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)

Academic Researcher

Hobbyist

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)

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?

Freelancer, consultant, self-employed

Small-sized company (< 100 employees)

Medium-sized company (100 - 1000 employees)

Start-up

Large-sized company (> 1000 employees)

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

Other (please specify)

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

Node

Python

Swift

JavaScript

Scala

Java

PHP

SQL

C++

.NET

Julia

Other (please specify)

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* 4. What kind of apps are you building?

Web

Cloud

Mobile

None

Games

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?

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?

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

Jupyter Notebooks or REPL environments

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

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

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

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

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?

Apache Hive

Apache Spark

Apache Hadoop

Microsoft Prose SDK

Amazon EMR etc.

Cloudera / Hortonworks

Azure HDInsight

MongoDB

DataBricks

Apache Kafka

Azure Time Series Insights

Presto

Azure Stream Analytics

AI Batch

Azure Data Lake

None -- I have not used Big Data

Google Dataproc, BigQuery etc.

Azure EventHub (Kafka)

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