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)

Academic Researcher

Hobbyist

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

Data scientist (Build custom ML Models for a given data set and business problem)

Business Analyst (Develops reports and runs queries on curated data)

Other (please specify)

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* 2. How would you describe your company?

Freelancer, consultant, self-employed

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

Large-sized company (> 1000 employees)

Start-up

Medium-sized company (100 - 1000 employees)

Small-sized company (< 100 employees)

Other (please specify)

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

SQL

Node

Swift

Java

JavaScript

PHP

.NET

Python

Scala

Julia

C++

Other (please specify)

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* 4. What kind of apps are you building?

Desktop

Games

Mobile

Cloud

Internet of Things

Web

None

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

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

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

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?

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.)

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

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

Data management tools (Azure Data Catalog, Waterline Data, Informatica, Apache Atlas 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?

Microsoft Prose SDK

Apache Hive

Azure Stream Analytics

Presto

Cloudera / Hortonworks

Azure HDInsight

DataBricks

Apache Spark

MongoDB

Google Dataproc, BigQuery etc.

Apache Kafka

AI Batch

Azure Data Lake

Amazon EMR etc.

Apache Hadoop

Azure EventHub (Kafka)

None -- I have not used Big Data

Azure Time Series Insights

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