Help us shape the future of .NET for Apache Spark

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

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

Hobbyist

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

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)

Academic Researcher

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)

Medium-sized company (100 - 1000 employees)

Freelancer, consultant, self-employed

Large-sized company (> 1000 employees)

Small-sized company (< 100 employees)

Start-up

Other (please specify)

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

Node

JavaScript

PHP

.NET

Java

Swift

Python

C++

Scala

SQL

Julia

Other (please specify)

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* 4. What kind of apps are you building?

Desktop

Games

Internet of Things

Mobile

None

Web

Cloud

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

Actively developing and leveraging Big Data solutions

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

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?

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

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

Jupyter Notebooks or REPL environments

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

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

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.)

Other (please specify)

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

None -- I have not used Big Data

Apache Spark

Google Dataproc, BigQuery etc.

Apache Kafka

Azure Time Series Insights

Microsoft Prose SDK

Apache Hive

Azure HDInsight

Azure Data Lake

MongoDB

AI Batch

Presto

DataBricks

Cloudera / Hortonworks

Apache Hadoop

Azure Stream Analytics

Azure EventHub (Kafka)

Amazon EMR etc.

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