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

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)

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)

Freelancer, consultant, self-employed

Start-up

Small-sized company (< 100 employees)

Medium-sized company (100 - 1000 employees)

Other (please specify)

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

SQL

Scala

Python

C++

JavaScript

Node

.NET

Java

Julia

Swift

PHP

Other (please specify)

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* 4. What kind of apps are you building?

Games

Cloud

Internet of Things

Web

None

Mobile

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

Actively developing and leveraging Big Data 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?

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

Jupyter Notebooks or REPL environments

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)

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

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

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

Other (please specify)

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

DataBricks

Cloudera / Hortonworks

None -- I have not used Big Data

Apache Hadoop

Azure EventHub (Kafka)

Google Dataproc, BigQuery etc.

Amazon EMR etc.

AI Batch

Azure Time Series Insights

Azure Data Lake

Apache Spark

Presto

Azure Stream Analytics

Apache Hive

MongoDB

Apache Kafka

Azure HDInsight

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