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

Hobbyist

Academic Researcher

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?

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

Large-sized company (> 1000 employees)

Medium-sized company (100 - 1000 employees)

Start-up

Small-sized company (< 100 employees)

Freelancer, consultant, self-employed

Other (please specify)

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

Scala

.NET

Java

Node

Python

JavaScript

Swift

PHP

C++

Julia

SQL

Other (please specify)

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* 4. What kind of apps are you building?

Web

None

Games

Mobile

Cloud

Internet of Things

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?

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

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.)

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

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

Jupyter Notebooks or REPL environments

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

Other (please specify)

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

Apache Spark

Azure EventHub (Kafka)

Azure Time Series Insights

Apache Hadoop

None -- I have not used Big Data

Cloudera / Hortonworks

Google Dataproc, BigQuery etc.

AI Batch

MongoDB

Amazon EMR etc.

Presto

Apache Kafka

Azure HDInsight

Azure Stream Analytics

DataBricks

Apache Hive

Azure Data Lake

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