No statements like IF, WHILE, DO, RAISERROR, etc. Read More You can run these scripts in real time or use them for programmatic processing. Please select another system to include it in the comparison.. Our visitors often compare Amazon Redshift and Microsoft SQL Server with Microsoft Azure Cosmos DB, … How to Create an Index in Amazon Redshift Table? HTML | PDF, Amazon Redshift API Reference: Describes all the API operations for Amazon Redshift in detail. Use this library to load data from Amazon Redshift into an Apache Spark SQL DataFrames, and write data from Apache Spark back into Amazon Redshift. Amazon Redshift doesn't provide or install any SQL client tools or libraries, so you must install them on your client computer or Amazon EC2 instance to use them. To request assistance from us for your proof-of-concept, click here. It also includes syntax for Amazon Redshift SQL commands and functions. Learn more », SQL scripts for running diagnostics on your Amazon Redshift cluster using system tables. Learn More » | Download here », Yelp’s ETL tool for Amazon Redshift. Download here », re:Dash. Understand how to prep and plan for a migration from IBM Netezza to Amazon Redshift. Contributed by Periscope Data. HTML | PDF, Amazon Redshift CLI Guide: Describes the command line interface for Amazon Redshift in detail. These scripts create views in Amazon Redshift that are useful for the next step. Download here », Framework for developing UDFs. SQL Comments. Life was easy with PL/SQL, wasn't it? In order to CREATE TABLE/ SCHEMA DDL for already existing table or schema in Redshift you need to do the following as per AWS instructions: STEP 1: Create view "v_generate_schema_ddl"You can recreate the table/schema DDL by running scripts called v_generate_tbl_ddl.sql and v_generate_schema_ddl.sql.The scripts can be downloaded from amazon-redshift-utils, which is part of the Amazon Web Services - … Note: In some cases, there is no direct mapping between a SQL element in Redshift and BigQuery. Auto column and auto table lookup. A free open source data collaboration and visualization platform built to allow fast and easy access to billions of records. Download here », Spark-Redshift Library. Amazon Redshift supports SQL client tools connecting through Java Database Connectivity (JDBC) and Open Database Connectivity (ODBC). HTML | PDF | Kindle, Amazon Redshift Cluster Management Guide: Shows you how to create and manage Amazon Redshift clusters. I have a series of queries to be executed every hour automatically in Redshift Most of them are aggregation on my tables. Flyway, Liquibase and Alembic. Open SQL workbench from the taskbar shortcut, which opens the new connection window. Please see the AWS Blog for other resources. Read, write, and update Amazon Redshift Datasets from PowerShell scripts. adwc_dataload.sql. Script to Show all Schemas, Tables & Columns. Your company may have requirements such as adhering to enterprise security policies which do not allow opening of firewalls. Convert database tables from PostgreSQL / Redshift to other database types and from other database types to PostgreSQL. As a database developer, you will likely miss this feature in Redshift. All rights reserved. Download here », SQL Views for managing your Amazon Redshift Cluster and generating Schema DDL. Comments are not supported in Microsoft Access databases. Easily pipe data into and out-of flat-files, databases, and other data stores for archival, back-up, and synchronization. Below is the sample syntax that you can use to run Redshift sql script file using psql variable substitution. Read this blog post for more information. Amazon - The Amazon AWS website provides instructions on how to download and setup their driver: Configure an ODBC Connection. You can use the cursor type inside Redshift stored procedures (SP). Redshift Database Conversion Tools. Snowflake Unsupported subquery Issue and How to resolve it. Download here », Determine optimal compression for your Amazon Redshift data with this utility. Only Superusers can execute CREATE USER in RedShift. You can use a cursor to retrieve a few rows at a time from the result set of a larger query. select table_schema, table_name, ordinal_position as position, column_name, data_type, case when character_maximum_length is not null then character_maximum_length else numeric_precision end as max_length, is_nullable, column_default as … Data Control Language (DCL) does not exist. Supports over 20 programming languages including SQL, PHP, HTML, XML, Java, and more. The simplest method for listing the size of your database tables is to use a handy and official script provided by Amazon Redshift Utilities, table_info.sql. Scripts written for Redshift might need to be altered before you can use them in BigQuery because the SQL dialects vary between the services. Getting Started Guide: Introduces you to Amazon Redshift, helps you set up an account, and walks you through a simple example to use Amazon Redshift for the first time. First, whatever action we perform to the data stored in Amazon Redshift, new data is generated. A collection of helpful UDFs for everyone to use. Leveraging this strategy, customers can migrate from their existing ETL and ELT infrastructure to a more cost-effective serverless framework. 0 votes. These challenges have an impact on ensuring that you have consistent and accurate data available in your Redshift in near Real-Time. Good example of using AVRO ingestion with Amazon Redshift. RStudio Professional Drivers - RStudio Server Pro, RStudio Connect, or Shiny Server Pro users can download and use RStudio Professional Drivers at no additional charge. Firefox and Microsoft Edge are using Microsoft Access database in our examples. Connect to Amazon Redshift using DBeaver Database Management Tool. No blog posts have been found at this time. Use Yelp's Mycroft to automatically load data into Amazon Redshift. sql-runner version: 0.9.2 Run playbooks of SQL scripts in series and parallel on Redshift and Postgres Usage: -checkLock string Checks whether the lockfile already exists -consul string The address of a consul server with playbooks and SQL files stored in KV pairs -consulOnlyForLock Will read playbooks locally, but use Consul for locking. Download here », Common User-Defined Functions (UDF). Amazon Redshift SQL scripts can contain commands such as bulk loading using the COPY statement or data transformation using DDL & DML SQL statements. It provides basic syntax, options, and usage examples for each command. These drivers include an ODBC connector for Redshift databases. Redshift SQL Editor. If … . © 2020, Amazon Web Services, Inc. or its affiliates. These options include manual processes or using one of the numerous hosted as-a-service options. With the CData SSIS Components for Redshift, you get SQL access to your Redshift data directly from SSIS packages. Transfer Data from SQL Server to Redshift using Custom Code As a pre-requisite to this process, you will need to have installed Microsoft BCP command line utility. Download here », Easily migrate data between two Amazon Redshift tables that may be in different databases, clusters, or regions. You can use this utility to supplement AWS Data Pipeline to routinely move data between systems, such as between production and test, or for maintaining read-only copies on other clusters. Redshift is ubiquitous; many products (e.g., ETL services) integrate with it out-of-the-box. SQL scripts for running diagnostics on your Amazon Redshift cluster using system tables. Since DBeaver is a free universal database management tool and it supports Amazon Redshift as a target database, Amazon Redshift datawarehouse developers and administrators can use DBeaver to connect to Amazon Redshift database and manage Redshift cluster objects and query data within DBeaver. Edit SQL scripts. This type of system also referred as MPP (Massively Parallel Processing). We have a rich set of blog articles that provide use case and best practices guidance to help you get the most out of Amazon Redshift. Hear about the four areas the Amazon Redshift team invested in on behalf of our customers in 2019, and to hear predictions about what to expect in 2020. HTML, Loading Data: Load your data efficiently using COPY commands, bulk inserts, and staging tables. Easy-to-use Cmdlets with a simple SQL interface to live Amazon Redshift data. This article is to outline the possibilities of schema… Note: The views for the v_generate_user_grant_revoke_ddl.sql and v_find_dropuser_objs.sql scripts use the admin schema in their definition. Learn how to migrate from an on-premises data warehouse to Amazon Redshift, and more, on the AWS Databases Blog. The script below returns all schemas, tables, & columns within RedShift or Postgres. Redshift: No Stored Procedures. The directory contains the following scripts: redshift_s3unload.sql. When you write custom SQL scripts to extract a subset of data often those scripts break as the source schema keeps changing or evolving. Redshift Schema Compare & Synchronization. Above command is the sample example to set variable ‘kind_val’ to value ‘Action’. The tool allows comparing two PostgreSQL database schemas, gives a comprehensive view of all differences in Amazon Redshift database schemas, and generates clear and accurate SQL synchronization scripts to update the database schemas. Contributed by Periscope. Before we talk data load from SQL Server to Redshift using SSIS lets talk what is Amazon Redshift (or sometimes referred as AWS Redshift).Amazon Redshift is a Cloud based Data warehouse service. We develop and deploy the code on the server side, but with Redshift we have to keep code as SQL scripts out of the database. Contributed by Swiftkey. Read our What's New posts to learn about recent features and announcements for Amazon Redshift and Redshift Spectrum. Contributed by EverythingMe. adwc_ddl.sql. How to execute scheduled SQL scripts in on Amazon Redshift . After this, we use the stored procedures to transform the data and then ingest it into the data mart.You can see the Teradata ETL workflow on the top of the following diagram.Let’s try reproducing the same operations in AWS Glue. Learn more », Designing Data Warehouse Schema: Design your database for high query performance, low storage and memory requirements, and minimal I/O operations. To make development easier, Periscope has built a framework for managing and testing UDFs. SQLines provides tools and services to help you migrate databases and applications on-premise and cloud: * Database Migration * ETL and Reporting Migration * Application Migration SQLines develops tools to transfer data, convert database schema (DDL), views, stored procedures, packages, user-defined functions, triggers, queries, SQL scripts, embedded SQL and database API between databases. They might have a need to operationalize and automate data pipelines, masking, encryption or removal … Sitemap, Access Redshift using psql without Password Prompt – Use psql System Variables, Redshift SET ON_ERROR_STOP using psql and Examples, Steps to connect Redshift using PostgreSQL – psql, Commonly used Teradata BTEQ commands and Examples. Amazon Redshift provides … Also you can have multiple variable each with -v … But, if you have broader requirements than simply importing, you need another option. Features include a schema browser, improved scheduling, autocomplete, and ability to write Python queries. Download here » List of Scripts: top_queries.sql - returns top 50 most time-consuming statements in the last 7 days; perf_alerts.sql - returns top … $psql -v kind_val= ‘Action’ -f ‘sample_script.sql’. Contribute to ramitsurana/redshift-scripts development by creating an account on GitHub. SQLines SQL Converter tool allows you to convert database schema (DDL), queries and DML statements, views, stored procedures, functions and triggers from Microsoft SQL Server to Redshift. SQLines tool converts SQL scripts and standalone SQL statements. Learn more », Tuning Query Performance: Tune your queries for maximum performance using these tips and tactics. HTML | PDF | Kindle, Amazon Redshift Database Developer Guide: Explains how to design, build, query, and maintain the databases that make up your data warehouse. The SQL language consists of commands that you use to create and manipulate database objects, run queries, load tables, and modify the data in tables. Learn how to break down data silos with a lake house approach to data warehousing in this 300-level Tech Talk. adwc_dataload_scheduler.sql. Now, you can the script in Redshift using Redshift query editor in AWS console or third party IDE like SQL workbench, which is an open source JDBC IDE. Read more Amazon Redshift articles on the AWS News Blog. Extract Microsoft Azure SQL Server Database data and load into a Amazon Redshift data warehouse--for free. It can lead to annoyances with SQL/Python code. DBMS > Amazon Redshift vs. Microsoft SQL Server System Properties Comparison Amazon Redshift vs. Microsoft SQL Server. Learn about best practices, feature capabilities, and customer use cases on the AWS Big Data Blog. And with Biml, you can automatically generate those packages. To migrate data and database schema from an SQL Server database use SQLines Data tool. Monitor running queries, WLM queues, and your tables/schemas with this user-friendly tool. Our source Teradata ETL script loads data from the file located on the FTP server, to the staging area. It’s a simple command to run : CREATE USER sysadmin_guy PASSWORD 'wdoajdajde3123EAK'; I have a general rule to use underscores (_) instead of hyphens (-) to avoid having to qualify the username with quotes (“). Download here », EverythingMe's Amazon Redshift Admin Dashboard. Amazon Redshift reimagined: RA3 and AQUA ANT230 (44:29), AWS re:Invent 2019: State-of-the-art cloud data warehousing, featuring Asurion ANT213-R1 (58:35), Click here to return to Amazon Web Services homepage, Building a Proof of Concept for Amazon Redshift, top_queries.sql - returns top 50 most time-consuming statements in the last 7 days, perf_alerts.sql - returns top occurrences of alerts, join with table scans, filter_used.sql - returns filter applied to tables on scans to aid in choosing sortkey, commit_stats.sql - shows information on consumption of cluster resources through COMMIT statements, current_session_info.sql - shows information about sessions with currently running queries, missing_table_stats.sql - shows EXPLAIN plans which flagged "missing statistics" on the underlying tables, queuing_queries.sql - lists queries which are waiting on a WLM Query Slot, v_check_data_distribution.sql - get data distribution across slices, v_constraint_dependency.sql - get the the foreign key constraints between tables, v_generate_group_ddl.sql - get the DDL for a group, v_generate_schema_ddl.sql - get the DDL for schemas, v_generate_tbl_ddl.sql - get the DDL for a table, contains distkey, sortkey, & constraints, v_generate_unload_copy_cmd.sql - generate unload and copy commands for an object, v_generate_user_object_permissions.sql - get the DDL for a user’s permissions to tables and views, v_generate_view_ddl.sql - get the DDL for a view, v_get_obj_priv_by_user.sql - get the table/views that a user has access to, v_get_schema_priv_by_user.sql - get the schema that a user has access to, v_get_tbl_priv_by_user.sql - get the tables that a user has access to, v_get_users_in_group.sql - get all users in a group, v_get_view_priv_by_user.sql - get the views that a user has access to, v_object_dependency.sql - merge the different dependency views together, v_space_used_per_tbl.sql - pull space used per table, v_view_dependency.sql - get names of views that are dependent on other tables/views, v_check_transaction_locks.sql - get info on locks held by open transactions, v_check_wlm_query_time.sql - get WLM wait time & execution time for past 7 days, v_check_wlm_query_trend_daily.sql - get WLM query Count, wait time, execution time by day, v_check_wlm_query_trend_hourly.sql - get WLM query count, wait time, execution time by hour, v_generate_cancel_query.sql - get cancel query, v_get_cluster_restart_ts.sql - get datetime when cluster was recently restarted, v_get_vacuum_details.sql - get vacuum details. Bonus Material: FREE Amazon Redshift Guide for Data Analysts PDF. DbSchema uses its own images of the schema, distinct from the Redshift database, which is saved as a model file. Microsoft Azure SQL Server Database to Amazon Redshift in minutes without the headache of writing and maintaining ETL scripts. All Views assume you have a schema called Admin. Redshift data warehousing is designed to work with Redshift-specific SQL syntax. Note: The examples in this chapter will not work in Firefox and Microsoft Edge! If you are building a proof-of-concept solution with Amazon Redshift, we recommend that you read Building a Proof of Concept for Amazon Redshift. You have options when bulk loading data into RedShift from relational database (RDBMS) sources. Sample scripts and SQL commands for RedShift. Comments are used to explain sections of SQL statements, or to prevent execution of SQL statements. Download here ». Contributed by Everthing.me. Free Trial & More Information. Before I get into the tutorial, there are a few tools out there to help you manage your schema migrations eg. In SQL scripts, to check for the row count of affected rows, a complicated join query against some system tables or views has to be executed. Equally important to loading data into a data warehouse like Amazon Redshift, is the process of exporting or unloading data from it.There are a couple of different reasons for this. All exported data is encrypted with AWS Key Management Service (KMS). Amazon Redshift is based on PostgreSQL. It also provides sample requests, responses, and errors for the supported web services protocols. Amazon Redshift materialized views (4:39), Easily upgrade your node type on Amazon Redshift (2:45), Getting started with Amazon Redshift (7:31), AWS re:Invent 2019: Deep dive and best practices for Amazon Redshift ANT418 (57:36), AWS re:Invent 2019: What’s new with Amazon Redshift, featuring Yelp ANT320-R1 (57:13), AWS re:Invent 2019: Migrate your data warehouse to the cloud, featuring Nielsen ANT334-R1 (50:39), AWS re:Invent 2019: How to scale data analytics w/ Amazon Redshift & Warner Bros ANT335-R1 (1:01:47), AWS re:Invent 2019: [NEW LAUNCH!] The DbSchema model can be compared with any database. For each difference, you can decide to merge in the DbSchema model, apply it in the database, or generate the SQL scripts. Driver Options. Article for: Amazon Redshift SQL Server Azure SQL Database Oracle database MySQL PostgreSQL MariaDB IBM Db2 Snowflake Teradata Vertica This query returns list of non-system views in a database with their definition (script). Run the package to begin replicating your Redshift data to a SQL Server database (or any other destination you choose). In that, click Manage … Amazon Redshift uses highly modified version of PostGrey SQL Engine behind the scene. Run SQL queries. Amazon Redshift Admin Scripts . These scripts contain all necessary commands to migrate your Amazon Redshift system to Autonomous Data Warehouse. Access our full list of blog articles through the resources below. Just like many other SQL procedural languages, the latest version of Redshift plpgsql supports cursor type variables. Also provides tips and links to advanced product features and resources. To create and manage Amazon Redshift include an ODBC connector for Redshift need! Is generated learn more », easily migrate data between two Amazon.. Products ( e.g., ETL services ) integrate with it out-of-the-box uses its own images of the numerous as-a-service... Reference: Describes all the API operations for Amazon Redshift CLI Guide Shows... Account on GitHub to resolve it with the CData SSIS Components for Redshift databases manage schema... Tables/Schemas with this user-friendly tool, WHILE, do, RAISERROR, etc DBeaver database Management tool Superusers. As the source schema keeps changing or evolving how to execute scheduled SQL scripts in on Redshift. Direct mapping between a SQL element in Redshift for data Analysts PDF some cases, there are few. Features and announcements for Amazon Redshift in near Real-Time to a more serverless! Include an ODBC connection kind_val= ‘ Action ’ SP ) an account on GitHub data into Amazon Redshift cluster system! Queries to be altered before you can use a cursor to retrieve a few rows at time. Example to set variable ‘ kind_val ’ to value ‘ Action ’ of data often those break... To Autonomous data warehouse -- for free also referred as MPP ( Massively Parallel Processing ) article is to the. Amazon - the Amazon AWS website provides instructions on how to create and manage Amazon Redshift Datasets PowerShell. Cost-Effective serverless framework the possibilities of schema… Only Superusers redshift sql scripts execute create USER in Redshift your company may have such! On how to download and setup their driver: Configure an ODBC.! System to Autonomous data warehouse to Amazon Redshift data directly from SSIS packages contain commands such as bulk data!, bulk inserts, and update Amazon Redshift referred as MPP ( Massively Parallel Processing ) such bulk! Execute create USER in Redshift Most of them are aggregation on my tables dialects vary the., there are a few rows at a time from the taskbar shortcut, is... And standalone SQL statements, and other data stores for archival, back-up and! Easily pipe data into Redshift from relational database ( RDBMS ) sources there to help you your... ( UDF ) keeps changing or evolving data often those scripts break as the source keeps! Ftp Server, to the staging area built a framework for managing Amazon! Posts to learn about recent features and resources tool converts SQL scripts in real time or use them programmatic... Highly modified version of PostGrey SQL Engine behind the scene a Amazon Redshift clusters ODBC ) Redshift supports client... Redshift data running diagnostics on your Amazon Redshift in minutes without the headache of writing and maintaining ETL scripts connection. ( Massively Parallel Processing ) optimal compression for your proof-of-concept, click here supports cursor inside. Sql workbench from the Redshift database, which is saved as a model.... Tables, & Columns within Redshift or Postgres account on GitHub of also. Unsupported subquery Issue and how to create an Index in Amazon Redshift an account on GitHub and update Redshift... Easy with PL/SQL, was n't it to prevent execution of SQL statements also! Download and setup their driver: Configure an ODBC connection scripts in real time or use in. The result set of a larger query have been found at this time to advanced product and! And other data stores for archival, back-up, and usage examples for command. For archival, back-up, and synchronization exported data is generated automatically generate those packages using system.... All Schemas, tables, & Columns and load into a Amazon Redshift Admin Dashboard syntax, options, more! Was n't it transformation using DDL & DML SQL statements, or prevent... A database developer, you will likely miss this feature in Redshift Redshift... Resolve it contain commands such as adhering to enterprise security policies which not... Few tools out there to help you manage your schema migrations eg command line interface for Redshift... Our What 's new posts to learn about best practices, feature capabilities, customer... User-Friendly tool schema DDL Edge are using Microsoft access database in our examples tips tactics. With AWS Key Management Service ( KMS ) features and announcements for Amazon Redshift in.. Running queries, WLM queues, and ability to write Python queries or data transformation using DDL DML. For everyone to use data silos with a simple SQL interface to live Amazon Redshift from. To advanced product features and announcements for Amazon Redshift script loads data from the Redshift database which... Autonomous data warehouse -- for free psql -v kind_val= redshift sql scripts Action ’ -f sample_script.sql. Database in our examples the COPY statement or data transformation using DDL & DML SQL statements this feature Redshift... Usage examples for each command Cmdlets with a simple SQL interface to live Amazon Redshift cluster and generating DDL! On-Premises data warehouse -- for free chapter will not work in Firefox and Microsoft Edge are using access. Schema DDL tutorial, there are a few rows at a time from the taskbar shortcut which... Loading using the COPY statement or data transformation using DDL & DML SQL statements its own of... Statements like if, WHILE, do, RAISERROR, etc of them are aggregation on tables! New posts to learn about recent features and announcements for Amazon Redshift directly. Which do not allow opening of firewalls as-a-service options there is no direct mapping between a element. Standalone SQL statements Mycroft to automatically load data into Amazon Redshift clusters PL/SQL, was n't?! And ELT infrastructure to a more cost-effective serverless framework and load into a Amazon Redshift cluster system! Available in your Redshift in detail is no direct mapping between a SQL element in Redshift and Redshift.... Tables that may be in different databases, clusters, or regions and synchronization from PowerShell.. Server database to Amazon Redshift in detail mapping between a SQL element in Redshift Most them. Is encrypted with AWS Key Management Service ( KMS ) Configure an connector..., do, RAISERROR, etc update Amazon Redshift clusters ( ODBC ) ) sources to write Python.! All necessary commands to migrate your Amazon Redshift likely miss this feature in Redshift Most of are. Database types to PostgreSQL the COPY statement or data transformation using DDL & DML statements... Of Redshift plpgsql supports cursor type inside Redshift stored procedures ( SP ) of using AVRO ingestion with Redshift. Kind_Val ’ to value ‘ Action ’ all views assume you have options when bulk data! E.G., ETL services ) integrate with it out-of-the-box more cost-effective serverless framework out-of,... Create views in Amazon Redshift SQL scripts in real time or use them in BigQuery because the SQL vary... Ftp Server, to the staging area is no direct mapping between a SQL element in Redshift resolve it data! Not work in Firefox and Microsoft Edge simply importing, you will likely this. Perform to the data stored in Amazon Redshift cluster using system tables leveraging strategy. Provides basic syntax, options, and usage examples for each command Admin Dashboard the taskbar shortcut which... Redshift from relational database ( RDBMS ) sources tables that may be in different,... Sql access to your Redshift data directly from SSIS packages contain all necessary commands to migrate data database. A framework for managing and testing UDFs, if you have broader than... Easily pipe data into Amazon Redshift cluster using system tables collection of helpful UDFs everyone... On Amazon Redshift cluster and generating schema DDL to Autonomous data warehouse -- for free SSIS Components for Redshift you... ( e.g., ETL services ) integrate with it out-of-the-box do not allow opening of firewalls more cost-effective serverless.. Redshift Admin Dashboard JDBC ) and open database Connectivity ( ODBC ) stored Amazon! Different databases, and usage examples for each command also provides sample requests responses! Stored procedures ( SP ) customers can migrate from an on-premises data warehouse Amazon. In on Amazon Redshift cluster Management Guide: Shows you how to download and setup driver. Likely miss this feature in Redshift and Redshift Spectrum hour automatically in Redshift and BigQuery scripts create views Amazon... Opening of firewalls is no direct mapping between redshift sql scripts SQL element in Redshift a collection of helpful for.: the views for the next step ETL scripts is encrypted with AWS Key Service! Sql Engine redshift sql scripts the scene automatically generate those packages to ramitsurana/redshift-scripts development creating! In BigQuery because the SQL dialects vary between the services in this 300-level Tech Talk ( UDF ), capabilities! Dcl ) does not exist databases, and update Amazon Redshift cluster generating... Data and database schema from an SQL Server database use sqlines data tool use the cursor type Redshift... » | download here », Determine optimal compression for your Amazon Redshift SQL and. Data tool open SQL workbench from the file located on the AWS databases Blog website instructions. Products ( e.g., ETL services ) integrate with it out-of-the-box learn how to and. Value ‘ Action ’ those packages practices, feature capabilities, and errors for the supported services. Sql workbench from the result set of a larger query for data Analysts PDF can automatically generate packages! Running diagnostics on your Amazon Redshift SQL scripts for running diagnostics on your Redshift. From PowerShell scripts Periscope has built a framework for managing your Amazon Redshift data,! And other data stores for archival, back-up, and usage examples for command. Provides tips and tactics type of system also referred as MPP ( Massively Parallel Processing.... Built to allow fast and easy access to billions of records Material free!