Combine the Roadmap / Quarterly Roadmap sections

docs/source/contributor-guide/roadmap.md

@@ -43,3 +43,84 @@ start a conversation using a github issue or the
 make review efficient and avoid surprises.
 
 [The current list of `EPIC`s can be found here](https://github.com/apache/datafusion/issues?q=is%3Aissue+is%3Aopen+epic).
+
+# Quarterly Roadmap
+
+A quarterly roadmap will be published to give the DataFusion community
+visibility into the priorities of the projects contributors. This roadmap is not
+binding and we would welcome any/all contributions to help keep this list up to
+date.
+
+## 2023 Q4
+
+- Improve data output (`COPY`, `INSERT` and DataFrame) output capability [#6569](https://github.com/apache/datafusion/issues/6569)
+- Implementation of `ARRAY` types and related functions [#6980](https://github.com/apache/datafusion/issues/6980)
+- Write an industrial paper about DataFusion for SIGMOD [#6782](https://github.com/apache/datafusion/issues/6782)
+
+## 2022 Q2
+
+### DataFusion Core
+
+- IO Improvements
+  - Reading, registering, and writing more file formats from both DataFrame API and SQL
+  - Additional options for IO including partitioning and metadata support
+- Work Scheduling
+  - Improve predictability, observability and performance of IO and CPU-bound work
+  - Develop a more explicit story for managing parallelism during plan execution
+- Memory Management
+  - Add more operators for memory limited execution
+- Performance
+  - Incorporate row-format into operators such as aggregate
+  - Add row-format benchmarks
+  - Explore JIT-compiling complex expressions
+  - Explore LLVM for JIT, with inline Rust functions as the primary goal
+  - Improve performance of Sort and Merge using Row Format / JIT expressions
+- Documentation
+  - General improvements to DataFusion website
+  - Publish design documents
+- Streaming
+  - Create `StreamProvider` trait
+
+### Ballista
+
+- Make production ready
+  - Shuffle file cleanup
+  - Fill functional gaps between DataFusion and Ballista
+  - Improve task scheduling and data exchange efficiency
+  - Better error handling
+    - Task failure
+    - Executor lost
+    - Schedule restart
+  - Improve monitoring and logging
+  - Auto scaling support
+- Support for multi-scheduler deployments. Initially for resiliency and fault tolerance but ultimately to support sharding for scalability and more efficient caching.
+- Executor deployment grouping based on resource allocation
+
+### Extensions ([datafusion-contrib](https://github.com/datafusion-contrib))
+
+### [DataFusion-Python](https://github.com/datafusion-contrib/datafusion-python)
+
+- Add missing functionality to DataFrame and SessionContext
+- Improve documentation
+
+### [DataFusion-S3](https://github.com/datafusion-contrib/datafusion-objectstore-s3)
+
+- Create Python bindings to use with datafusion-python
+
+### [DataFusion-Tui](https://github.com/datafusion-contrib/datafusion-tui)
+
+- Create multiple SQL editors
+- Expose more Context and query metadata
+- Support new data sources
+  - BigTable, HDFS, HTTP APIs
+
+### [DataFusion-BigTable](https://github.com/datafusion-contrib/datafusion-bigtable)
+
+- Python binding to use with datafusion-python
+- Timestamp range predicate pushdown
+- Multi-threaded partition aware execution
+- Production ready Rust SDK
+
+### [DataFusion-Streams](https://github.com/datafusion-contrib/datafusion-streams)
+
+- Create experimental implementation of `StreamProvider` trait

docs/source/index.rst

@@ -121,7 +121,6 @@ To get started, see
    contributor-guide/testing
    contributor-guide/howtos
    contributor-guide/roadmap
-   contributor-guide/quarterly_roadmap
    contributor-guide/governance
    contributor-guide/inviting
    contributor-guide/specification/index