DEV Community: James D.Collins

Benefits of Migrating Databases From Oracle to Azure

James D.Collins — Tue, 18 Feb 2025 06:47:59 +0000

Before going into the benefits of migrating databases from Oracle to Azure, let us check some of the scenarios where this activity is necessary.

 You have one or more Oracle databases that run on Oracle Database 19c in your on-premises data center. You want to migrate the databases to Azure, Enterprise Edition.

 The databases are Oracle Real Application Clusters (RAC)-enabled. For disaster recovery, you replicate the databases via Oracle Data Guard to Azure, another data center that is geographically distant from the primary database location with the minimum amount of downtime.

 You also want to migrate Oracle to Azure application services that depend on the databases.

 You establish connectivity to Azure through Azure ExpressRoute, and you use a hub-and-spoke network topology in Azure.

Click here to learn more about moving databases from Oracle to Azure.

Prerequisites and Preparation for Migrating Oracle to Azure

Before migrating databases from Oracle to Azure, the following steps must be taken.

 Verify that your source environment is supported.
 Download SSMA for Oracle
 Create a single database that is Azure SQL Database instance
 Get the necessary permissions for SSMA for Oracle and provider
After the pre-requisites for the Oracle to Azure are completed, assess the feasibility of the Azure cloud migration. You need to conduct an inventory of the databases that you need to migrate, assess those databases for potential migration issues or blockers, and then resolve any items you might have uncovered.

Benefits of Oracle Databases in Azure

We will now examine the benefits of moving databases from Oracle to Azure, that is Oracle Database Azure.

 Oracle database services in Azure are designed to offer high levels of performance, scale, security, and availability. By running OCI databases in Azure datacenters alongside other services in Azure, you can optimize latency and performance.

 Use familiar and proven Oracle solutions like Oracle Zero Downtime Migration (ZDM) to migrate Oracle databases without refactoring applications or databases.

 Use optimized application services, development tools, and frameworks available in Azure to modernize your workloads and run cloud-native applications. You also get direct access to data in Oracle Database Azure, with the same security and compliance across the entire solution.

 Unlock data insights and innovation when you apply Azure data analytics and AI services across your Oracle and non-Oracle data and applications between resources. Oracle to Azure database movement will help you to handle mission-critical applications.

 Deploy and manage Oracle Database Azure infrastructure through the Azure portal. Use native Azure tools to view metrics, events, and logs for all Oracle Database Azure databases. Carry out database provisioning and management via OCI interfaces along with access to familiar tooling like Data Guard, GoldenGate, and others.

 Get the same features and pricing as Oracle Exadata cloud service on OCI with Oracle Database Azure. Use existing Azure and Oracle commitments, program benefits, and licenses to do so.

Importantly, contact either Oracle or Microsoft support team for a unified support process.

The Evolution And Structure Of The SAP Data Lake

James D.Collins — Thu, 06 Feb 2025 04:27:31 +0000

In April 2020, SAP announced the launch of HANA Data Lake as a part of its cost-effective cloud services. It offers an affordable storage repository including SAP HANA native storage extension and a built-in relational SAP data lake.

The SAP data lake is a relational data lake which in effect means that the SAP IQ database is deployed in the cloud and provides processing capabilities at par with Azure or Amazon Web Service. It also offers 10x excellent compression of existing data, greatly saving storage costs.

Click here to learn more about the SAP data lake.

The data lake stores both structured and unstructured data and the SAP data lake can be enabled either in the current HANA Cloud instance or in a new HANA Cloud instance. In both systems, more storage space can be added at any time. Other typical cloud-based data lake features like security, encryption of data, audit logging, and tracking of data access are available too.

The Architecture of the SAP Data Lake
The SAP data lake architecture is 3-tiered and is in the shape of a pyramid.

At the top of the pyramid is the data that is most critical for your business and accessed frequently and quickly. It is also the most valuable for you and is known as hot data stored in memory. Hence, this data is operationally most expensive.

In the middle of the pyramid is data that in the past would be typically treated as cold storage but not now in the SAP data lake. This relational database structure optimizes simplification and acceleration of data analysis and can rapidly access massive volumes of data too.

At the bottom of the pyramid is the raw data that is less used and cannot be accessed as quickly as the top tier. The trade-off against the speed of operations is that large amounts of data can be accessed for a low price.

In a nutshell, this cloud-based SAP data lake helps to manage data through a reasonable life cycle. Critical and urgent data is available in real or near-real-time as is older data. This tiering in the form of a pyramid helps to keep costs down and you can choose how to store your data based on how quickly and frequently you need to access it.

Features of SAP Data Lake

Several high-performing features of SAP HANA data lake make it a preferred option for organizations around the world.
•Based on SAP IQ technology

•Highly elastic and works independently of HANA DB. It can scale up to petabytes of data on demand, enabling businesses to avoid investing in hardware and software for any additional need for resources.

•Provides seamless access to cloud storage like Amazon Web Service S3 and Google Cloud Platform Cloud Storage.

•Excellent high-performing ability to analyze data

•Provisioned to automatically complement and be administered with HANA Cloud

•Enabled for high-speed ingestion.

These cutting-edge features of SAP data lake result in a host of benefits for businesses.

Why Should You Move Data From SAP HANA to Snowflake

James D.Collins — Mon, 27 Jan 2025 08:34:25 +0000

There is no doubt that SAP HANA is a highly optimized and very effective data storage repository, being more advanced than others in this niche. The question then is why organizations want to move databases from SAP HANA to Snowflake.

In this post, we will go into the details and the reasons for businesses wanting to migrate their data from SAP HANA to Snowflake.
Click here to learn more about moving data from SAP HANA to Snowflake.

Benefits of Moving Database From SAP HANA to Snowflake

Businesses typically prefer to migrate data from SAP HANA to Snowflake primarily because of security concerns. This move makes sure that data is replicated in different locations thereby adding to increased layers of data safety, a much-needed feature for databases in the current data-driven business environment.

Now let’s dive into the benefits of moving data to Snowflake from SAP HANA.

• Snowflake is a data warehousing solution that is based in the cloud. Hence it offers fully-automated facilities for data compression and storage and increased database performance. There is no need to build indexes or carry out any internal changes when moving databases from SAP HANA to Snowflake.

• Data in its native form – unstructured, semi-structured, or structured – can be directly moved to Snowflake without formatting it first. This is true for SAP as well as other third-party applications.

• The structure of Snowflake is very user-friendly and enables easy and seamless processing of SAP data. SAP users can get access to actionable data from a single source that helps them to follow FAIR (findable, accessible, interoperable, reusable) principles.

• Once the data is migrated from SAP HANA to Snowflake, users get genuine business content with which they can undertake multiple
intricate queries, data loading, and report generation.

• One of the most important benefits of this form of database migration is monetary savings. No fixed data storage capabilities need to be downloaded from Snowflake regardless of whether it is used or not by paying fixed rates. Instead, users can download the data storage volume they need only by paying for the resources used. Any extra data storage required can be downloaded quickly by paying for it only.

The only pre-condition for moving data from SAP HANA to Snowflake is that both the source and the target databases must be continuously kept in sync.

When you move data to Snowflake from SAP HANA you must first identify the data and know precisely what needs to be moved. Typically, these include tables and databases, data usage patterns, the duration in which data must be regularly updated to Snowflake, and the scripts and applications that will be used in the migration process. Also, fix the applications and the users who will be permitted to access the tables and the databases.

The data migration process is fully automated and only after this stage is finalized and completed can the degree of support required for migrating SAP HANA to Snowflake be decided