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

Academic Researcher

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

Developer (Develops end user applications, some of which require access to curated data)

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

Other (please specify)

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* 2. How would you describe your company?

Freelancer, consultant, self-employed

Large-sized company (> 1000 employees)

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

Small-sized company (< 100 employees)

Start-up

Medium-sized company (100 - 1000 employees)

Other (please specify)

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

JavaScript

C++

Julia

Java

Node

.NET

Python

SQL

Swift

PHP

Scala

Other (please specify)

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* 4. What kind of apps are you building?

Games

Mobile

None

Desktop

Web

Cloud

Internet of Things

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?

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

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

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

Jupyter Notebooks or REPL environments

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 Wrangling tools (e.g. Paxata, Trifacta)

Other (please specify)

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

Microsoft Prose SDK

Google Dataproc, BigQuery etc.

Azure EventHub (Kafka)

MongoDB

None -- I have not used Big Data

Apache Hive

Azure Stream Analytics

Azure Data Lake

Apache Spark

Apache Kafka

Presto

Cloudera / Hortonworks

Azure HDInsight

AI Batch

Amazon EMR etc.

DataBricks

Apache Hadoop

Azure Time Series Insights

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