understand Presto • Get a walk-through of creating a new cluster using Ahana • Query data sitting in S3 using Presto • Convert data to different Formats Using Presto • Get a walk-through of enabling Apache Ranger for Presto • Run SQL query to explore Ranger policies • Run federated queries/joins across multiple sources combining data in S3 and RDS/MYSQL Objective for Today 3
engine • Query in Place • Federated Querying • ANSI SQL Compliant • Designed ground up for fast analytic queries against data of any size • Originally developed at Facebook • Proven on petabytes of data • SQL-On-Anything • Federated pluggable architecture to support many connector • Opensource, hosted under Linux Foundation • https://github.com/prestodb 6
Easy scale up and scale down • Scale up to 1000 workers • Validated at web scale companies New Worker New Worker Worker Worker Worker Coordinator Data Source Presto Cluster 13 Coordinator
Data Location API Data Shuffle Data Shuffle Presto Connector Presto Coordinator BI Tools/Notebooks/Clients Presto CLI Looker JDBC Superset ... Tableau Jupyter Result Sets SQL Any Database, Data Stream, or Storage HDFS Object Stores (S3) MySQL ElasticSearch Kafka ... Presto Connector Presto Connector 14
source. • Example: HDFS, AWS S3, Cassandra, MySQL, SQL Server, Kafka • Catalog: Contains schemas from a data source specified by the connector • Schemas: Namespace to organize tables. • Tables: Set of unordered rows organized into columns with types. 16
CONSOLIDATED LOGGING SECURITY & ACCESS BILLING & SUPPORT In-VPC Presto Clusters (Compute Plane) AD HOC CLUSTER 1 TEST CLUSTER 2 PROD CLUSTER N Glue S3 RDS Elasticsearch Ahana Cloud Account Ahana console oversees and manages every Presto cluster Customer Cloud Account In-VPC orchestration of Presto clusters, where metadata, monitoring, and data sources reside
proven scalability • Interactive ANSI SQL queries • Query data where it lives with Federated Connectors (no ETL) • High concurrency • Separation of compute and storage • Cost Management Features 21
• Centralized, fine-grained access control with column-level, row-level policies across all clusters • Supports centralized auditing of user access • Secured with SSL Support • Simplified integration with Ahana Cloud • Enable, monitor and manage comprehensive data security across data lake for the user-triggered Hive or Glue Catalog Queries 24
and Ahana Cloud 2. How to effortlessly created and managed Presto clusters 3. Run fast SQL federated queries combining datasets from S3 and MySQL 4. Run presto queries with Apache Ranger enabled 28
queries with more/less workers; how does performance change? 3. Fine grained access control with Lake Formation 4. Table formats for transactions, schema evolution, table versioning with Apache Hudi, Apache Iceberg, Delta Lake Connector Things to try later... 29
prestodb.slack.com Write a blog for prestodb.io! prestodb.io/blog Join the virtual meetup group & present! meetup.com/prestodb Contribute to the project! github.com/prestodb 31