Readme updates

README.md

@@ -11,6 +11,7 @@ Capillaries is a data processing framework that:
 
 |             | BEFORE | AFTER |
 | ----------- | ------ |------ |
+| Cloud-friendly | depends | Can be deployed to the cloud within minutes, Docker-ready |
 | Data aggregation | SQL joins | Capillaries [lookups](doc/glossary.md#lookup) in Cassandra + [Go expressions](doc/glossary.md#go-expressions) (scalability, parallel execution) |
 | Data filtering | SQL queries, custom code | [Go expressions](doc/glossary.md#go-expressions) (scalability, maintainability) |
 | Data transform | SQL expressions, custom code | [Go expressions](doc/glossary.md#go-expressions), Python [formulas](doc/glossary.md#py_calc-processor) (parallel execution, maintainability) |

doc/qna.md

@@ -105,11 +105,11 @@ A. Here are some, in no particular order:
 
 1. Performance enhancements, espcecially those related to the efficient use of Cassandra.
 
-2. Read/write from/to other file formats, maybe databases.
+2. Read/write from/to other file formats, maybe databases. Update 2023: Apache Parquet support was added.
 
 3. Creating node configuration is a tedious job. Consider adding a toolbelt command that takes a CSV file as an input and generates JSON for a corresponding file_table/table_file node. Update 2023: done, see [proto_file_reader_creator test](../test/code/proto_file_reader_creator/README.md).
 
-4. Is the lack of NULL support a deal-breaker?
+4. Is the lack of NULL vsalues support a deal-breaker? Update March 2024: support for *_if aggregate functions was added, it should help mitigate the lack of NULL support.
 
 5. Need a strategy to mitigate potential security threats introduced by py_calc. SELinux/AppArmor?