Help us shape the future of .NET for Apache Spark

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* 1. Which of the following best describes your role?

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)

Data Engineer (Develops data processing pipelines and scripts to prepare and curate data from a variety of sources)

Academic Researcher

Hobbyist

Other (please specify)

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* 2. How would you describe your company?

Start-up

None of the above (e.g. I am a student or hobbyist)

Medium-sized company (100 - 1000 employees)

Freelancer, consultant, self-employed

Large-sized company (> 1000 employees)

Small-sized company (< 100 employees)

Other (please specify)

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* 3. What language do you use for your application development?

Java

JavaScript

Scala

Python

SQL

Swift

C++

Node

Julia

PHP

.NET

Other (please specify)

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* 4. What kind of apps are you building?

Internet of Things

Web

Games

Cloud

None

Mobile

Desktop

Other (please specify)

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* 5. How would you describe your current usage of Big Data and Apache Spark?

Actively developing and leveraging Big Data solutions

Interested in learning about Big Data but have not actively developed any solutions

Recently started developing Big Data solution (<6 months ago)

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?

Code Editors (e.g. Visual Studio Code, Sublime, Notepad, Vim etc.)

Data Wrangling tools (e.g. Paxata, Trifacta)

SQL Editor (e.g. RedGate, JetBrains DataGrip, Azure DataStudio)

ML tools (e.g. Azure ML, RapidMiner, Data Robot, Dataiku, H20.ai)

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.)

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?

Azure Stream Analytics

AI Batch

MongoDB

Azure Time Series Insights

Microsoft Prose SDK

None -- I have not used Big Data

Apache Spark

Cloudera / Hortonworks

DataBricks

Azure Data Lake

Apache Hadoop

Presto

Amazon EMR etc.

Azure EventHub (Kafka)

Apache Hive

Google Dataproc, BigQuery etc.

Azure HDInsight

Apache 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.)

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* 9. Have you had a chance to play with .NET for Apache Spark? If so, how was your experience?

Yes

If Yes, please explain