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