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Help us shape the future of .NET for Apache Spark
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1.
Which of the following best describes your role?
(Required.)
Data scientist (Build custom ML Models for a given data set and business problem)
Developer (Develops end user applications, some of which require access to curated data)
Business Analyst (Develops reports and runs queries on curated data)
Academic Researcher
Data Engineer (Develops data processing pipelines and scripts to prepare and curate data from a variety of sources)
Hobbyist
Other (please specify)
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2.
How would you describe your company?
(Required.)
Medium-sized company (100 - 1000 employees)
Freelancer, consultant, self-employed
None of the above (e.g. I am a student or hobbyist)
Small-sized company (< 100 employees)
Large-sized company (> 1000 employees)
Start-up
Other (please specify)
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3.
What language do you use for your application development?
(Required.)
R
JavaScript
Node
Python
Scala
C#
Julia
SQL
VB
F#
PHP
Swift
C++
.NET
Go
Java
Other (please specify)
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4.
What kind of apps are you building?
(Required.)
None
Internet of Things
Mobile
Web
Games
Cloud
Desktop
Other (please specify)
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5.
How would you describe your current usage of Big Data and Apache Spark?
(Required.)
Recently started developing Big Data solution (<6 months ago)
Actively developing and leveraging Big Data solutions
Interested in learning about Big Data but have not actively developed any solutions
Not interested in Big Data
Other (please specify)
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6.
What tools do you use for building your Big Data and Apache Spark jobs?
(Required.)
SQL Editor (e.g. RedGate, JetBrains DataGrip, Azure DataStudio)
Integrated Development Environments (e.g. IntelliJ, Visual Studio, XCode, Spyder etc.)
ML tools (e.g. Azure ML, RapidMiner, Data Robot, Dataiku, H20.ai)
Code Editors (e.g. Visual Studio Code, Sublime, Notepad, Vim etc.)
Jupyter Notebooks or REPL environments
Data Ingestion Tools (Azure Data Factory, StreamSets, Talend, Oozie etc.)
Data management tools (Azure Data Catalog, Waterline Data, Informatica, Apache Atlas etc.)
Data Wrangling tools (e.g. Paxata, Trifacta)
Other (please specify)
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7.
Which frameworks, libraries and cloud services have you used for Big Data?
(Required.)
Azure Data Lake
Apache Hive
Apache Spark
Microsoft Prose SDK
Azure Stream Analytics
Azure Time Series Insights
Azure HDInsight
DataBricks
Google Dataproc, BigQuery etc.
Cloudera / Hortonworks
None -- I have not used Big Data
Apache Kafka
AI Batch
Amazon EMR etc.
Presto
Apache Hadoop
MongoDB
Azure EventHub (Kafka)
Other (please specify)
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8.
How best would you explain the use of Big Data in your organization (e.g. Data Warehousing, Real Time/Streaming solutions, Log Processing etc.)
(Required.)
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9.
Have you had a chance to play with .NET for Apache Spark? If so, how was your experience?
(Required.)
No
Yes
If Yes, please explain
Current Progress,
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