Help us shape the future of .NET for Apache Spark

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

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

Developer (Develops end user applications, some of which require access to curated data)

Hobbyist

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

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

Academic Researcher

Other (please specify)

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* 2. How would you describe your company?

Freelancer, consultant, self-employed

Medium-sized company (100 - 1000 employees)

Start-up

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

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?

Swift

JavaScript

Java

.NET

Python

SQL

Scala

C++

Node

PHP

Julia

Other (please specify)

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* 4. What kind of apps are you building?

Games

Cloud

None

Mobile

Web

Desktop

Internet of Things

Other (please specify)

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

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

Not interested in Big Data

Actively developing and leveraging Big Data solutions

Interested in learning about Big Data but have not actively developed any 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 Ingestion Tools (Azure Data Factory, StreamSets, Talend, Oozie etc.)

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

Jupyter Notebooks or REPL environments

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

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

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

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

Other (please specify)

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* 7. Which frameworks, libraries and cloud services have you used for Big Data?

Azure HDInsight

Azure Stream Analytics

MongoDB

DataBricks

Azure EventHub (Kafka)

None -- I have not used Big Data

AI Batch

Apache Kafka

Apache Hive

Azure Time Series Insights

Amazon EMR etc.

Apache Spark

Microsoft Prose SDK

Apache Hadoop

Cloudera / Hortonworks

Azure Data Lake

Google Dataproc, BigQuery etc.

Presto

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