Cloud Computing & Integration

In order to support the maximum number of user and elastic service with the minimum resource, the Internet service provider invented the cloud computing. Within a few years, emerging cloud computing has become the hottest technology.

Types:

  • Private Cloud (on premise / local ): This format, also known as an “internal cloud,” is hosted within an organization's own data center. It provides a more standardized process and protection, but is often limited in size and scalability.
  • Enterprise Cloud: is the provision of cloud computing services to businesses. This is in contrast to consumer-oriented cloud computing services. In enterprise cloud computing, individual companies and businesses rely on contracts with cloud providers or vendors to outsource different types of IT services.
  • Public Cloud: is one based on the standard cloud computing model, in which a service provider makes resources, such as virtual machines (VMs), applications or storage, available to the general public over the internet. Public cloud services may be free or offered on a pay-per-usage model.
  • Hybrid Cloud: is a cloud computing environment that uses a mix of on-premises, private cloud and third-party, public cloud services with orchestration between the two platforms.
  • Cloud Data Warehouse: For companies that start are born in the cloud, it is expected to have numerous cloud applications that need connectivity to each other to get a hlistic view of the data across these systems. Cloud can bring all this data from the sources and transform the data into relevant, contextual and reliable data, store it in cloud data warehouses (e.g. Azure SQL DW and Amazon Redshift) and enable self-service dashboards with actionable insights for e.g. Tableau and Salesforce Wave and Cognos.
  • Hybrid Data Warehousing ( Data warehouse As A Service ): Load multiple data sources from cloud and/or on premise to Data Warehouse as a Service on public cloud platform. In this use case, a customer would typically have legacy DW which runs on-premise and also have migrated subsets of data to cloud-based DW like Redshift or MSSQL DW. There could be various reasons for the migration including the need to scale flexibly, reduce cost, increase time-to-market and most importantly agility and speed of doing business. In this type of use case the customer might integrate various other cloud data sources like ERP, CRM as well cloud-based data sources like Salesforce, Workday and NetSuite etc.  The consolidated data in the cloud DW which in turn feeds into the BI tools which can be the modern self-service BI tools like Tableau, Salesforce Wave etc. or the traditional BI tools like Cognos etc. Cloud Connectors solutions fit in seamlessly to provide the integration services and right data for users.
  • Lift and shift: Migrate on premise databases, integration platform, and/or data warehouse to a public cloud platform
  • Hybrid Application Integration: Integrate applications, on-premise, in SaaS and on public cloud

Connect your cloud and on-premise apps rapidly with native Cloud connectors.

Types:

  • Cloud Data Integration: Improve and simplify your data integration processes with our comprehensive and easy-to-use capabilities and designers. Increase productivity with intuitive wizards, preconfigured solution templates, mass ingestion, and out-of-the-box mappings that seamlessly integrate high data volumes across multi-cloud and on-premises environments. Cloud Data Integration is tailored for cloud data warehouses like ‘Amazon Redshift’, ‘Microsoft Azure SQL’, Data Warehouse, Google BigQuery, or Snowflake
  • Cloud Integration Hub: Modernize complex data integrations by providing a better way to integrate multiple SaaS applications across cloud and on-premises. Cloud Integration Hub’s publish/subscribe system is optimized for data integration and enhances data consistency and trust, empowering business and IT teams to collaborate seamlessly and be more productive.
  • Cloud B2B Gateway: Modernize your integration with external partners through state-of-the-art partner management and monitoring tools. Cloud B2B Gateway gives you everything you need to expedite and simplify partner onboarding, with EDI processing and tracking, preconfigured EDI workflows, and automatic file discovery based on the metadata-driven AI capabilities of the CLAIRE™ engine.
  • Cloud Application Integration: Automate business processes, expedite transactions, and enable real-time analytics with a single, trusted solution designed to support all your integration patterns—including multi-cloud and hybrid integration—and all of your data sets, user types, and endpoints.
  • Cloud Data Quality for Applications: Quickly identify, visualize, fix, and monitor data quality issues within business applications such as Salesforce and Marketo with a single, automated solution that builds user confidence in their data. Cloud Data Quality Radar's intelligent self-service approach uncovers bad data, automatically fixes the data, and provides ongoing monitoring of your data.
  • Cloud MDM – Customer 360 for Salesforce: Realize the full promise of your customer-centric vision by streamlining your information management with a single, trusted source of business-critical customer data in your Sales-force environment.
  • Data Security Cloud: Reduce the risk of data breaches, improve data security and compliance, optimize security investments, and support the enforcement of data privacy and use policies—non-intrusively and without application changes.