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Accelerate Digital Transformation by Migrating Core Banking to the Cloud

No two banks are alike. Similarly, the cloud migration strategy for each bank will be unique based on various factors like the existing core system, delivery of cloud model, cloud deployment model, and the type of modernization. The important factor here is to collaborate with the right cloud services provider and the right technology partner, says Vishnu Vardhan Vankayala, Associate Principal Consultant, Cigniti Technologies.

Apache Kafka to BigQuery: 2 Easy Methods

Organizations today have access to a wide stream of data. Data is generated from recommendation engines, page clicks, internet searches, product orders, and more. It is necessary to have an infrastructure that would enable you to stream your data as it gets generated and carry out analytics on the go. To aid this objective, incorporating a data pipeline for moving data from Apache Kafka to BigQuery is a step in the right direction.

The CIOs Guide to Hybrid Cloud Automation

Hybrid cloud automation is not just a tactical solution, but rather a strategic way for businesses to quickly react to changing business requirements. To address customer expectations and overcome these challenges, IT leaders must implement hybrid cloud automation. Read this white paper as it chronicles the benefits, use cases, and the factors to be considered while automating the hybrid cloud.

The Power of Perforce Open Source

Open source software (OSS) is the foundation of the digital economy. For organizations using OSS, adequately supporting that software is critical. Perforce enables teams to innovate with OSS — without the risk. They say software is eating the world, and open source is eating software. Today, open source software serves as the foundation that powers the digital economy.

Ingesting Google Cloud Storage files to BigQuery using Cloud Functions and Serverless Spark

Apache Spark has become a popular platform as it can serve all of data engineering, data exploration, and machine learning use cases. However, Spark still requires the on-premises way of managing clusters and tuning infrastructure for each job.