Help us shape the future of .NET for Apache Spark

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

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

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?

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)

Start-up

Large-sized company (> 1000 employees)

Other (please specify)

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

SQL

.NET

Python

Scala

Node

Swift

PHP

JavaScript

Java

Julia

C++

Other (please specify)

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* 4. What kind of apps are you building?

Desktop

Games

Web

Mobile

None

Cloud

Internet of Things

Other (please specify)

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

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?

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

Data Ingestion Tools (Azure Data Factory, StreamSets, Talend, Oozie etc.)

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

Integrated Development Environments (e.g. IntelliJ, Visual Studio, XCode, Spyder etc.)

Data management tools (Azure Data Catalog, Waterline Data, Informatica, Apache Atlas etc.)

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

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

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?

AI Batch

Apache Kafka

Azure EventHub (Kafka)

Amazon EMR etc.

Azure HDInsight

Apache Spark

Azure Stream Analytics

Google Dataproc, BigQuery etc.

Azure Time Series Insights

MongoDB

Azure Data Lake

Apache Hadoop

Apache Hive

None -- I have not used Big Data

DataBricks

Presto

Cloudera / Hortonworks

Microsoft Prose SDK

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