AWS – Developer Associate Certification learnings

It’s been almost 2 weeks since I passed the certification exam and I wanted to pen down the high level details of all the components that I have studied to pass the AWS Developer Associate exam.

First off, I would like to thank Stephane Maarek and his wonderful Udemy course – Ultimate AWS Certified Developer Associate without which I am not sure I could have even inched past the priliminary set pieces.

Background
Like every Software Developer worth their salt my fascination to learn about cloud technologies began few years back. With help of Pluralsight courses, I started off my learning. The course, as usual was of excellent calibre but one tiny teeny detail that wasn’t mentioned was the need to monitor the bill. I was of the opinion 750Hrs of free-tier would last a lifetime.

I drifted off the course for a while and forgot to turn off the EC2 instances and voila! One fine day, in my mailbox I saw a bill of AUD $160. I immediately contacted the support centre and had the account suspended.

It really scared me off for a while and I put off learning about it for quite bit of time.

Motivation – I
On and off after that experience I just dabbled with S3 storage and static websites, trying to programatically load some images using Amazon SDK. As part of my Udacity Nano degree experience, I worked on small ETL batch jobs using Python modules by first loading the data on to S3 and then on to Redshift as the final destination. The whole program though left me with a bad taste with one of the worst support system and sub par course quality, though I managed to create some portfolio projects.

As I started off my job search, I realised it’s hard to convince people that I am well acquainted with AWS technologies and I know how to work with them. Though I don’t directly work on it in my current, I am quite aware that the Cloudera offering that we have is deployed across multitude EC2 clusters and we are not using the out-of-the box EMR provided by Amazon.

Additionally, I have been quite often asked if I have certification at least.

Motivation – II
When I started searching for the certification offerings from AWS, I realised the one I really want to give is – AWS Certified Data Analytics – Speciality as I aim to become Big Data Engineer/ Developer. That certification explores whole gamut of technologies that one can utilise as part of Data Analytics of Big Data –

Collection (Kinesis, Database Migration Services (DMS))
Storage (S3, DynamoDB)
Processing (Glue, Lambda, Hive, Spark, Hue, HBase)
Analysis (Redshift, Athena)
Visualisation (QuickInsight)
Security (STS, KMS)

The ones highlighted are something that I have worked\working with. AWS mandates that I need to have a Associate certificate before I can attempt an Speciality certificate. I chose ‘Certified Developer – Associate’ out of the three options. Fielding around with friends and colleagues I could see that Udemy course was a strong first followed by ACloudGuru subscription. I took the former. It was an intense 4 week preparation that ultimately bore the results. So, without much further ado here is the recap of all the suite of products that I have learnt

#Product NameDescription
1IAM (Identity and Access Management)Access Management forms the heart and soul of AWS eco system. It has a global view and all the permissions are governed by Policies (written in JSON) format. Governance is accorded in three segments (Users, Groups, Roles)
2EC2 – Elastic Cloud ComputeEC2 is akin virtual servers on the cloud. AWS provides you whole gamut of choices depending on the 5 distinct characteristics – RAM, CPU, I/O, Network, GPU.
Additionally you can have different launch types too –
On Demand Instances – short workloads
Reserved – Minimum 1 Year
Spot Instances – short workloads, less reliable, can be kicked off the instance
Dedicated Instances – exclusive access to the hardware and not shared by anyone
Dedicated Hosts – Booking of entire physical server, control instance placement etc.
3ELB – Elastic Load BalancerLoad balancers are servers that forward internet traffic to multiple EC2 servers and essentially spread the load to downstream instances. Three types of Load Balancers are present –
Classic Load Balancer
Application Load Balancer (v2)
Network Load Balancer (v2)
4ACG – Auto Scaling GroupPurpose of ASG is to Scale Out (EC2) to match increased load or Scale In to match decreased load. Goes hand in hand with ELB’s. Trigger for scaling can be on CPU, Network or even custom metrics. Various types of scaling can be done – step scaling; scheduled scaling etc
5EBS – Elastic Block Storage
Instance Store
EFS – Elastic File System
EBS is a network drie you can attach to EC2 instance when they run and retain data in case the instances crash. They are locked to AZ. Depending on need various types of storages are available (from large to small, high latencey to low latency etc). A EBS can be attached to only one EC2 instance

Instance Store unlike EBS is like a USB attached to EC2. Available directly from the machine. On flip side, you will lose all the data if instance crashes

Elastic File System is highly scalable expensive storage that is available across multi-AZ. EFS can be attached to multiple EC2 instances.
6RDS – Relational Database Store
Aurora
ElastiCache
Managed database service from AWS stable that provides automated provisioning, continous backup, read replicas, auto-scaling (both vertically and horizontally, os patching) and so on.

Aurora is a serverless Database management from AWS which is akin to AWS RDS on steroids i.e. 5 times more performant.

ElastiCache is similar to EBS i.e. in-memory databases for RDS. It gives ability to cache requests and reduce the hits going to the DB. Remember on the cloud every read/write counts in the cost. Two Types-
Redis – Backup and Restore features
Memcached – Non-persistent
7Route 53A service akin to Traffic Police redirecting road traffic. Redirection can be done at domain level (CNAME), or to another amazon resource (Alias). Various types of routing are available –
Simple
Multi Value Routing
Geolocation Routing
Failover Routing
Weighted Routing
Failover Routing
8VPC – Virtual Private CloudVPC isn’t extensively asked for Developer Associate but high level knowledge should suffice. It’s a private network to deploy resource within which public subnet and private subnet can be set-up

NAT Gateway and Internet Gateways would be used to  communicate with www.
9Amazon S3 – Simple Storage Service

Athena
Major building blocks of AWS. Infinite storage layer to store wide variety of data. Data is stored in buckets (directories). Version controlling can be enable.
One of the most interesting things I found is the various storage classes capabilities starting from General Purpose to Glacier Deep Archive (min 180 days storage)

Serverless service to perform analytics direclty against S3 files remotely.
10CloudFrontContent Delivery Network to improve read performance, DDoS protection etc. Provides Global Edge Networks; great for static content that must be available everywhere
11ECR – Elastic Container Service
Fargate
Container Management service for docker installations. ECS clustoers are logical grouping of EC2 instances

Fargate provides serverless management of container services providing high scalability without manual intervention
12Elastic BeanstalkDeveloper centric view of deploying application on AWS. Has three main components – Application, Application Version, Environment name (dev, test, prod) etc.
Provides highly flexible deployment modes – All-At-Once; Rolling; Rolling with Additional Batches; Immutable
Can make use of CLI capabilities to manage entirely via code.
13AWS CICDDevOps on AWS can be done using these components providing CI/CD
CodeCommit –
CodePipeline –
CodeBuild –
CodeDeploy –
14CloudFormationInfrastructe as Code. I absolutely LOVE this feature. It’s just mindblowing in every sense. It’s declarative way of outlining AWS infrastructure.
Create a template of the infrastructure that you desire. It’s then just a matter of creating and removing infrastructure on click of a button.
I will be focusing more on this from now on to enrich my learning
Monitoring –
CloudWatch
X-Ray
CloudTrail
All the applications sends logs to CloudWatch. Alarm can be set for notificaiton in case of unexpected Metrics.
X-Ray service provides automate trace analysis and Central Service Map Visualiation. Request tracking across distributed systems
Audits API calls made by users/ services/ AWS console. Useful to detect unauthorized calls or root cause of changes
20AWS Integration & Messages –
SQS
SNS
Kinesis
SQS refers to consumers polling data, data getting deleted after message being read, highly scalable service.
SNS refers to messages being pushed to subscribers, up to 10M subscribers, easy integration with SQS for fan-out pattern
Kinesis is used for streaming data services where the data gets distributed in mutliple shards. Data is read-only which then provides ability to do multiple analysis.

Alteryx – Get SheetNames from Excel file

Once the base Macro is set, we now need another macro which can spit out the sheet names from a given excel file. Perform the following steps to create this macro –
1. Drag in ‘Input Tool’ and connect to any of the existing excel file say ‘Movies.xlsx’. On connection, chose the option – Import only the list of sheet names ( as shown below ). Additionally in the configuration pane of the tool set ‘Output File Name as Field’ to ‘Full Path’

2. Drag in a ‘Formula’ tool and create a new field ‘FullPath’ with the following formula
TrimRight([FileName],'<List of Sheet Names>’)+”‘”+[Sheet Names]+”$’”
3. Drag in a ‘Select’ tool and deselect everything but the ‘FullPath’ field.
4. Drag in a ‘Macro Output’.
Here is how it should look like –

Run the workflow and ensure full path is being shown –

Does experience matter?

Experience Meme | TaylorMadeMarketing©

As my current contract gets a last breath of life and I begin to search for opportunities, this one question has really been doing rounds in my mind. Let me further elaborate on that question before people jump the gun. Does experience in particular technology really matter, if you already have knowledge in related subject matter?

For over a decade since starting my career, I had worked with MSBI suite of technologies with PowerShell, C# thrown in. It wasn’t until I came here to Sydney to work for a different client (LINK Group) where I had the opportunity of working with different sets of tools such as Informatica and Oracle. Things were going good.

As the work came through, I adapted myself to learning the new tools and working with them. It didn’t take time to really upskill. It was then I got a lucky break. Vinay Sammineni of Cognitivo Consulting and his partner Alan Hsiao took upon my CV (from a mutual friend) and saw that I had very good data warehousing and SQL skills.

They phoned me and asked me if I was interested to work for Amaysim who were looking for a data analyst with the skills required being – Alteryx, Tableau, Amazon Redshift and stated further that they have also set-up an interview with them. This was quite a shock and I clearly remember asking them multiple times if they have gone through my CV as I didn’t have any experience in any of them up till that point.

The interview with Jacquie went well and the questions were mostly focused on standard SQL and my past work experience – the challenges that I had faced, dealing with demanding managers etc. She then went on about the tools the company were using and she was quite blasé about me not knowing them and said you shouldn’t find any difficulty getting acclimatised with them.

That was how my new path began to take shape. I honestly can’t thank enough the folks at Amaysim and also Vinay and Alan for believing in me and my abilities to transition my existing knowledge and using it to develop new ones.

As I start applying for jobs for Data Engineering roles, I hope I come across a company who can see my capability to transition my existing breadth of knowledge and not exactly on the tech skills that I work with.

Alteryx – Max Date from multiple excel files with varying schemas

As the title states, the requirement is simple – Extract max date from multiple excel files with varying schemas. I had a task where the requirement was to go through about 30 odd excel files and pick max date from each of them for monitoring purpose. All the files do not have necessarily have same schemas i.e. same number of columns or sheet name for that matter.

Just looking at the requirement, I knew this is a cakewalk for Alteryx. You see once you get a small taste of how a macro works, you will begin to realize the incredible power of the ability to customize every single component of the workflow – input tool, output tool, filter, join. Anything, you just name it, it will do it for you. It will put those tiny black thingy on the controls and hallelujah! you are set.

Alteryx Designer x64 - Macros_configuration.png

I did some simple mind calc and bam, I knew I could rig this up effortlessly.

Without any further ado, let’s get into this with an example. Like every other person out there I consume a lot, I mean a LOT of audio/movie content be it movies, series or podcasts. So I have three files now to keep track of these –

1. Movies Seen.xlsx containing the following data-

Alteryx Designer x64 - Blog_Excel_Movies_Sample

2. Series Seen.xlsx containing the following data –

Alteryx Designer x64 - Blog_Excel_Series_Sample

3.Podcasts Heard.xlsx containing the following data –

Alteryx Designer x64 - Blog_Excel_Podcasts_Sample

As can be seen all the files above are having different column names and different sheet names too. My goal is to get when was the last movie that I saw or series I saw or podcast I heard.

Here is the expected result –

Solution –

My first step was to create a lookup file – media_config_data.csv which looks like below –

Alteryx Designer x64 - Blog_Config_Data

We will make use of this later. First let’s create one simple workflow that gives the max date from one of the files above i.e. Movies Seen.xlsx. Here is the screenshot of the base workflow –

The workflow does following things –
1. Use ‘Input Data’ and connect to the excel file.
2. Add a ‘Formula Tool’ and create new column ‘Max Date’ and set it to ‘Last Watched On’
3. Add a ‘Select’ transform and deselect all the columns excepting the ‘Max Date’ and ‘File Name’ column
4. Add a ‘Summarize’ transform and set it as ‘Last Max Date’
5. Generates a dummy output

Ensure that the workflow works without any error. The next step is to create a ‘macro’ out of it. Some of ‘comments’ in the above screen shot should give an idea of what is going to happen.

Step 1 – Macro to obtain Max of Date column

Perform the following steps to create the macro. This is where the actual magic happens –
1. Drag in three ‘Control Paramters’ on to the canvas and set the labels as –
Excel Name, Sheet Name, Date Column Name.
2. Connect the ‘Excel Name’ control parameter’s magnifying glass to lightning strike of ‘Input Tool’. An ‘Update value’ action tool will popup.
3. Perform the following actions on selecting the ‘Update value’ tool as shown below –

4. Perform the steps (2) and (3) for Sheet Name control parameter and in following through ‘Replace a specific string:’ Movies.
5. Now connect the ‘Date Column Name’ control parameter to the lightning strike of ‘Formula’ tool and perform the actions as seen below –

6. Lastly remove the ‘Output’ tool and connect ‘Macro output’.
7. Save the file as ‘Obtain Max Date from Excel File’.

Here is how the macro would like like once done –

Step 2 – Workflow to process the files
This workflow is where we use Directory tool, to obtain all the excel files and get file name and full file path, join it up with config file and obtain the three variables that the above macro needs –
1. Excel Name
2. Sheet Name
3. Date Column Name
Here is how the workflow would look like –

On running the workflow, we get the desired output as shown below –

So who do you really work for?

I attended a Town Hall meeting yesterday of Genpact from who I currently contract with. It was very interesting meeting with about 70 odd people attending it. One of the things that pleasantly surprised me is the strength of non-Indian representation. Genpact is one of the mid-tier IT firms based out of in India and having worked for such consultancy firms before I expected large Indian diaspora with occasional Aussies.

This was the very case in the first company that I worked here in Australia and contracting for LINK Group, as a MindTree employee. In the annual parties that we had back then, I could count with my fingers on number of Aussies in the whole pact. So it was quite a sight to see a change.

The one difference I can see right away is whereas in MindTree there was predominant presence of developers, here I could see the opposite. This would only mean , at least to me, expansion is yet to happen for the company. There were two main speakers who gave an update of the company’s outlook, how it fared from last year, exciting new clients that they bagged this year. The company looks to be heading very strong with really good performance outlook.

Right at the end, the meeting then veered into employee feedback they obtained and what it meant to them, how they are going to address it etc. It was it this point, I was kind of zoned out.

It reminded me of all the times that I have been a salaried full-time employee, for whom talks like this used to invigorate a sense of belonging in me. Ever since I have been contracting, events like this put a different perspective on thinking.

Post the meeting, I stayed on for a while just to have a casual chat with any of the folks there. It was during that time I got asked – so who do you really work for?

That’s when for the first time, I got a sense of liberation. Being on contract, is in a way being on your own. In truest sense the answer would be I work for the client as that is my primary responsibility. The question, though, is much broader than that. In absence of allegiance, for whom am I really working?

Ever since the day I have started working, my first and foremost dedication is to the quality of work I deliver. It has to be flawless, easily scalable, extensible and most importantly well-documented. It is the work that gives me the utmost satisfaction. The one thing I have consciously decided to focus on now is to improve my technical knowledge and gain inroads into big data engineering space.

Day #2 – Data Modeling

Day #2 of my course involved getting over view of data modelling. The course started off with basic introduction courses for relational and cloud databases. The course per se was touching only on basic terms and bit underwhelming w.r.t to intro to PostgreSQL database.

Cassandra database is the next hurdle to cross and work on.

Day #1 – Getting the engine started

Yesterday marked my first day in the Data Engineer Nanodegree course offered by Udacity. After thinking a lot on how to best equip myself and enrich my knowledge in the world of Big Data and taking the steps towards it, this course came along talking about THE essential things that I wanted to learn – Cloud data warehouses, Spark and Data Lakes.

What further sealed the deal was I am working on a project where we are using Spark and Data Lake as well. However, it is being handled by a separate team. My involvement so far has been to the extent of writing Impala queries, creating data structure, testing the sqoop queries and occasionally query tuning by looking at the logs to understand which partitioning is better. I reasoned that doing this course will give me a better ammo to pitch myself to get into the Data Lake team. Time will tell (fingers crossed)

I have been longing for an opportunity to pivot my career from the traditional BI to Data Engineering on Big Data Platforms. Here is a course that not only promises to teach the nitty gritties of being a Data Engineer with a proper structured methodical teaching but also help with shaping up my career via services like resume editing and LinkedIn page setup. Long way to go for that.

So here is what my Day 1 (yesterday) felt like so far- Absolutely wonderful!
In the first few videos I have really gotten to know what Data Engineer really means and what other titles actually mean and how they stack up.

What resonated me a lot was this article that was one of the materials to read up. It spoke volumes to me as this was exactly the path I had been following all through my career. I started off writing ETL packages via SSIS on traditional OLTP – OLAP databases, designing cubes off of it, designing and developing reports based on it.

All these have stopped about 3 years ago and it was only a year ago, I am completely off it. I am now working on data sources which are disparate in nature or are built on the Data Lake. This is a brand new world for me and am loving every part of it. The challenges are different, more exciting and there is SO much more to be done.

Looking at the evolution of how data has proliferated and how the traditional RDBMS technologies are not sufficient to cater the growing needs of business, I am happy to see the organic growth in me. Of course, to be where I am today, the forces that have shaped me are largely due to the work done in BI but stepping into new future I need more ammo.

Coming back to the course, I started off with Data Modelling basics and some intro into PostgreSQL.

Next post would be more structured. The purpose of this post with # tag is to motivate myself to read every day and share my thoughts on my learning.

Alteryx App- Adding (Select All) to Dropdown

One of the most common requirement that comes when creating Alteryx Apps involving a dropdown is to have (Select All) as one of the values. This value, if you have not inferred by now, would not be part of a data source but something we add to it. Basically I am trying to simulate what Excel does when ‘Sort & Filter’ is enabled as seen below – 

2019-02-07 11_39_50-Marvel Movies Box Office Report.xlsx - Excel

In this post I am going to demonstrate how to add this value in the drop down and how it then needs to be consumed in filtering the datasource. This post will have the following sections –

  1. Get Dummy Data
  2. Add (Select All) to Dropdown tool
  3. Filter dataset using the ‘(Select All)’

1. Get Dummy Data

The test data which I am going to use for this post is the highest grossing Marvel Movies which I am getting from this link – Marvel Comics Movies at Box Office. I copied the first table and stored it in my local disk. In my Alteryx App, I have dragged this data as a Input Tool. Used DateTime Tool and Filter to create a unique Date Format.

Sample Data is shown below –

2. Create Filter with (Select All) in it

As next step I am going to create one Dropdown filter – ‘Studio’. For this post I am choosing the option – Manually set values (Name:Value – one per line). I have entered the values manually. As you can see I have kept the option ‘(Select All)’ as the first entry. 

2019-02-07 11_55_37-Alteryx Designer x64 - Test Workflow - Blog.yxwz_.png

If the data is coming via connected tool, ensure that source data for the filter is joined with the ‘(Select All)’ manual text data. Likewise, if it’s coming from external source, add this entry. Essentially because this value doesn’t exist, we would need to add it.

3. Filter dataset using the ‘(Select All)’

We identified our column on which we need to filter. We have created the values for the filter. It is now time to actually ‘filter’. I have now dragged in a Filter transform. Too much repetitive, isn’t it. I will now ‘filter’ (pardon the pun) going forward. Put the following entry for the ‘Customer Filter’ option as shown below –

2019-02-07 12_05_27-Alteryx Designer x64 - Test Workflow - Blog.yxwz_.png

Here is what we need to do next –
1. Connect the ‘search’ icon of ‘Studio’ dropdown to the lightning bolt of ‘Filter on Studio’ Operator. A ‘Update value’ operator pops up in between.
2. Click on the operator. Under the ‘Value or Attribute to Update:’ section, click on “Expression – value = ….”
3. Click on the checkbox ‘Replace a specific string:’ and just keep the value as ‘<studio>’ (without quotes) as can be seen below- 

2019-02-07 12_14_02-Alteryx Designer x64 - Test Workflow - Blog.yxwz_.png

That’s it. Essentially the logic here is the inclusion of OR expression of place holder value equal to ‘(Select All)’. When a specific filter is selected, the select all expression goes false and when ‘(Select All)’ option is selected, well this one gets true and essentially the filter will flow through all the data.

Same logic can be used for filtering the data say in a Dynamic Input with data coming from a particular SQL data source. Code for that would look like this – 

select *
from  really_awesome_table2019-02-07 14_18_14-Alteryx Designer x64 - Select All - Filter implementation.yxwz.png
where (
           that_parameter  = ‘<this_value>’
            or
           ‘(Select All)’ = ‘<this_value>’
          )

To test it out I have put in a summarize transform to group by ‘Studio’ and ‘Total Movies’. Let’s run the workflow.  Here is how the wizard looks like –

2019-02-07 14_20_04-Alteryx Designer x64 - Select All - Filter implementation.yxwz.png
Here is how the output looks like, executing with (Select All) and individual Filter –



IntelliJ – New Project – Scala not appearing

Have you come across the problem of not being able to select ‘Scala’ as part of the ‘New Project’ in IntelliJ as shown below (psst – there is Scala present, I know. For imagination sake let’s say you don’t see it, kapise?)  ?

IntelliJ-New Project-Window.png

First thing when you google, everything it points out is for you to installing ‘Scala plugin’.

Let’s say you do have the plugin installed and available and enabled as shown below but even then you don’t find it in the ‘New Project’ –
IntelliJ-Plugins-Scala-Enabled.png
This usually happens say when you have upgraded your IntelliJ or re-installed your IntelliJ with a different version at different time and have imported the old settings. The best thing to do to get over this error is navigate to the folder – C:\users\<username>\ and delete all the folders starting with .IdeaICxxxx as highlighted below –
IntelliJ-User Folder-Delete.png

That’s it. Now open up your IntelliJ again, all should be good now to get going. Of course this time around you would need to get your JDK and Scala libraries set up. Follow this blog – link

 

Alteryx – PostgreSQL – Out of memory while reading tuples

While working on one of the workflows of Alteryx with PostgreSQL data sources, I started getting this wierd error –

Error SQLExecute: Out of memory while reading tuples.; memory allocation error???

This was a unusual error. For one I was running this not on my local machine but on the Gallery which was governed by the server. Also I felt Alteryx folks could have done away with three question marks (???). It feels as if we are being questioned on the memory allocation and it’s just waiting for some confirmation.

This is one of those classic it-works-in-dev-not-in-prod kind of problem. I then went back and compared the two ODBC data source settings across both the environments. It was here I could see the problem. You need to set the setting for PostgreSQL ODBC data source to have ‘Use Declare/Fetch’ option set in.

Open up the ‘ODBC Data Source Administrator’ window after running it as administrator. Click on the ‘Data Source’ that you are using and click on ‘Configure’. In the ‘PostgreSQL ANSI ODBC Driver (psqlODBC) Setup’ window, click on ‘Datasource’. Ensure that the checkbox ‘Use Declare/Fetch’ is checked and then click on ‘OK’ and close the subsequent windows. This setting resolves the issue. Below is the screenshot

PostgreSQL data source setting