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saikatharryc/datalake-warehouse-design.md

Last active February 13, 2025 21:18
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Data-lake <> warehouse design possiblity
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datalake-warehouse-design.md 
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<!-- 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snappy)</text></g><g stroke-linecap="round"><g transform="translate(1341.75047374907 676.3505147298176) rotate(0 37.95723470052076 -0.2892964680989678)"><path d="M-0.01 0.05 C12.57 0.05, 62.45 0.61, 74.91 0.39 M-1.48 -0.97 C11.52 -1.33, 64.01 -1.34, 77.09 -1.23" stroke="#1e1e1e" stroke-width="2" fill="none"></path></g><g transform="translate(1341.75047374907 676.3505147298176) rotate(0 37.95723470052076 -0.2892964680989678)"><path d="M53.58 7.25 C59.5 3.46, 66.89 1.1, 77.09 -1.23 M53.58 7.25 C59.37 5.78, 64.94 2.35, 77.09 -1.23" stroke="#1e1e1e" stroke-width="2" fill="none"></path></g><g transform="translate(1341.75047374907 676.3505147298176) rotate(0 37.95723470052076 -0.2892964680989678)"><path d="M53.63 -9.85 C59.6 -9.37, 66.98 -7.46, 77.09 -1.23 M53.63 -9.85 C59.53 -7.19, 65.09 -6.48, 77.09 -1.23" stroke="#1e1e1e" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(899.4231247017062 1000.7108256022135) rotate(0 151.3036840858565 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font-size="16px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">Explore data?</text></g><g stroke-linecap="round" transform="translate(670.2979997907366 1231.4896138509116) rotate(0 239.53352864583337 99.04292805989587)"><path d="M32 0 C127.57 -0.07, 224.67 -0.4, 447.07 0 M32 0 C175.21 -1.89, 318.76 -1.53, 447.07 0 M447.07 0 C468.99 -0.66, 479.4 10.78, 479.07 32 M447.07 0 C470.26 -1.47, 478.25 12.06, 479.07 32 M479.07 32 C478.62 82.93, 479.35 130.34, 479.07 166.09 M479.07 32 C479.48 83.24, 479.7 135.41, 479.07 166.09 M479.07 166.09 C481.02 185.73, 469.74 198.52, 447.07 198.09 M479.07 166.09 C480.15 187.15, 469.02 197.91, 447.07 198.09 M447.07 198.09 C337.09 195.53, 224.48 196.34, 32 198.09 M447.07 198.09 C299.69 196.74, 152.29 196.81, 32 198.09 M32 198.09 C8.77 198.31, 0.6 186.25, 0 166.09 M32 198.09 C11.97 197.7, -0.22 185.61, 0 166.09 M0 166.09 C0.53 136.61, -1.07 110.85, 0 32 M0 166.09 C-1.12 124.55, -0.38 82.81, 0 32 M0 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fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">- incase we do not have to go customization way for anonymize data,</text><text x="0" y="54.096000000000004" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">we would probably write a Lambda trigger from here, </text><text x="0" y="74.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">which would do necessery processing. </text><text x="0" y="94.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">but in batch, via some queue may be event bridge. </text><text x="0" y="114.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">- in this format, we could run the job hourly basics, </text><text x="0" y="134.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">where it would consider the data from last hour</text><text x="0" y="154.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">s3://(YYYY)/(MM)/(DD)/(HH)-1/*.(json/xml)</text><text x="0" y="174.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic"></text></g><g stroke-linecap="round" transform="translate(943.5924537295386 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transform="translate(858.1094418480279 218.83968098958337) rotate(0 96.76668294270848 90)"><path d="M121.25 22.75 C138.56 37.31, 154.99 54.18, 169.28 68.25 M169.28 68.25 C195.46 91.7, 192.08 92.94, 169.28 113.75 M169.28 113.75 C155.43 124.48, 144.73 136.42, 121.25 157.25 M121.25 157.25 C96.56 179.28, 97.2 180.93, 72.75 157.25 M72.75 157.25 C60.36 144.21, 47.59 131.84, 24.25 113.75 M24.25 113.75 C1.02 92.83, -1.37 89.51, 24.25 68.25 M24.25 68.25 C42.66 49.53, 64.43 33.68, 72.75 22.75 M72.75 22.75 C97.79 -1.06, 97.03 0.54, 121.25 22.75" stroke="#1e1e1e" stroke-width="2.5" fill="none" stroke-dasharray="1.5 8"></path></g><g transform="translate(919.1688163394017 288.83968098958337) rotate(0 35.82396697998047 20)"><text x="35.82396697998047" y="14.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">Job</text><text x="35.82396697998047" y="34.096000000000004" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">scheduler</text></g><g stroke-linecap="round"><g transform="translate(863.9760189964661 321.1243340695488) rotate(0 -201.9468164353146 170.85502158020344)"><path d="M0 0 C0.04 -0.11, -0.02 -0.29, 0 -0.52 M0 -0.52 C1.41 -0.5, 0.89 -0.7, -0.52 -1.04 M-0.52 -1.04 C-150.71 -3.51, -300.06 -2.66, -387.89 -1.04 M-387.89 -1.04 C-396.83 -1.49, -402.52 6.27, -403.89 14.96 M-403.89 14.96 C-404.02 86.19, -403.61 158.77, -403.89 342.75" stroke="#1e1e1e" stroke-width="2.5" fill="none" stroke-dasharray="1.5 8"></path></g><g transform="translate(863.9760189964661 321.1243340695488) rotate(0 -201.9468164353146 170.85502158020344)"><path d="M-412.43 319.25 C-408.84 326.84, -408.9 331.24, -403.89 342.75" stroke="#1e1e1e" stroke-width="2.5" fill="none" stroke-dasharray="1.5 6"></path></g><g transform="translate(863.9760189964661 321.1243340695488) rotate(0 -201.9468164353146 170.85502158020344)"><path d="M-395.33 319.26 C-396.31 326.68, -400.94 331.08, -403.89 342.75" stroke="#1e1e1e" stroke-width="2.5" fill="none" stroke-dasharray="1.5 6"></path></g></g><mask></mask><g transform="translate(673.8378760928201 299.5404561360677) rotate(0 64.26394653320312 20)"><text x="0" y="14.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">Check load/size </text><text x="0" y="34.096000000000004" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">before trigger</text></g><g stroke-linecap="round"><g transform="translate(954.7761247907365 403.83868088956336) rotate(0 17.510144042968932 206.84551652950205)"><path d="M0 0 C0.1 51.18, -1.17 101.34, 0 190.85 M0 190.85 C1.87 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Segoe UI Emoji" font-size="11.768305121527764px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">save $$ -- trigger job based on load </text><text x="0" y="25.078258213975662" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.768305121527764px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">on specific machine type , </text><text x="0" y="39.788639615885366" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.768305121527764px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">which popssibly we have pre-created?</text></g><g transform="translate(783.0643979027157 619.2793375651042) rotate(0 61.77593994140625 20)"><text x="0" y="14.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">trigger catalog </text><text x="0" y="34.096000000000004" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">schema creation</text></g><g stroke-linecap="round" transform="translate(748.5063331240701 44.85904947916663) rotate(0 206.05853271484364 36.15191141764325)"><path d="M18.08 0 C104.88 3.01, 193.98 1.92, 394.04 0 M394.04 0 C407.15 -0.28, 411.11 5.8, 412.12 18.08 M412.12 18.08 C413.5 27.51, 413.75 35.91, 412.12 54.23 M412.12 54.23 C411.06 68.23, 406.24 73.43, 394.04 72.3 M394.04 72.3 C271.11 74.06, 146.84 73.24, 18.08 72.3 M18.08 72.3 C7.73 73.84, -1.32 68.14, 0 54.23 M0 54.23 C-0.87 43.06, -1.73 31.08, 0 18.08 M0 18.08 C-0.08 7.89, 5.52 -1.3, 18.08 0" stroke="#1e1e1e" stroke-width="2.5" fill="none" stroke-dasharray="1.5 8"></path></g><g transform="translate(786.4008643740701 63.955342610676894) rotate(0 174.52786254882812 20)"><text x="0" y="14.096" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">Admins controlling more as to what </text><text x="0" y="34.096000000000004" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">and when and how to be scheduled/metrics ?</text></g><g transform="translate(839.4285834633506 10) rotate(0 123.71533561856427 10.181335449218693)"><text x="0" y="14.351610449218676" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="16.290136718749913px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">Management &amp; insight Platform</text></g><g stroke-linecap="round"><g transform="translate(954.464865838914 122.16287231445301) rotate(0 0.15562947591126886 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22.490051269531307)"><text x="0" y="10.56732542317711" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.994694010416698px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">kinesis fire hose</text><text x="0" y="25.56069293619798" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.994694010416698px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">to batch the data </text><text x="0" y="40.55406044921885" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.994694010416698px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">by time/size and stream to s3</text></g><g transform="translate(229.22652762276817 494.5794169108068) rotate(0 87.53038024902341 27.682020399305472)"><text x="0" y="9.755143988715249" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.07280815972219px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">kafka connect cluster X </text><text x="0" y="23.596154188367983" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.07280815972219px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">s3 connector by confluence</text><text x="0" y="37.43716438802072" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.07280815972219px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">to batch the data by time/size </text><text x="0" y="51.278174587673455" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.07280815972219px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">and stream write to s3</text></g><g transform="translate(200.1735897972473 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Xiaolai, Segoe UI Emoji" font-size="11.954488478897384px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">we could also validate the data file, </text><text x="0" y="40.41812554715205" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.954488478897384px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">and probably either copy or add this path to some DB?</text><text x="0" y="55.36123614577378" font-family="Excalifont, Xiaolai, Segoe UI Emoji" font-size="11.954488478897384px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">TO be reviewed manually - usually a decession based on situation and many other factors</text></g></svg>

Board link: https://excalidraw.com/#json=BoxxflVhiUmc9cKHsuQMo,LzNV9TRhr9T_WqvzM_STbA

Consideration

  • We do have some level of control over how the data enters to our system.
    • if not, we would create extra KAFKA where all the data lands in via a lambda possibly before they dumped in batch to s3 landing zone.
  • The Kafka in context probably is managed? (MSK)
    • if not - we need to use 2 different tools before it enters to s3 landing zone.
  • The PII data is not required during model training and safe to evict.
    • if not, we dont need to check the PII data, but encrypt end to end data when it stays within S3 and this decryption would be needed in sagemaker level as well. (Not recommended)

Flow

  1. We receive the data from managed kafka & event bridge, and they all go to Firehose. which then batched and streamed write to s3.
  2. In s3 we partition the data in multi level e.g ``` YYYY/ , MM/, DD/, HH/*.json/xml`
  3. On S3 object -create , we put events through SQS , through which , it triggers a lambda function, which checks the files created are valid or not , and if valid then triggers aws glue - crawler job, for us to have a schema, which could be used later in the ETL stage. Now if incase - there is a drift in schema , it glue creates new version, we could via cloudwatch get notified by which file its creating the diff, and take action. or we can follow string rules in schema.
  4. Now that we have all the data, we could spinup a glue - ETL job, which would load each batch of data either by the partition from s3 , e.g a hours whole data would be picked up and processed . here we could transform the data as per requirement , and not only that , we could add the PII data anonymization step here as well.
  5. Now that we transformed, anonymized the data , we can store this data into s3 again , possibly a different bucket, where it would store in partitioned format again, now in parquet format , (it reduces the size from json) and we can add extra layer of compression e.g (snappy)
  6. On the other side we could run another crawler job which would work same way as before (s3 create -> sqs -> trigger glue crawler in batch) and generate the schema , which can be used later in the athena if we want to expose or put this up for DS personnel to explore the transformed data.

Few more layers

Now, that we know what we have done just now, lets consider these

  • We have central cron job manager , which triggers - Spark ETL jobs - Because we create different machine type based jobs tuned for working hourse and non-working hours, - we trigger jobs every hour for next batch, and this centralize job scheduler would check how many files and what size it is of , and based on that it would trigger the necessery jobs, which would run in either small or large machine. (the more number of varities and granularity we would have , the better it would be interms of cost) - This scheduler/job manager can also trigger the aws glue crawler which would generate transformed data schema.
  • After S3 landing data , before ETL we are making some level of processing in batch, here we can validate the data and put them away if invalid , for later to check and also put through alerts. This step we can do in batch and parallel as much as possible and this segment can itself be a full fledge application design , here we need to keep eye on dead-letter-queue as well time to time so a lot of alerts.
  • The anonymization step is something we can do from the ETL step, where we could detect them and hash the PII data, by column. which is irreversable but stays same for same input , so relation is still possible to make up to some extent. things like address could be then partitioned in more granular form, and that way we could achive more data quality as well.

Why using these tools?

Well , instead of spark jobs , i could make use of something like airflow, which offers more cloud agnostic options and flexibility at many levels and interms of tooling cost would be lesser as well.

Looking at the Data lake , the cloud stack possibly already heavily in the AWS and on top of that a lot of connectors with sagemaker and s3 are readily available including the IAM permission granularity are some of it. if we look further in, AWS Glue offers not only features but well made integrations ready to start as well as the connecctivity between each component , including the starter kit which are something makes us to spend lesser man hours meaning we can start things up faster there with less time and meaning lesser cost.

In the kafka x event bridge i could have s3 connector for kafka and firehose for eventbridge to batch dump the data into s3, then one more extra component to monitor and manage, which is why i would prefer one solution that possibly would work best in this situation that is firehose. (if doable)

For Cron job scheuduler that triggers jobs, I would put that in a application backend code if we have EC2 instance where we run small set of services, if we have any toolong EKS cluster, even better we could have cron jobs there. Having AWS batch may be overkill for this.

What can go wrong and how should we deal with it?

Well, World is not so safe place, someone might just cut the big intercontinental wires that connects Europe to the world somewhere in the oscean and we go dark. ;)

There are a few pointers i see ,

  1. Data loss from S3 bucket? : solve by having timely
  2. (Kinesis ADF) Firehose goes down? : Alerting via cloudwatch is best we can do in this case.
  3. The pre-ETL job , (s3-sqs-lambda) fails, or SQS deadletter management : Alerting we could do best in this.
  4. This could be either triggerd from any kind of pipeline or our controlpane (may be EKS? via k8s jobs? or any CICD platform like jenkins. circle CI etc , ) and if not triggered in lets say within 5 hours we raise alert from cloudwatch.
  5. Things can go wrong in data processing or PII detection as well, we can have extra spark job to keep an eye on the processed data, and report as necessery, (s3-create > sqs > trigger spark job to check PII in batch or via lambda with custom solution)

Cost effectiveness

  • I can count on reserving the instances and using them and using spot insgtances in the whole process wherever permissabkle.
  • Making things parallel and in batch always saves time, we can take this principle wherever we see opportunity to put on.
  • Purge unwanted data, or if needed sometime in future, ccompress at bulk and store them in cold storage.
  • Make use of bookmarking in the ETL job so we do not process same job multiple times.
  • Use correct instance size for correct workload (create the ETL jobs on fly based on the size? not that for 1000 different type we cretae 1000 jobs and trigger them or maintain them, but have a set of max 10 jobs instead.)

Implementation cycle

In 2 week sprint Week #1 -

  • I believe we can put through the kafka x eventbridge via ADF firehose to the landing s3 first (needs cross team communication i suppose - async task)
  • Create a lambda that triggers the Crawler and validates data files in batch with s3 parsable inputs.
  • With IaC crete the ETL job and make it read from s3 and then process and then put the output into target s3 bucket.
  • Create another crawler which works on processed s3 data and also connects to athena
  • Create a job(may be in local) that triggers these ETL job and processed s3 crawler.
  • COMPLETE & VALIDATE : Crawlers creation, ETL job creation, s3 data landing zone.

Week #2 -

  • Create the full cycle of pre-ETL job, (s3-on-create -> SQS -> Lambda trigger -store state in dynamodb), manage the deadletter and cloudwatch for necessery alerting.
  • Deploy the pre-created Job into a k8s cluster and make sure its able to run and create ETL jobs on the fly (ondemand trigger as well as based on load), also able to trigger the post processing crawllers
  • Verify the PII data are not present in processed data and they are encrepted and compressed as file & querrible from Athena.
  • Put up cloudwatch alerts on Firehose, SQS, Lambda , Aws Glue ,
  • VALIDATE --

What kind of SLO would i be interested in?

(does not satisfy - send alert!!)

  • Dead-Letter-Queue from SQS is possibly less than 100 messages
  • Glue Crawler/Job must run successfully at least once every 4 hours.
  • Invalid files must not increase (2x) compared to the previous hour
  • Drift in schema (new version created?)
  • OPS-----
  • There would be more metrics we would be interested in , to look at the data input frequency , size of them, ETL processing ndoe usage , at what time , etc, usage of spot instances or reserved etc, these should be helping further tuning the system.
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