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)

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

Academic Researcher

Hobbyist

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

Other (please specify)

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* 2. How would you describe your company?

Start-up

Large-sized company (> 1000 employees)

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

Medium-sized company (100 - 1000 employees)

Freelancer, consultant, self-employed

Small-sized company (< 100 employees)

Other (please specify)

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

SQL

JavaScript

PHP

Python

Java

Swift

.NET

Julia

Scala

Node

C++

Other (please specify)

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* 4. What kind of apps are you building?

Games

Internet of Things

Mobile

None

Web

Cloud

Desktop

Other (please specify)

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

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

Not interested in Big Data

Actively developing and leveraging Big Data solutions

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

Other (please specify)

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* 6. What tools do you use for building your Big Data and Apache Spark jobs?

Jupyter Notebooks or REPL environments

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

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

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

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

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

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

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?

Azure Data Lake

Google Dataproc, BigQuery etc.

Apache Hive

Apache Spark

Azure EventHub (Kafka)

AI Batch

Presto

Azure HDInsight

Microsoft Prose SDK

MongoDB

None -- I have not used Big Data

Azure Stream Analytics

Cloudera / Hortonworks

Apache Kafka

Amazon EMR etc.

DataBricks

Azure Time Series Insights

Apache Hadoop

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