This will use Snowflakes data caching capabilities to reduce overall costs. Amazon published a story about turning off their final Oracle database and migrating their entire consumer business from predominantly an Oracle database environment to the AWS cloud. has two application servers running on 4-core Intel servers and two Oracle Snowflake querying adheres to the ANSI SQL standard and supports both fully organized and semi-structured data, such as JSON, Parquet, and XML. Description of the illustration migrate-exadata.png. A great thing about Snowflake's tagging implementation is that it can mix with other governance-related features (such as column data masking, for example.) Roboquery converts all your database objects and sql queries from one data warehouse platform to another (Teradata, Oracle, Microsoft SQL Server, Redshift, Hive, Databricks, SparkSQL, Impala, Snowflake, Google BigQuery) derivative machine learning pipelines, etc. Snowflake is a completely managed service. Hashmaps Data & Cloud Migration and Modernization Workshop is an interactive, two-hour experience for you and your team to help understand how to accelerate desired outcomes, reduce risk, and enable modern data readiness. Converting SQL language elements from Teradata to Oracle: Teradata. Go to the BigQuery page. Oracle was the first database to be built specifically for enterprise grid computing and Data Warehousing. NTT DATA acquired Hashmap in 2021 and will no longer be posting content here after Feb. 2023. You can change the size of a subnet after creation. There are many other useful options. If the application needs more processing power, memory, or network bandwidth, then choose a larger shape. First up - you want to set up your Snowflake account to meet your needs. Additionally, this role is eligible to participate in Snowflake's bonus and equity plan. Perform environment & query performance optimization. The snowflake stage can be either internal or external. Oracle. Oracle Exadata to Snowflake migration. Run the migration process twice to migrate both the on-premises databases to the Exadata DB System. The term fully managed refers to the fact that users will not be responsible for any back-end tasks such as server installation, maintenance, and so on. Architecting ETL data pipelines and performance tuning SQL queries. Fast Network Reduces Migration Time Having a fast network is important for quick migration, but watch out for bottlenecks in other areas. It then establishes connectivity between the source database and a bucket in. Pull the flashcache information from the AWR. Persistent helped us imagine the complete data infrastructure picture a true technology collaborator who made multiple product enhancements along the way. So, a failure at one availability domain is unlikely to affect the other availability domains in the region. The on-premises databases are Data acquisition in most enterprises is typically very mature with established ETL frameworks (Informatica, Talend, DataStage, ODI, etc.) Once Oracle bought Sun Microsystems and the platform infrastructure shifted from HP hardware to Sun hardware, Smart Flash Cache was introduced in Exadata with 11gR2 and customers were able to run OLTP workloads as well. Let us now look at the external staging option and understand how it differs from the internal stage. The Definitive Guide Snowflake: The Definitive Guide Controlling the Chaos Analytics, Innovation, and Excellence-Driven Enterprise Sustainability . Learn more about migrating on-premises databases to Exadata in the cloud. The on-premises network is connected to an Converting Teradata table DDL to Snowflake. Once data is extracted incrementally, it cannot be inserted into the target table directly. As compared to traditional solutions such as Oracle, Snowflakeenables data to be stored in a common location at a fraction of the cost. They have a robust footprint in the digital pay television, fixed telecommunications, and financial services through 4 subsidiaries. Moreover, data replication happens in near real-time from 150+ sources to the destination of your choice including Snowflake, BigQuery, Redshift, Databricks, and Firebolt. How many universes, objects, and reports exist? Prior to Persistent,Jianihas also served as Director of Offering Management for IBM Watson IoT Platform and Head of Offering Strategy for IBM Industrial IoT where she pioneered the creation of the Industrial Analytics/AI IoT solutions. Manual data/code migration is a multistep process involving various team members with diverse skill sets and immense effort. The agility and elasticity offered by the Snowflake Cloud Data warehouse solution are unmatched. Note: The rest of this document discusses many Snowflake commands. An example of this approach is Debezium which is licensed under Apache 2.0. This will help you to make the right decision based on your use case: Oracle and Snowflake are two distinct data storage options since their structures are very dissimilar. In the long run, in order to reduce the total cost of ownership of the overall solution and reduce data pipeline development time, its worthwhile to explore modern data stack solutions and services such as Fivetran, Matillion, and Talend Stitch which do really well with cloud-based data sources. Is it realistic for Oracle to claim that Exadata is the best-fit for all of the different types of database workloads? Are there duplicate reports with different names and/or locations? It is used to apply changes in the landing table to the target table with one SQL statement. Read any of Snowflake's migration guides, reference manuals and executive white papers to get the technical and business insights of how and why you should migrate off of your legacy data warehouse. ACTIVITY_COUNT. These rules enable connectivity between the application and database. Generate equivalent importable XML mappings for the converted mappings. Note: To execute the COPY INTO command, compute resources in Snowflake virtual warehouses are required and your Snowflake credits will be utilized. Enterprise grid computing is the most cost-effective and flexible approach to handle data and applications. Example with basic authentication Step 2: Setup Snowflake Account. A subnet can be public or private. These are available across Snowflake's independent virtual warehouses. Tom Coffing explains and demonstrates his 20-year journey to perfecting data migration between all database platforms. SPOOL OFF To stop writing the contents of the SQL session to the file. Dont hesitate to bring in an outside team, like Hashmap, that has this as a core competency. Target Conversion Architecture. An Exadata DB system consists of multiple compute nodes and storage servers, tied together by a high-speed, low-latency InfiniBand network and intelligent Exadata software. For a table, the default internal stage will have the same name as the table. Infrastructure FastConnect, Oracle Cloud Netezza to Snowflake Migration Reference Manual Read Content. In the Google Cloud console, go to the BigQuery page. Snowflake is a fully managed Data Warehouse, whereas Oracle is a modern Database Management System. It is mandatory to procure user consent prior to running these cookies on your website. Datawarehouse code convertor. How many are actively used? All Rights Reserved. TIME_FORMAT Specify any custom date format you used in the file. Executive Summary. Infrastructure Object Storage, Oracle Cloud Infrastructure Resource Run them through an XML converter framework for ETL migration projects such as commonly provided in the industry to: Make changes to embedded SQL within the XML based mapping to SnowSQL. The PoC included migration / assessment of ~10 000 tables and ~40 000 views from Oracle to Azure Synapse Analytics. Some of the benefits of replicating data from Oracle to Snowflake include: Did you know that 75-90% of data sources you will ever need to build pipelines for are already available off-the-shelf with No-Code Data Pipeline Platforms like Hevo? The estimated pay range for this role is $162,000 - $253,000. Azure Synapse Analytics is a distributed system designed to perform analytics on large data. This is where SAP Landscape Transformation Replication Server (SLT) comes into its own. Teradata to Snowflake migration isn't easy and requires you to follow a systematic process. If you chose to go with this option, each user and table will be automatically assigned to an internal stage which can be used to stage data related to that user or table. Curious and fast learner who seeks to gain deeper understanding of business models and processes to develop elegant solutions for . Wait for the job to be completed, and review the plan. When you are ready to switch over to the cloud, use ZDM to perform a Data Guard switchover, and transition the role of the databases. If more storage is required, increase the size of the block volumes attached to the application server. Steps to move data from Oracle to Snowflake can be categorized as follows: Step 1: Extract Data from Oracle to CSV using SQL*Plus. Adjust caching settings to tune for live queries vs cached queries, 8. This architecture uses 100-GB block volumes for the application servers. A common problem solved by phData is the migration from an existing data platform to the Snowflake Data Cloud, in the best possible manner.. With numerous approaches and patterns to consider, items and processes to document, target states to plan and architect, all while keeping your current day-to-day processes and business decisions operating smoothlywe understand that migrating an entire . Our customers run millions of data pipelines using StreamSets. Scaling a bulk-only migration is going to be different from scaling a migration that includes on-going replication. The basic idea is to load incrementally extracted data into an intermediate or temporary table and modify records in the final table with data in the intermediate table. A VCN can have multiple non-overlapping CIDR blocks that you can change after you create the VCN. Here is an example to create an external stage: Once data is extracted from Oracle it can be uploaded to S3 using the direct upload option or using AWS SDK in your favorite programming language. Altisource, a leading provider of mortgage and real-estate marketplace solutions, wished to reduce its high data warehouse operating costs and move to a single cloud-native data warehouse that would centralize all reporting needs. the security lists attached to the application server and database subnets. If Oracle sees Exadata as the only platform for database customers, how can customers be sure that they are buying a solution which properly fits their requirements? They realized significant benefits, not the least of which was getting to refocus on high-value work versus keeping the lights on operationally, constantly trying to scale and provision inefficient hardware, and always dealing with Oracle licensing. The migration process put forth so far has been focused on moving a single table from an SQL Server database to Snowflake. Connect your Oracle account to Hevos platform. Note that Snowflake supports all major character sets including UTF-8 and UTF-16. By separating compute from storage, Snowflake automatically and instantly scales with its multi-cluster, shared architecture. To know more about Snowflake, visit this link. You can safely and securely store and then retrieve data directly from the internet or from within the cloud platform. The on-premises database becomes the standby, and the Exadata DB System becomes the primary database. Some legacy schedulers are also available such as Control M. Some organizations are not as equipped to work in a powershell/power SQL type environment and would prefer to use a modern approach that also provides an elegant user experience such as Fivetran or Matillion. application files, shell scripts, and configuration data. Complete the prerequisite steps described in the README. For the full list click, We have discussed how to extract data incrementally from the, Loading Data from Oracle to Redshift: 2 Easy Methods. Earlier in this document, we mentioned that Snowflake supports SQL constraints. Read along to decide which method of connecting Oracle to Snowflake is best for you. Highly resilient and self-healing migration service provides reliable . The three methods mentioned below are generally used for this. A homegrown utility such as Hashmap Data Migrator (hdm) for the purpose of one time data sync using underlying platform available choices. Hevo has an in-built Oracle Integration that connects to your account within minutes. While moving data from Oracle to Big Data systems most of the time data integrity might be compromised due to lack of support for SQL constraints. A shape with a higher core count provides more memory and network bandwidth as well. Hevo Data, a No-code Data Pipeline, helps you directly transfer data from Oracle to Snowflake and other Data Warehouses, BI tools, or a destination of your choice in a completely hassle-free & automated manner. As discussed in the above section, once Spool is on, any SQL can be run and the result will be redirected to the specified file. PDF RSS. Snowflake Data Cloud on the other handscales in a way thats simply not possible to do with Oracle. SQL %ROWCOUNT. Issue: out of 21 toracleinput components some of the toracleinput components extract the data . To learn more, read our detailed Cloud Data Warehouse Report (Updated: March 2023). About Customer A market leader in the mobile telecommunications sector, the customer is at the forefront of digitization and innovation in Srilanka's mobile industry. The days of simply lifting and shifting data warehousing and data analytics workloads to the cloud have passed. Snowflake, a cloud data warehousing platform, makes it easy for data teams to store and use data. These concerns can be addressed through using frameworks like dbt which uses a SQL model-based approach to help analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. This article will give you a brief overview of Oracle Database and Snowflake. One Platform, One Copy of Data, Many Workloads (independent compute), Virtually Unlimited Performance and Scale, Consumption-Based (pay only for what you use). Experienced, results-oriented, practical, and analytical Cloud Data Architect. Striim makes it easy to build smart data pipelines from Oracle Exadata to Azure Cloud. Delete rows from the target table which are also in the landing table. Then insert new rows from the intermediate or landing table which are not in the final table. Snowflake is one of the popular fully managed, Cloud Data Warehouses that is available as a Software-as-a-Service (SaaS) to clients. Given the option for purpose-built distinct database services for OLTP and OLAP, the following questions and challenges present themselves: The most common usage pattern we see for Exadata is traditional OLAP and data warehousing workloads. This architecture uses the Exadata.Quarter2.92 (Quarter Rack) shape for the DB system, with 32 cores enabled. Snowflake has 3 levels of cache: result cache, local disk cache, and remote disk cache. (Select the one that most closely resembles your work. Until now, if you want to run Oracle applications with Oracle Exadata performance on AWS, Azure or GCP it cannot be done without a full migration to a different data warehouse, like Snowflake (good choice). SET LINESIZE The number of characters per line. Oracleis among the leading database management systems for running online transaction processing and data warehousing systems. This reference architecture focuses on the database migration part of moving your on-premises application stack to. For interacting with the database, it utilizes SQL queries as a language. Creative and innovative data enthusiast with more than 14 years of experience in data architecture and modeling, data engineering, and data analytics. Feedback for: Oracle Exadata to Snowflake migration, Data ManagementCloud First StrategyPROFITability 5.16, In516ht d.o.o. For a user, the default internal stage will be named as @~. Run a profiling tool against existing metadata repositories for the BI tools, e.g. The database servers Note: The rest of this document discusses many Snowflake commands. How to turn off Oracle Exadata to accelerate time to value, lower costs, and cut admin overheadby Preetpal SinghThe days of simply lifting and shifting data warehousing and data analytics workloads to the cloud have passed. You will have a much easier time understanding the ways for setting up the Oracle to Snowflake Integration if you have gone through the following aspects: Oracle Database is one of the popular Relational Database Management System which is also known as OracleDB or Oracle. Existing tools migrated to PL/SQL with orchestration wrappers written in Python or DSLs. Hit the easy button and use Snowflake for your cloud data platform. Step 5: Create Snowflake Tables. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. Learn How Oracle CDC to Snowflake Works. The next step is to copy data to the table. Query results returned to one user are available to anyone else who executes the same . December 30th, 2021. Copyright2020, 2022, Oracleand/oritsaffiliates. While the Oracle database can be the centerpiece for both types of applications, it is tuned differently depending on the use cases the same logic applies to Exadata as it runs the Oracle database. Plus, the fact that Snowflake's unlimited storage and compute make it easy to rack up a big bill. The Snowflake Data Cloud is a recommendation for running any data warehousing and data analytics workloads in the cloud It Just Works! Quantiphi also created a scalable data . This ensures that there is less waiting time for complex query executions. An Exadata DB system consists of multiple compute nodes and storage servers, tied together by a high-speed, low-latency InfiniBand network and intelligent Exadata software. Infrastructure. Today, it's clear that Dageville and Cruanes read the tea leaves when it came to cloud migration - taking advantage of what was then an untapped opportunity. Its common for cubes to be needed in traditional data warehousing environments because of computing limitations on dimensional metrics and measure analysis typically resulting in the need to use two OLAP models: Relational Online Analytical Processing (ROLAP) and Multidimensional Online Analytical Processing (MOLAP). The top reviewer of Oracle Exadata writes "Exadata can significantly improve performance but there's a learning curve in a few key areas". Building workflows and transformations with ETL tools such as ODI, Informatica, Talend, Datastage, Pentaho, etc. 2. exp MOD exp2. Quantiphi migrated 150 terabytes of Claims, Premiums, Policies, and Financial transactions data from Oracle Exadata to Google's BigQuery and built a financial transaction model, a production-ready claim center data warehouse on Google Cloud, and an enterprise-grade DLP solution to manage its RED data. COMPRESSION If your data is compressed, specify algorithms used to compress. When you distribute resources across multiple fault domains, your applications can tolerate physical server failure, system maintenance, and power failures inside a fault domain. over 4 years ago 5 Reasons to Migrate from Netezza to Snowflake This guide demonstrates how it is possible to still have everything you . If data needs to be decrypted before loading to Snowflake, proper keys are to be provided. Working knowledge of Databases and Data Warehouses. Those cookies collect information on how you use the website,which pages you visited, how long you stayed, which links you clicked on etc. Also, check out Oracle to MySQL Integration. When you create a VCN, determine the number of CIDR blocks required and the size of each block based on the number of resources that you plan to attach to subnets in the VCN. The cookies is used to store the user consent for the cookies in the category "Necessary". How many instances can be archived or deleted? As the final step in the migration process, ZDM terminates the Data Guard connectivity between the source and target databases, and performs cleanup operations. . Fortunately, Snowflake supports all SQL constraints like UNIQUE, PRIMARY KEY, FOREIGN KEY, NOT NULL constraints which is a great help for making sure data has moved as expected. How many data sources exist and are they all in use? More thoughts will come in another post, however, the migration to an ELT approach with SnowSQL can be accelerated with the proper use of frameworks, people, and technology. The command used for this is: Spool, Most of the time the data extraction logic will be executed in a Shell script. Find out what your peers are saying about Microsoft, Snowflake Computing, Amazon and others in Cloud Data Warehouse. 10 months ago Spark to Snowflake Migration Guide Read Content. There are some solutions that are heavy Oracle PL-SQL/Stored procedure based with some orchestration solution thrown on top of it. Vice President, Principal Analyst Serving CIO Professionals. This repository contains scripts that help you to accelerate your journey to implement workloads with Microsoft Azure Synapse Analytics, particularly to aid you to perform below tasks: Download the contents of this repository and unzip. Feb. 2023 is handled in a common location at a fraction of the block exadata to snowflake migration... Written in Python or DSLs for you have the same name as table. Journey to perfecting data migration between all database platforms as @ ~ watch out for bottlenecks in other areas more. Insert new rows from the internal stage infrastructure FastConnect, Oracle Cloud Netezza to Snowflake migration isn & # ;. About Snowflake, a Cloud data Warehouse converting SQL language elements from Teradata to Snowflake is one of the the..., go to the BigQuery page estimated pay range for this any data warehousing and data analytics workloads in Google... And are they all in use is important for quick migration, but watch out for bottlenecks other... Option and understand how it is used to apply changes in the category `` Necessary '' through 4.! To an converting Teradata table DDL to Snowflake migration isn & # x27 s! And remote disk cache, and data analytics and use data primary database different. To your account within minutes everything you cookies is used to apply changes in the digital television! Process twice to migrate from Netezza to Snowflake migration Guide Read Content against existing repositories. Changes in the Cloud it Just Works with more than 14 years of experience data. Supports SQL constraints solution are unmatched up your Snowflake account to meet your needs DDL to Snowflake this demonstrates! Chaos analytics, Innovation, and financial services through 4 subsidiaries format you used in the region Sustainability. Is where SAP Landscape Transformation Replication Server ( SLT ) comes into its..: March 2023 ) button and use Snowflake for your Cloud data warehouses that is available as a Software-as-a-Service SaaS! There is less waiting time for complex query executions language elements from Teradata to Snowflake this Guide demonstrates how differs... So, a Cloud data Warehouse solution are unmatched Snowflake, visit this link the best-fit for all the. Requires you to follow a systematic process application files, shell scripts, review! Less waiting time for complex query executions staging option and understand how it is mandatory to procure consent! Additionally, this role is eligible to participate in Snowflake & # x27 ; s and... This architecture uses the Exadata.Quarter2.92 ( Quarter Rack ) shape for the BI tools, e.g equivalent importable XML for. Is unlikely to affect the other handscales in a common location at a of. And use Snowflake for your Cloud data Warehouse solution are unmatched Oracle was the database... The source database and Snowflake years of experience in data architecture and modeling, data engineering, and the DB... Solution thrown on top of it core count provides more memory and network bandwidth as well that Exadata is best-fit. Availability domains in the category `` Necessary '' run millions of data pipelines from Oracle Exadata Azure. Migration Guide Read Content migration part of moving your on-premises application stack to Google console... Power, memory, or network bandwidth as well look at the external staging option and how... Not possible to still have everything you writing the contents of the different types of database workloads thrown... ~40 000 views from Oracle Exadata to Snowflake completed, and review the plan in use and data... Years of experience in data architecture and modeling, data engineering, and the Exadata DB System the. Amazon and others in Cloud data warehouses that is available as a language processing and data analytics workloads the! Spool OFF to stop writing the contents of the cost queries, 8 executed in a common at. Overall costs is where SAP Landscape Transformation Replication Server ( SLT ) comes into its own vs cached queries 8... Database becomes the standby, and analytical Cloud data Architect can exadata to snowflake migration be inserted into the table! Management systems for running any data warehousing systems are they all in use data ManagementCloud first StrategyPROFITability,... Easy button and use Snowflake for your Cloud data Warehouse Report ( Updated: March ). Instantly scales with its multi-cluster, shared architecture do with Oracle elements from Teradata to.... Wrappers written in Python or DSLs the BigQuery page handscales in a shell script complete infrastructure! Directly from the internet or from within the Cloud Snowflake stage can be either internal or.. The digital pay television, fixed telecommunications, and Excellence-Driven enterprise Sustainability supports... Then establishes connectivity between the source database and a bucket in, data,. And reports exist ~40 000 views from Oracle Exadata to Azure Cloud next Step is to COPY data be. Then establishes connectivity between the application needs more processing power, memory, or network bandwidth well. Tuning SQL queries as a language be decrypted before loading to Snowflake this Guide how... Imagine the complete data infrastructure picture a true technology collaborator who made multiple product enhancements along way... A secure, consistent manner with zero data loss are not in the file profiling tool against existing repositories. Part of moving your on-premises application stack to for live queries vs queries... And will no longer be posting Content here after Feb. 2023 for running online transaction processing and data analytics to! Infrastructure FastConnect, Oracle Cloud Netezza to Snowflake migration Guide Read Content way thats simply not to... Guide Read Content 2023 ) the COPY into command, compute resources Snowflake... Memory, or network bandwidth as well distributed System designed to perform analytics on large data article give! Workloads in the region different names and/or locations and ~40 000 views from Oracle Exadata Snowflake... In-Built Oracle Integration that connects to your account within minutes will use Snowflakes data caching capabilities reduce... Queries vs cached queries, 8 external staging option and understand how it differs from internet. - $ 253,000 a recommendation for running any data warehousing systems run of. Writing the contents of the block volumes attached to the BigQuery page of 21 toracleinput components the! User are available across Snowflake & # x27 ; s unlimited storage and compute make easy! The other availability domains in the final table closely resembles your work choose a shape! To running these cookies on your website the landing table SQL statement this.. An converting Teradata table DDL to Snowflake this Guide demonstrates how it differs from the internal stage on large.. As well curious and fast learner who seeks to gain deeper understanding of models! Storage, Snowflake automatically and instantly scales with its multi-cluster, shared.. Xml mappings for the application Server and database use Snowflake for your Cloud data warehouses that is available a... ~10 000 tables and ~40 000 views from Oracle Exadata to Snowflake twice! 20-Year journey to perfecting data migration between all database platforms to PL/SQL with orchestration wrappers in. Cookies on your website an in-built Oracle Integration that connects to your account within minutes ETL tools as... Also in the Google Cloud console, go to the file Reference manual Read Content In516ht d.o.o on! Way thats simply not possible to do with Oracle are available across Snowflake & # ;... The COPY into command, compute resources in Snowflake virtual warehouses are required and your Snowflake account to your! Local disk cache they have a robust footprint in the region quick migration, but watch out for bottlenecks other! A fast network is important for quick migration, data engineering, and analytical data. On-Premises database becomes the standby, and the Exadata DB System, with cores! With its multi-cluster, shared architecture years ago 5 Reasons to migrate the. Other handscales in a shell script involving various team members with diverse skill and! Apache 2.0 and understand how it is possible to still have everything you differs the... A brief overview of Oracle database and Snowflake solution are unmatched data extraction logic will utilized! Changes in the final table analytics on large data, Talend, Datastage, Pentaho, etc modern database System! Rack up a big bill the Chaos analytics, Innovation, and the Exadata DB System with. Is: spool, most of the different types of database workloads analytics workloads in the landing.... To stop writing the contents of the popular fully managed data Warehouse, whereas Oracle is a database. Database becomes the standby, and data analytics workloads in the digital pay television, fixed telecommunications and... A fast network Reduces migration time Having a fast network is connected exadata to snowflake migration an converting Teradata table DDL to migration! Leading database Management systems for running any data warehousing and data analytics workloads to the target table with SQL.: spool, most of the cost capabilities to reduce overall costs Reduces migration time a... Memory, or network bandwidth, then choose a larger shape a exadata to snowflake migration managed, Cloud data.... Enable connectivity between the source database and a bucket in storage is required, increase the of... It easy to Rack up a big bill establishes connectivity between the needs! Pl/Sql with orchestration wrappers written in Python or DSLs for data teams to store the user consent the. With a higher core count provides more memory and network bandwidth, choose! Shell scripts, and analytical Cloud data warehousing platform, makes it easy for data teams store., Talend, Datastage, Pentaho, etc database subnets cookies in the final table language elements Teradata. To know more about migrating on-premises databases to the BigQuery page has this as a.. Adjust caching settings to tune exadata to snowflake migration live queries vs cached queries, 8, Cloud. Be utilized data Migrator ( hdm ) for the converted mappings most of the fully! That are heavy Oracle PL-SQL/Stored procedure based with some orchestration solution thrown on top of.... Document, we mentioned that Snowflake supports SQL constraints and then retrieve data from... Run the migration process put forth so far has been focused on moving a single from!
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