Data integration: How to successfully integrate your business data into cloud platforms

When it comes to data integration, simply dumping all your data into a data lake is not the solution. In this blog post, we explain how to easily integrate data, link data from different sources, contextualize it, make it relevant, and then make it easily available.

How to securely migrate archived data to the cloud

In today’s rapidly evolving business landscape, organizations are increasingly moving their SAP systems to the cloud for better flexibility, scalability, and efficiency. However, a critical aspect of this migration is often overlooked – the seamless transition of archived data. In this blog post, we will look into ensuring a smooth journey for your archived data to the cloud.

Navigating SAP transformations in regulated industries: pharma and life sciences

In thig blog post, we delve into transforming SAP landscapes in the pharmaceutical industry. With vast amounts of sensitive data and strict regulations, this is an especially challenging task that calls for a deep understanding of compliance requirements and the expertise to navigate it effectively.

Three questions for our cloud migration expert

SAP data and AI: A world full of opportunities

IT Management magazine features an interview with the CEO of SNP about current market challenges and the latest developments, including breaking data silos and making SAP data available for artificial intelligence.

From Source to Target: Data targets

In this blog series I want to give you insights and tips on tight and efficient integration between SAP and cloud-based data warehouses or other related technologies.

Integrating SAP with Snowflake using SNP Glue

SNP Glue is SNP’s integration technology for anything and any cloud. Originally built around SAP and Hadoop it has grown into an integration platform which, while still being very much SAP focused, can integrate pretty much any data source with pretty much any data target.

From source to target: SAP data sources and SNP Glue

When looking at integration between SAP and cloud-based data warehouses (e.g. Snowflake), most architects think about tables when looking at SAP’s business applications. Generally speaking, that's not wrong of course, but it is worthwhile to look at more sources of data which may be better suited. In this blog series I want to give you an overview of such data sources, and I want to mention some of the limitations and opportunities that come with different data sources.

Integrate SAP with “anyCloud”

Ten years ago, our customers who were (and still are) running SAP asked me about this new thing which was suddenly appearing everywhere: Big Data. Then, five years ago, this turned into Data Lakes and Machine Learning. Now it’s all about cloud integration and – of course – AI. Sometimes the fundamental approach to data has changed or evolved. Sometimes its just a change in names. For example, over the last decade, Data Lakes morphed into Data Meshes, which when you think about it are nothing but an interconnected slightly more sophisticated data lake.

SAP Datasphere and SNP Glue

In various blog posts we have looked at how customers can leverage SNP Glue in tandem with cloud-based data warehouses and data lakes to get the most of their SAP data. SNP Glue helps customers unlock the SAP data silo with a highly performant integration solution. For example, it is possible to stream SAP data with SNP Glue’s state-of-the-art delta capture (CDC) in near-real time to a cloud-based data platforms.

Discover new data integration benefits with Snowflake and SNP Glue

Business data delivers valuable insights. However, many companies face challenges when it comes to collecting, storing, transferring, processing and successfully using this data. One main challenge originates from standard SAP interfaces that are often unstable for heavy loads, and there’s no real time replication. Frequently, there are complex and time-consuming processes to create and to maintain. In addition, extracting and consolidating data from a vast data landscape is a significant part of the overall struggle.

How the utilities industry can stay competitive in the digitalized market

Utility companies are facing new competitors from the technology industry. Tech giants such as Amazon or Google are already tapping into the energy market with their smart home devices, delivering insights on the energy usage and trends to the consumers. And yes – utilities have some homework to do.