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)

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

Hobbyist

Academic Researcher

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

Other (please specify)

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* 2. How would you describe your company?

Medium-sized company (100 - 1000 employees)

Freelancer, consultant, self-employed

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

Small-sized company (< 100 employees)

Start-up

Large-sized company (> 1000 employees)

Other (please specify)

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

.NET

SQL

Node

JavaScript

C++

Julia

Java

Swift

Scala

Python

PHP

Other (please specify)

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* 4. What kind of apps are you building?

Mobile

Cloud

Desktop

Internet of Things

Web

None

Games

Other (please specify)

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

Actively developing and leveraging Big Data solutions

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

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.)

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

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

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

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

Jupyter Notebooks or REPL environments

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

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?

Apache Spark

Azure EventHub (Kafka)

Microsoft Prose SDK

MongoDB

Google Dataproc, BigQuery etc.

Azure Data Lake

Apache Hadoop

Cloudera / Hortonworks

AI Batch

None -- I have not used Big Data

Azure Time Series Insights

DataBricks

Amazon EMR etc.

Apache Kafka

Presto

Apache Hive

Azure HDInsight

Azure Stream Analytics

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