hana data lake files Migration to Azure Cloud Made Easy

Migrating your HANA data lake files to Azure Cloud is a game-changer for businesses looking to unlock the full potential of their data. This process can be made easy with the right approach.

HANA data lake files are designed to handle large volumes of data, but storing them on-premises can be costly and limit scalability. By migrating to Azure Cloud, you can tap into a more cost-effective and flexible storage solution.

Azure Cloud offers a scalable and on-demand infrastructure that can grow with your business, making it an ideal choice for HANA data lake files. With Azure, you can store, process, and analyze large datasets with ease.

Migrating to Azure Cloud can also simplify data management and reduce costs associated with on-premises storage. By leveraging Azure's cloud-based infrastructure, you can say goodbye to expensive hardware upgrades and hello to a more agile data management strategy.

For your interest: Why Is Data Management Important

Migration to Azure ADLS Gen2 is a straightforward process with BryteFlow, an automated replication tool that can replicate your SAP data to Azure Data Lake Storage Gen2 in real-time.

Worth a look: Create Azure Data Lake Storage Gen2

BryteFlow delivers ready-to-be-consumed data on ADLS Gen2 and is fast to deploy, getting delivery of data in just 2 weeks. This is a significant advantage over traditional data migration methods that can be time-consuming and labor-intensive.

Replicating your data from SAP to ADLS Gen2 is fast and automated with BryteFlow, allowing you to transfer petabytes of SAP data in minutes to ADLS Gen2. This is made possible by BryteFlow's parallel, multi-thread loading, partitioning, and compression capabilities.

SAP legacy databases are typically huge and sometimes SAP data can be challenging to extract, but BryteFlow simplifies SAP data integration by replicating incremental changes using CDC to sync data with the source.

Azure Data Lake Storage Gen2 (ADLS Gen2) supports next-gen data lakes for analytics, delivering high performance since users do not need to move or transform data for analytics. This makes it an ideal destination for storing and processing large amounts of data, such as SAP data.

Consider reading: Data Lake Analytics Azure

Azure Data Lake Files are a great way to store and process large amounts of data. They are optimized for high-speed data loading and can handle petabytes of data in minutes.

With BryteFlow, you can replicate your SAP data to Azure Data Lake Storage Gen2 in real-time, using Change Data Capture (CDC) to keep your data updated with the source. This means you can get your data delivered in just 2 weeks.

BryteFlow loads high volume SAP data to Azure with parallel, multi-thread loading, partitioning and compression, making it fast and efficient. You can also get a range of data conversions out of the box with BryteFlow Ingest.

Here are some key benefits of using Azure Data Lake Files with BryteFlow:

Cloud Support is a key advantage of using Azure Data Lake Files.

You can easily connect to various SAP systems, including Database logs, ECC, HANA, S/4HANA, and SAP Data Services, thanks to BryteFlow's flexible connections.

Take a look at this: Sap Data Lake Reference Architecture

BryteFlow also supports Pool and Cluster tables, making it a versatile tool for data management.

BryteFlow provides a range of data conversions out of the box with BryteFlow Ingest, saving you time and effort.

Here are some of the file formats and compression options you can easily configure in ADLS Gen2, such as Parquet-snappy.

BryteFlow replicates SAP to Azure Synapse, giving you even more options for data analysis and processing.

With BryteFlow, you can access your analytics-ready data in ADLS Gen2 immediately, without any hassle.

For your interest: Data Lake Gen2 Upgrade

A data lake is a centralized repository that stores all your structured and unstructured data at any scale. It's like a big container that holds everything.

The data lake stores everything, unlike a data warehouse which focuses only on business processes. You can store your data as-is, without having to first structure the data.

SAP HANA Cloud's data lake layer ensures critical data is available in real-time, urgent data in near-real-time, and important but older data as quickly as possible.

Here's a breakdown of the different tiers within the data pyramid:

The data pyramid is made up of varied components from the SAP HANA Cloud platform, including SAP HANA Database, Data Lake IQ, and Data Lake Files.

BryteFlow is an automated replication tool that replicates your SAP data to Azure Data Lake Storage Gen2 in real-time with Change Data Capture (CDC), keeping data updated with the source.

Replicating your data from SAP to Azure Data Lake Storage Gen2 is fast and automated with BryteFlow, allowing you to transfer petabytes of SAP data in minutes.

BryteFlow delivers ready-to-be-consumed data on ADLS Gen2 and is fast to deploy, ensuring you can get delivery of data in just 2 weeks.

Low latency, CDC replication has minimal impact on the source, and BryteFlow optimises for Azure Data Lake Storage Gen2 with best practices in mind.

Here are some key features of BryteFlow for SAP on Azure migration: