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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.)
Business Analyst (Develops reports and runs queries on curated data)
Developer (Develops end user applications, some of which require access to curated data)
Hobbyist
Data scientist (Build custom ML Models for a given data set and business problem)
Academic Researcher
Data Engineer (Develops data processing pipelines and scripts to prepare and curate data from a variety of sources)
Other (please specify)
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2.
How would you describe your company?
(Required.)
Small-sized company (< 100 employees)
Freelancer, consultant, self-employed
None of the above (e.g. I am a student or hobbyist)
Medium-sized company (100 - 1000 employees)
Start-up
Large-sized company (> 1000 employees)
Other (please specify)
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3.
What language do you use for your application development?
(Required.)
SQL
Swift
C#
Java
.NET
Python
Julia
Node
Go
C++
JavaScript
R
VB
F#
Scala
PHP
Other (please specify)
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4.
What kind of apps are you building?
(Required.)
Games
None
Desktop
Cloud
Internet of Things
Web
Mobile
Other (please specify)
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5.
How would you describe your current usage of Big Data and Apache Spark?
(Required.)
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
Recently started developing Big Data solution (<6 months ago)
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)
Jupyter Notebooks or REPL environments
Integrated Development Environments (e.g. IntelliJ, Visual Studio, XCode, Spyder etc.)
Data Wrangling tools (e.g. Paxata, Trifacta)
ML tools (e.g. Azure ML, RapidMiner, Data Robot, Dataiku, H20.ai)
Data Ingestion Tools (Azure Data Factory, StreamSets, Talend, Oozie etc.)
Code Editors (e.g. Visual Studio Code, Sublime, Notepad, Vim etc.)
Data management tools (Azure Data Catalog, Waterline Data, Informatica, Apache Atlas etc.)
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 Spark
Microsoft Prose SDK
Presto
Azure Time Series Insights
Google Dataproc, BigQuery etc.
Amazon EMR etc.
Cloudera / Hortonworks
None -- I have not used Big Data
DataBricks
MongoDB
Azure EventHub (Kafka)
Azure HDInsight
AI Batch
Apache Hive
Apache Kafka
Azure Stream Analytics
Apache Hadoop
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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