Six ways high-volume data replication reduces SAP data issues
A high-volume data replication solution makes it easy to gain real-time access and easily integrate your SAP ERP data so you can maximize its value.
A high-volume data replication solution makes it easy to gain real-time access and easily integrate your SAP ERP data so you can maximize its value.
Year after year, DevOps industry reports and practitioners in the field point to testing as the biggest bottleneck in the software development lifecycle. Take GitLab’s 2021 Global DevSecOps Survey – for the third year in a row, the majority of respondents pointed to testing as the biggest cause of delays. That’s a lot of finger-pointing. If we had to guess, testers are tired of it.
In the era of digital transformation, misalignment between the business leaders steering the overall strategy and the technical experts who build, implement, and maintain solutions is one of the top blockers to a successful sea change. These groups need to be able to collaborate to define what each solution requires and the why behind it.
Today, non-relational, schemaless data models dominate the domain of databases. Non-relational databases are more developer-friendly and scale better than the relational databases of the past. However, it is harder for them to do complex tasks. Now we have a new player in the game to address this issue: EdgeDB. EdgeDB is built on top of PostgreSQL and introduces a new conceptual model for representing data.
In this article, you’ll learn how to use Bitrise and Mobile DevOps to improve collaboration across your teams. With Bitrise, you see all the information you need and can easily onboard new team members.
We’re so proud to share that Iguazio has been named a sample vendor in eight Gartner Hype Cycles in 2022: Iguazio was mentioned in the following categories: MLOps, Logical Feature Store, Adaptive ML, Data-Centric AI, AI Engineering, AI TRiSM, Operational AI Systems, ModelOps, AI Engineering in HCLS and Continuous Intelligence. We are delighted to have been mentioned alongside global industry leaders like AWS, IBM, Microsoft, Google, Databricks and Dataiku.