Related Posts
In BGC, do company gets to know about projects we worked in previous company?? Like :
1. Our duration in project ?
2. How many projects we worked?
3. Project type : support or development?
Heard of fake BGC firing... From top MNCs.
Accenture Tata Consultancy Wipro Cognizant HCL Technologies Infosys
ZS Associates Hello folks, I am a permanent employee of Persistent. I am deputed at the client side. My client is an ZS associate. Recently I have resigned from persistent. But ZS is very happy with my work. They don't want me to go. My ZS manager has asked the persis manager to retain me OR remove the cooling period clause, ZS is ready to hire me as a permanent employee. I will be very happy is ZS takes me as Permanent employee. But will persistent remove cooling period clause? Persistent Systems Limited ZS
I have got offer letter from Cognizant, for gurgaon location, i am supposed to join as Blueprism RPA Developer, what are the chances of re locating to different location after getting into project, if possible can someone help me with number of open opportunities in cognizant for gurgaon location.
I don't want to re locate to a different location from gurgaon.
More Posts
Ares or Oaktree?
Who is at ROMBA?
Additional Posts in Data & Analytics Consultants
Back end or front end?
New to Fishbowl?
unlock all discussions on Fishbowl.
Tableau, Python, SQL (Oracle by default), SAS
+Trying to learn either Alteryx or Tableau Prep
@DA Learn Alteryx before Tableau Prep. Very few clients are using Tableau Prep since it's so new and has limited functionality. Once you have the basics of Alteryx down, Prep will be super easy to pick up.
Rmarkdown for exploratory analysis
tidyverse for data wrangling work
xgboost and caret for machine learning
for deep learning I switch to python
Deployment option varies, usually it's connect to some dashboard tool or excel. Rarely a rshiny app
What stack is used depends on what solutions your customer wants.. or else it will look like if you have a hammer everything is going to look like a nail...
So the question by itself faulted and incorrect..
I've never had a chance to have a stack. It changes with each engagement and I have to be flexible.
@K1 I disagree. Obviously every component is flexible and needs to be considered, but if you’re on a team with any kind of specialization then you will have preferred tools of the trade that you are familiar with.
Ours is typically something along the lines of:
- SciPy stack for analysis/machine learning
- Jupyter for interactive development and communication
- Spark/Hive for big structured data
- MongoDB for NoSQL stuff
- Matplotlib for viz (I know)
- Flask for serving models
- Docker for deployment and env management
Azure SQL, Power BI, R/Python
@slalom 1 The choice between Alteryx and Tableau Prep isn't up to me at this point
OP , is it meets the needs of the project certainly.. u misunderstood my comments.. if we know what type of tool then which vendor tool is a personal or client choice. I have seen many a times for example where the Hadoop stack being incorrectly used because either we want to sell that expertise or the client asks for it and we clearly know it is not the right tool. Another example is using Qlik or Tableau for enterprise reporting..
We are moving towards databricks with h2o for most analyses with a Tableau or Powerbi (the worst) front end. Being able to simplify on a few tools is helpful for us.
For some of our larger databases we are using athena. I've tried azure data lake analytics (too slow), mapd (fantastic as long as the data fits in memory), and bigquery (huge fan).
For more specialized analyses we have big VMs with tools like gurobi, Julia, etc on them. We will be setting up a R connect server to serve up smaller analyses.