Update README.md

Adding one trillion rows query notebooks

Author: Amit Banerjee

samples/features/sql2019notebooks/README.md

@@ -21,6 +21,10 @@ The [What's New](https://docs.microsoft.com/sql/sql-server/what-s-new-in-sql-ser
 * **[Basic_ADR.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/accelerated-database-recovery/basic_adr.ipynb)** - In this notebook, you will see how fast long-running transaction rollback can now be with Accelerated Database Recovery. You will also see that a long active transaction does not affect the ability to truncate the transaction log.
 * **[Recovery_ADR.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/accelerated-database-recovery/recovery_adr.ipynb)** - In this example, you will see how Accelerated Database Recovery will speed up recovery.
 
+### SQL Server 2019 Querying 1 TRILLION rows
+* **[OneTrillionRowsWarm.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/sql2019notebooks/OneTrillionRowsWarm.ipynb)** - This notebook shows how SQL Server 2019 reads **9 BILLION rows/second** using a 1 trillion row table using a warm cache,
+* **[OneTrillionRowsCold.ipynb](https://github.com/microsoft/sql-server-samples/blob/master/samples/features/sql2019notebooks/OneTrillionRowsCold.ipynb)** - This notebook shows how SQL Server 2019 performs IO at **~24GB/s** using a 1 trillion row table with a cold cache.
+
 ### Big Data, Machine Learning & Data Virtualization
 * **[SQL Server Big Data Clusters](https://github.com/microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters/SQL2019BDC/notebooks)** - Part of our **[Ground to Cloud](https://aka.ms/sqlworkshops)** workshop. In this lab, you will use notebooks to experiment with SQL Server Big Data Clusters (BDC), and learn how you can use it to implement large-scale data processing and machine learning.
 * **[Data Virtualization using PolyBase](https://github.com/microsoft/sqlworkshops/tree/master/sql2019workshop/sql2019wks/08_DataVirtualization/sqldatahub)** - The notebooks in this SQL Server 2019 workshop cover how to use SQL Server as a hub for data virtualization for sources like [Oracle](https://github.com/microsoft/sqlworkshops/tree/master/sql2019lab/04_DataVirtualization/sqldatahub/oracle), [SAP HANA](https://github.com/microsoft/sqlworkshops/tree/master/sql2019lab/04_DataVirtualization/sqldatahub/saphana), [Azure CosmosDB](https://github.com/microsoft/sqlworkshops/tree/master/sql2019lab/04_DataVirtualization/sqldatahub/cosmosdb), [SQL Server](https://github.com/microsoft/sqlworkshops/tree/master/sql2019lab/04_DataVirtualization/sqldatahub/sql2008r2) and [Azure SQL Database](https://github.com/microsoft/sqlworkshops/tree/master/sql2019lab/04_DataVirtualization/sqldatahub/azuredb).