Help us shape the future of .NET for Apache Spark

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

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

Hobbyist

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

Academic Researcher

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?

Small-sized company (< 100 employees)

Large-sized company (> 1000 employees)

Start-up

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

Freelancer, consultant, self-employed

Medium-sized company (100 - 1000 employees)

Other (please specify)

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

JavaScript

Julia

Python

.NET

Java

PHP

Node

Scala

C++

SQL

Swift

Other (please specify)

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* 4. What kind of apps are you building?

Mobile

Cloud

None

Games

Desktop

Internet of Things

Web

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

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

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

Actively developing and leveraging Big Data 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.)

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

Jupyter Notebooks or REPL environments

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

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

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

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

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

Other (please specify)

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

Azure HDInsight

AI Batch

Google Dataproc, BigQuery etc.

Azure Data Lake

Amazon EMR etc.

DataBricks

Apache Hadoop

Apache Spark

MongoDB

Azure EventHub (Kafka)

Microsoft Prose SDK

Presto

Apache Kafka

None -- I have not used Big Data

Azure Stream Analytics

Apache Hive

Azure Time Series Insights

Cloudera / Hortonworks

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