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Remove unnecessary files #1991

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8 changes: 0 additions & 8 deletions connectors/AUTHORS

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74 changes: 0 additions & 74 deletions connectors/CONTRIBUTING.md

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# <img src="https://docs.delta.io/latest/_static/delta-lake-white.png" width="150" alt="Delta Lake Logo"></img> Connectors

[![Test](https://github.com/delta-io/connectors/actions/workflows/test.yaml/badge.svg)](https://github.com/delta-io/connectors/actions/workflows/test.yaml)
[![License](https://img.shields.io/badge/license-Apache%202-brightgreen.svg)](https://github.com/delta-io/connectors/blob/master/LICENSE.txt)

We are building connectors to bring [Delta Lake](https://delta.io) to popular big-data engines outside [Apache Spark](https://spark.apache.org) (e.g., [Apache Hive](https://hive.apache.org/), [Presto](https://prestodb.io/), [Apache Flink](https://flink.apache.org/)) and also to common reporting tools like [Microsoft Power BI](https://powerbi.microsoft.com/).

# Introduction

This is the repository for Delta Lake Connectors. It includes
- [Delta Standalone](https://docs.delta.io/latest/delta-standalone.html): a native library for reading and writing Delta Lake metadata.
- Connectors to popular big-data engines (e.g., [Apache Hive](https://hive.apache.org/), [Presto](https://prestodb.io/), [Apache Flink](https://flink.apache.org/)) and to common reporting tools like [Microsoft Power BI](https://powerbi.microsoft.com/).

Please refer to the main [Delta Lake](https://github.com/delta-io/delta) repository if you want to learn more about the Delta Lake project.

# API documentation

- Delta Standalone [Java API docs](https://delta-io.github.io/connectors/latest/delta-standalone/api/java/index.html)
- Flink/Delta Connector [Java API docs](https://delta-io.github.io/connectors/latest/delta-flink/api/java/index.html)

# Delta Standalone
## Delta Standalone

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This intro is not needed.
Ideally we should merge the content of this the main readme. we can do that later when we have refactored the dir structure to flatten all the connector dirs rather than keep everything under connectors/

Delta Standalone, formerly known as the Delta Standalone Reader (DSR), is a JVM library to read **and write** Delta tables. Unlike https://github.com/delta-io/delta, this project doesn't use Spark to read or write tables and it has only a few transitive dependencies. It can be used by any application that cannot use a Spark cluster.
- To compile the project, run `build/sbt standalone/compile`
Expand All @@ -27,9 +7,6 @@ Delta Standalone, formerly known as the Delta Standalone Reader (DSR), is a JVM

See [Delta Standalone](https://docs.delta.io/latest/delta-standalone.html) for detailed documentation.


# Connectors

## Hive Connector

Read Delta tables directly from Apache Hive using the [Hive Connector](/hive/README.md). See the dedicated [README.md](/hive/README.md) for more details.
Expand All @@ -45,23 +22,3 @@ Use the [Flink/Delta Connector](flink/README.md) to read and write Delta tables
## Power BI connector
The connector for [Microsoft Power BI](https://powerbi.microsoft.com/) is basically just a custom Power Query function that allows you to read a Delta table from any file-based [data source supported by Microsoft Power BI](https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-data-sources). Details can be found in the dedicated [README.md](/powerbi/README.md).

# Reporting issues

We use [GitHub Issues](https://github.com/delta-io/connectors/issues) to track community reported issues. You can also [contact](#community) the community for getting answers.

# Contributing

We welcome contributions to Delta Lake Connectors repository. We use [GitHub Pull Requests](https://github.com/delta-io/connectors/pulls) for accepting changes.

# Community

There are two mediums of communication within the Delta Lake community.

- Public Slack Channel
- [Register here](https://go.delta.io/slack)
- [Login here](https://delta-users.slack.com/)

- Public [Mailing list](https://groups.google.com/forum/#!forum/delta-users)

# Local Development & Testing
- Before local debugging of `standalone` tests in IntelliJ, run all `standalone` tests using SBT. This helps IntelliJ recognize the golden tables as class resources.
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