Move data from Netezza to Snowflake.

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Migrate Netezza data to Snowflake

Why you should use BryteFlow to move your Netezza data to Snowflake

Netezza is a pioneer in the data warehousing field and is an IBM product. It uses Massively Parallel Processing to deliver data. Recently however, cloud data warehouses like Snowflake are proving to be more wallet-friendly for organizations, offering infinite scalability, managed services, ease of use and much lower costs.

Migrate huge datasets from Netezza to Snowflake without a hassle, super-fast

Large scale data migration from Netezza to Snowflake comes with its own set of challenges – a huge amount of manual effort and time is needed to transfer data, convert to Snowflake schemas and manage the ongoing replication, while both data warehouses run in parallel. This also involves significant costs. That’s where BryteFlow, with its automated data migration can help. With just a few clicks you can set up your Netezza migration to Snowflake -no coding, no delays and very cost-effective.

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How to load terabytes of data to Snowflake fast

Real-time, codeless, automated Netezza data migration to Snowflake

Automated creation of tables on Snowflake, no coding

BryteFlow migrates your data model from Netezza automatically. The data model model includes the tables, databases, views, sequences, user account names, roles and objects grants etc. BryteFlow Ingest creates your tables on Snowflake automatically so you never need to code.
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Smart partitioning and parallel sync to load data

If you have petabytes of data to migrate from Netezza to Snowflake, we recommend a initial full ingest with BryteFlow XL Ingest. The data replication tool has been specially created to get across large datasets in minutes. It uses smart partitioning technology to partition the data and parallel sync functionality to load data in parallel threads. Parallel loading threads greatly accelerate the speed of your Netezza data migration to Snowflake. After the initial full ingest, BryteFlow Ingest captures incremental changes so your data at destination is always updated while your data migration takes place.

How to load terabytes of data to Snowflake fast

Data reconciliation to monitor completeness of data

When your data is being migrated from Netezza to Snowflake, you can monitor the completeness of your data with BryteFlow TruData. It is our data reconciliation tool that performs point-in-time data completeness checks for datasets including Type 2 data and provides notifications should data be missing.

Data is ready for analytical, ML and AI consumption

BryteFlow Ingest provides a range of data conversions out of the box including Typecasting and GUID data type conversion to ensure that your data migrated to Snowflake is ready for analytical consumption. Further, BryteFlow enables configuration of custom business logic to collect data from multiple applications or modules into AI and Machine Learning ready inputs.

Automatic catch-up from network dropout

If there is a power outage or network failure you don’t need to worry about starting the Netezza data migration to Snowflake process over again. BryteFlow Ingest will automatically resume from where it left off, saving you hours of precious time.

BryteFlow’s Data Integration Tools

The BryteFlow software consists of data integration tools that work synergistically to deliver flawlessly
replicated, prepared data that you can use for your Analytics, ML, AI or other applications.
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BryteFlow Ingest: our data replication tool

The data replication superstar, replicates data from any file, database or API.
About BryteFlow Ingest 

BryteFlow XL Ingest for data replication of very large datasets

Specially designed to replicate tables over 50 GB fast and seamlessly.
About BryteFlow XL Ingest

BryteFlow Blend: our data transformation tool

Merges data from different sources and prepares it for Analytics, Machine Learning etc.
About BryteFlow Blend

BryteFlow TruData: our data reconciliation tool

Ensures completeness of data including Type2, issues alerts if data is missing.
About BryteFlow TruData

BryteFlow ControlRoom: our data monitoring tool

The Bryteflow ControlRoom is an operational dashboard that monitors all instances of BryteFlow Ingest and BryteFlow Blend, displaying the statuses of various replication and transform instances.
About BryteFlow ControlRoom

About Netezza

Netezza was the world’s first data warehouse appliance and created in 2003. It delivered a great performance because of its patented hardware acceleration process that featured field-programmable gate arrays (FPGA). Netezza is owned by IBM which later withdrew its support due to the Cloud data revolution. Data in the cloud is a much more attractive proposition to organizations, providing infinite scalability, faster deployment, increased reliability and a pay-as-you-go model that lowers IT costs.

About Snowflake Data Warehouse

The Snowflake Data Warehouse or Snowflake as it is popularly known is a cloud based data warehouse that is extremely scalable and high performance. It is a SaaS(Software as a Service) solution based on ANSI SQL with a unique architecture. Snowflake’s architecture uses a hybrid of traditional shared-disk and shared-nothing architectures. Users can get to creating tables and start querying them with a minimum of preliminary administration.