрын
This was perfect! Exactly what I was looking for lol.
@DataEngUncomplicated2 жыл бұрын
Thanks Andraya!
@Blissful_Echoes-f6t8 ай бұрын
Thank u so much. Your tutorial helps me a lot.
@senthilsds3 жыл бұрын
I am looking for hands on experience. This video helps me understand concepts better
@DataEngUncomplicated3 жыл бұрын
Thanks Senthil, I'm glad it was helpful.
@blockchainstreet7 ай бұрын
Amazing Man!! Good one
@DataEngUncomplicated7 ай бұрын
Thanks!
@RepentBritain Жыл бұрын
You sir, are the main man. Thank you.
@DataEngUncomplicated Жыл бұрын
Haha. You're welcome!
4 ай бұрын
Great video, thanks!
@DataEngUncomplicated4 ай бұрын
Thank you!
@BeABetterDev2 жыл бұрын
Amazing Video!
@DataEngUncomplicated2 жыл бұрын
Thanks Dan!
@saquib5133 жыл бұрын
This is such a great video. Any chance you will be doing a full fldge video on implementing these tools together? And I love your teaching style, I would love to know if you offer any courses that I can take.
@DataEngUncomplicated3 жыл бұрын
Hi Nazz, thank you for your kind words! Yes I plan on making a playlist that has technical tutorials on implementing each component so if you subscribe to my channel, you will get notified when those videos are released! Unfortunately I don't offer any courses at this time, I'm just focusing on making KZbin videos to help data engineers on AWS!
@cludianobre Жыл бұрын
fantastic video. Thanks for this.
@nikeating2 жыл бұрын
Great video. Super well summarised
@DataEngUncomplicated2 жыл бұрын
Thanks Nic!
@pankajjagdale2005 Жыл бұрын
Great Video..!! AWS App flow is missing........... Thank you
@DataEngUncomplicated Жыл бұрын
Great point, I know this service is being used more recently
@rembautimes88084 ай бұрын
A great video to link up all the AWS components. I guess AWS likes open source 😂
@clovisfilho932 жыл бұрын
Great video!! Thanks for sharing, it really help me to better understand AWS tools
@DataEngUncomplicated2 жыл бұрын
You're welcome. I'm glad it was helpful!
@oluwatobitobias2 жыл бұрын
God bless the works of your hand....great job
@DataEngUncomplicated2 жыл бұрын
Thank you Oluwatobi!
@nareshs77102 жыл бұрын
simply well articulated
@mikitaarabei6 ай бұрын
Thanks for the content
@rofu372 жыл бұрын
Channel name checks out
@ajprasad68659 ай бұрын
Clear and concise
@kennedysigauke953 Жыл бұрын
Very informative, thanks!
@melimesesan5786 Жыл бұрын
Awesome job!
@sjvr16285 ай бұрын
Great can you do a complete end to end AWS coding using etl, analytics videos
@jamespaz4333 Жыл бұрын
Wowww excellent video. Thank you very much. Is there any course that you could recommend to learn these specific tools?
@309-baby72 жыл бұрын
great introduction to these services. is there a specific data integration service to get data from salesforce (cRM) source?
@DataEngUncomplicated2 жыл бұрын
AWS glue appears to have salesforce connectors so that would be an option. I'm sure you could do it in lambda functions as well if your data is small enough as well
@jwtsfj2 жыл бұрын
You are a legend sir
@DataEngUncomplicated2 жыл бұрын
Thanks for your kind words John!
@samb23692 Жыл бұрын
Hi, Great video. Can you give suggestions on how to start learning these services?
@DataEngUncomplicated Жыл бұрын
Sure, I can provide some suggestions on how to start learning AWS services: 1. Start with the AWS Free Tier: AWS offers a free tier for many of its services, which allows you to explore and experiment with them without incurring any charges. This is a great way to get started and familiarize yourself with the AWS platform. 2.Take online courses and tutorials: AWS provides a wealth of resources for learning, including online courses, tutorials, and documentation. You can start with the AWS Training and Certification website, which provides a range of free and paid courses on various AWS services. 3. Join AWS user groups and forums: Joining user groups and forums can be a great way to learn from other AWS users and get answers to your questions. AWS provides an official forum, as well as many user groups around the world. 4. Practice with real-world scenarios: Once you have a basic understanding of AWS services, try to apply what you have learned to real-world scenarios. This will help you understand how the services work together and how they can be used to solve real-world problems. 5. Get certified: AWS offers a range of certifications for different roles and levels of expertise. Getting certified can be a great way to demonstrate your skills and knowledge to potential employers.
@DaveThomson10 ай бұрын
Question: If you are pulling data from external API's would you use Glue to do this or would you use something else to get this infromation and store it in S3 first and then use glue to trasform the data in s3?
@DataEngUncomplicated10 ай бұрын
Great question Dave! I would recommend using lambda functions to ingest the data in S3. Glue is for processing large amounts of data and has a bit of a start up time. You will probably want a lambda function pulling data from your API frequently so the data load size would probably be relatively low.
@DaveThomson10 ай бұрын
Thanks, thats direction I went. I have a meta lambda, a datasource lambda (1 for each data source) and a s3 upload lambda. Using step functions. This way the meta lambda gets the customer infromation required, spawns parallel datasource lambdas which all pass data to s3 upload lambdas. My only concern is how to best structure it in s3 for Glue. End goal here is Athena / Quicksite for BI purposes. I looked at AppFlow for some of this but hated it since I couldn't get all the object at one time and had to build an object per flow. So if a single data source has a lot of objects thats a lot of flows which seems annoying.
@DaveThomson10 ай бұрын
@@DataEngUncomplicated Thanks. I went with step fucntions. A master function that gets customer meta data and spawns functions for different datasources that all end up calling a s3 upload function. Now my only concern is am I storing the data properly in s3 for glue to make use of. Something like # Format the file name based on the current date and data type file_name = f"{data_type}_{year}-{month}-{day}.json" # Update the S3 key (path) to use the 'year=YYYY/month=MM/day=DD' partitioning convention s3_key = f"{customer_id}/year={year}/month={month}/day={day}/{data_type}/{file_name}"
@DataEngUncomplicated9 ай бұрын
@@DaveThomson I hope you figured this structure out by now, but if you want to use athena, you need to have your datasets seperated into different objects (folders) in S3. I would add a partitioning strategy as well which will save you in query costs if you know how your data will be queried.
@DaveThomson9 ай бұрын
@@DataEngUncomplicated Thanks!
@ravivarma89882 жыл бұрын
It works! Thanks a lot.
@sandeepsingavarapu38392 жыл бұрын
Very informative video, Thank you. I am trying to learn Data engineering and trying to do some real world projects. Could you create few videos for End to End data engineering projects with and also some real world projects/ideas to try.
@DataEngUncomplicated2 жыл бұрын
Hi Sandeep, yes, this is high on my video list! Thanks for the suggestion!
@helovesdata8483 Жыл бұрын
I'm preparing for an data engineer interview. The company is looking for someone good at creating pipelines in aws. I'm going to use your videos. I read so many different definition for "ingestion". Ingestion comes right after extraction in the ETL process, right.
@DataEngUncomplicated Жыл бұрын
Thanks! Glad the videos are helpful. I hope your interview went well!
@endpermia Жыл бұрын
Thank you so much for this video! I have an interview tomorrow and this boosted my understanding and confidence. Great explanations!
@DataEngUncomplicated Жыл бұрын
Thanks, Best of luck with your interview!
@Radical4Christo2 жыл бұрын
Interesting! Great job but the author di not speak on Security. I think we need security too.
@DataEngUncomplicated2 жыл бұрын
Thanks Dan, you are right, I left out security. I would throw up KMS in the security section if individuals wanted to encrypt their data with kms keys
@mercantilism9542 жыл бұрын
Thank you for the great video. I have one question. Wouldn't it be very costly to use all of the AWS services? I store lots of data in S3 and it costs $100-150 a month.
@DataEngUncomplicated2 жыл бұрын
Hi, it all depends on your use case for your data and access patterns. For example although you have 10 TB of data, it doesn't mean you are querying all 10 TB in every query and rather only doing queries on subsets of your data.
@sergiojulio3 жыл бұрын
Great video thanks
@DataEngUncomplicated3 жыл бұрын
You're welcome Sergio, thanks for leaving a comment.
@mwaqze2 жыл бұрын
Hi there, thanks for such a wonderful explanation of a complex topic. Can you share the diagram picture through a link please?
@DanielKurniadi-d5c Жыл бұрын
Why there is an arrow from AWS Glue Catalog to the Data warehouse (Red Shift)?
@DataEngUncomplicated Жыл бұрын
Glue catalog works on databases as well as data lakes so you can define your redshift datasets in AWS glue to keep track of them
@gabrieljeca3 жыл бұрын
Good content! But how about AWS Managed Workflows for Apache Airflow for orchestration? Wouldn’t it be better to orchestrate lambdas and glue jobs with MWAA?
@DataEngUncomplicated3 жыл бұрын
Hi Gabriel, thank you! Yea this is a great point, this could have been a service added to the orchestration component of the diagram. It's a good option but I don't think it's "better "necessarily since you it's another server you have to pay for the server to keep running 24/7 vs step functions and glue orchestration are serverless and only pay per x # of invocations.
@gabrieljeca3 жыл бұрын
@@DataEngUncomplicated Thanks for the answer and the great insight there. I guess going serveless is always the best option. But execution logs of both from glue orchestration and step functions are accessible in cloud trail?
@DataEngUncomplicated3 жыл бұрын
The logs for glue and step functions are actually accessible in cloud watch logs.
@Bill0102 Жыл бұрын
Your work is truly impressive; it reminds me of a book I read that had a similar impact. "AWS Unleashed: Mastering Amazon Web Services for Software Engineers" by Harrison Quill
@gilang61288 ай бұрын
love this
@groundingtiming Жыл бұрын
wow this is awesome!
@demohub2 жыл бұрын
Thanks for sharing
@DataEngUncomplicated2 жыл бұрын
You're welcome!
@josecarlossantos7673 Жыл бұрын
What's the alternative to load data from curated zone to Redshit and Athena. Lambda + Glue or it isn't necessary?
@DataEngUncomplicated Жыл бұрын
When you say alternatives, do you mean AWS native alternatives? AWS announced an auto load feature from s3 to redshift I guess assuming that the schemas are the same.
@josecarlossantos7673 Жыл бұрын
@@DataEngUncomplicated Yes. For example: lambda and EMR before curated layer and after from curated to redshift and Athena do you recommend any aws service to load the data?
@manusingh22606 ай бұрын
thanks man
@DataEngUncomplicated6 ай бұрын
You're welcome!
@helovesdata84832 жыл бұрын
If we clean the data after loading it into S3, this would be ELT right?
@DataEngUncomplicated2 жыл бұрын
Yea you got it!
@andrewting30812 жыл бұрын
Bruh, thank you SO MUCH!
@DataEngUncomplicated2 жыл бұрын
Thanks Andrew!
@Larry2192411 ай бұрын
This is pure perfection. I read a book with similar content, and it was pure perfection. "Mastering AWS: A Software Engineers Guide" by Nathan Vale
@DataEngUncomplicated11 ай бұрын
Thanks Larry!
@na3naa_r Жыл бұрын
I have one doubt. Can we host multiple kafka producers in one ec2 instance?
@DataEngUncomplicated Жыл бұрын
Are you talking about using Amazon Managed Streaming for Apache Kafka?
@na3naa_r Жыл бұрын
@@DataEngUncomplicated yes!
@techtransform2 жыл бұрын
You are awesome
@suleimanumar258 Жыл бұрын
Can you do the same but for Azure services?
@DataEngUncomplicated Жыл бұрын
Hi Suleiman, sorry I'm not as familiar with Azure services. AWS is what I am currently focus on.
@makhus8337 Жыл бұрын
can you do entire project for this?
@DataEngUncomplicated Жыл бұрын
Yes, I have done projects using most of these services in the past.
@Draco-pu4ro2 жыл бұрын
Hi, What Services should I use if I have a source which sends CSV files and the schema changes every week? The column names are different and new columns were added each time. Ideally need to expose the data from these files into tables. Any suggestions as to which services should I use?
@DataEngUncomplicated2 жыл бұрын
Hi Draco, It sounds like using the glue catalog would be a good choice to register your data in as it handles drifting schema. You can use a crawler to automatically scan and identify the changes in the schema
@jamisonlewis4884 Жыл бұрын
Very well done! Don't forget the importance of data lineage though. Big time clients always want the capability to visually track data lineage.
@DataEngUncomplicated Жыл бұрын
Thanks Jamison! Yes! This is important but there isn't a dedicated data lineage or governance service released yet in aws...datazone was announced at reinvent which should fill this gap hopefully
@iamdare2 жыл бұрын
thanks for this. do you have a course on Udemy on Data Engineering?
@DataEngUncomplicated2 жыл бұрын
Thanks Dare, Unfortunately i don't yet
@rememberthename911g2 жыл бұрын
How would I encorparate AWS into my project if I am using a websites API as the source of my data?
@rememberthename911g2 жыл бұрын
Its not much data. A max of a couple hundred lines but I still want to be able to show an employer I can use different services
@DataEngUncomplicated2 жыл бұрын
I think your asking how to ingest data from an api into aws? There are many ways to do this but for your purpose you can write a lambda function that uses the requests library to read data from the API and use the python library aws data wrangler to write the data to s3.
@rememberthename911g2 жыл бұрын
@@DataEngUncomplicated Thats exactly what I was asking, thanks. Can you make sure this sounds correct though? 1. AWS lambda to ingest data from API call and write that data to an s3 bucket 2. Read data from s3 using Python notebook file (that is using PySpark package) or read data from s3 using AWS EMR
@DataEngUncomplicated2 жыл бұрын
@@rememberthename911g yup this works, you might want to define your data source in a glue catalog table so it will be more easily ingested into a glue job or pyspark job.
@hunnidkray534 Жыл бұрын
Is there a pdf file to print out the diagrams
@DataEngUncomplicated11 ай бұрын
No sorry, unfortunately I don't have one.
@BenOgorek2 жыл бұрын
Great video! 2 questions: 1) Any reason you didn’t mention DMS? 2) What services help you out with database changes (deltas)?
@DataEngUncomplicated2 жыл бұрын
Hey Ben, good call out on DMS. DMS is a good service for data engineers to learn if their focus is on data migration. For database changes, I have used both aws glue or lambda functions depending on the size of the data and building the delta logic in python.
@playingneutral2 жыл бұрын
aws is a not a career but just a cloud platform right? where we can put our skills and start working in cloud based environment right or not? pls clear me out that if i just directly with a non tech or no data anylytics background persue data analytics certification of aws but prepare through the learning material provided by aws and also hands on practice would i get the job easily? or i need to specialize all the 200 services? and also other python etc pls guide pls not getting answer to this anywhere
@DataEngUncomplicated2 жыл бұрын
Hello, these are good questions that lots of people starting with AWS might have! Yes, AWS is just a cloud platform. I would say you should still have the foundational data analytics skillset in order to he succesful. You definitely don't need to specialize in 200 services to get a job. I would focus on learning the services that are relevant for a particular role. Nobody knows every single AWS service there is just too many. For your question about is AWS certification enough to get a job, it all depends on the role, the employer and what they are looking for. I would say it can't hurt your chances of getting a job if you are looking for a role that involves AWS.
@princekhunt13 ай бұрын
please for data scientist
@DaveThomson9 ай бұрын
Do you do any consulting?
@DataEngUncomplicated9 ай бұрын
Hey David, I'm actually a full-time AWS D&A consultant for a company that is an AWS partner. Let me know if you want to chat.
@DaveThomson9 ай бұрын
@@DataEngUncomplicated I would like to chat. I too work full time for a partner.
@DataEngUncomplicated9 ай бұрын
@@DaveThomson Great, feel free to contact me through the email I have posted on my channel.
@DaveThomson9 ай бұрын
@@DataEngUncomplicated sent you an email.
@chandrabhatt2 жыл бұрын
Subscribed
@EthanDeng2 жыл бұрын
Use AWS Batch to Batch Data Ingestion
@anoopkumar214210 ай бұрын
hopefully zero ETL is going to change a major chunk of dependencies when managing the data within the aws ecosystem.
@Naveen-hk3yh Жыл бұрын
Great video I working as AWS data engineer from past two years overall experience is 11 years. Could you recommend what certification I have to do as data engineer confused as different types of AWS certification exists
@DataEngUncomplicated Жыл бұрын
Hi Naveen! yea it is confusing because there isn't really a specific data engineering certification. The Developer associate and the AWS Data Analytics Specialty are the best one. I would also go after the database specialty if you think you will be working a lot with databases
@hamalishah Жыл бұрын
interesting
@surendhirankrishnamoorthy668911 ай бұрын
As the channel name says you're making things uncomplicated. 🎉😅
@jay_wright_thats_right3 ай бұрын
PRO cess. LMAO
@DataEngUncomplicated2 ай бұрын
you know it's funny...I didn't even realize I say that :D
@nj65532 жыл бұрын
Millions or billions...
@DataEngUncomplicated2 жыл бұрын
I have no context to what this means but I'm going to respond with we can process millions or billions of records in data engineer with AWS 😉
@KishoreReddy-c3v Жыл бұрын
Hi sir currently am learning sql and python I should start learning Big data am not knowing the proper way to start the way you were telling was so good so I felt like asking it will be really grateful if you please help me through this how can I contact you sir
@DataEngUncomplicated Жыл бұрын
Hello I know there are a lot of concepts and technologies to learn! you can reach me at dataenguncomplicated@gmail.com