Big Data Management
NetApp | November 08, 2023
NetApp introduces StorageGRID for VMware Sovereign Cloud, enhancing data storage and security for sovereign cloud customers.
NetApp's Object Storage plugin for VMware Cloud Director enables seamless integration of StorageGRID for secure Object Storage for unstructured data.
NetApp's Sovereign Cloud integration ensures data sovereignty, security, and data value while adhering to regulatory standards.
NetApp, a prominent global cloud-led, data-centric software company, has recently introduced NetApp StorageGRID for VMware Sovereign Cloud. This NetApp plugin offering for VMware Cloud Director Object Storage Extension empowers sovereign cloud customers to cost-efficiently secure, store, protect, and preserve unstructured data while adhering to global data privacy and residency regulations. Additionally, NetApp has also unveiled the latest release of NetApp ONTAP Tools for VMware vSphere (OTV 10.0), which is designed to streamline and centralize enterprise data management within multi-tenant vSphere environments.
The concept of sovereignty has emerged as a vital facet of cloud computing for entities that handle highly sensitive data, including national and state governments, as well as tightly regulated sectors like finance and healthcare. In this context, national governments are increasingly exploring ways to enhance their digital economic capabilities and reduce their reliance on multinational corporations for cloud services.
NetApp's newly introduced Object Storage plugin for VMware Cloud Director offers Cloud Service Providers a seamless means to integrate StorageGRID as their primary Object Storage solution to provide secure Object Storage for unstructured data to their customers. This integration provides StorageGRID services into the familiar VMware Cloud Director user interface, thereby minimizing training requirements and accelerating time to revenue for partners. A noteworthy feature of StorageGRID is its universal compatibility and native support for industry-standard APIs, such as the Amazon S3 API, facilitating smooth interoperability across diverse cloud environments. Enhanced functionalities like automated lifecycle management further ensure cost-effective data protection, storage, and high availability for unstructured data within VMware environments.
The integration of NetApp's Sovereign Cloud with Cloud Director empowers providers to offer customers:
Robust assurance that sensitive data, including metadata, remains under sovereign control, safeguarding against potential access by foreign authorities that may infringe upon data privacy laws.
Heightened security and compliance measures that protect applications and data from evolving cybersecurity threats, all while maintaining continuous compliance with infrastructure, trusted local, established frameworks, and local experts.
A future-proof infrastructure capable of swiftly reacting to evolving data privacy regulations, security challenges, and geopolitical dynamics.
The ability to unlock the value of data through secure data sharing and analysis, fostering innovation without compromising privacy laws and ensuring data integrity to derive accurate insights.
VMware Sovereign Cloud providers are dedicated to designing and operating cloud solutions rooted in modern, software-defined architectures that embody the core principles and best practices outlined in the VMware Sovereign Cloud framework. Workloads within VMware Sovereign Cloud environments are often characterized by a diverse range of data sets, including transactional workloads and substantial volumes of unstructured data, all requiring cost-effective and integrated management that is compliant with regulated standards for sovereign and regulated customers.
In addition to the aforementioned advancements, NetApp also announced a collaborative effort with VMware aimed at modernizing API integrations between NetApp ONTAP and VMware vSphere. This integration empowers VMware administrators to streamline the management and operations of NetApp ONTAP-based data management platforms within multi-tenant vSphere environments, all while allowing users to leverage a new micro-services-based architecture that offers enhanced scalability and availability. With the latest releases of NetApp ONTAP and ONTAP Tools for vSphere, NetApp has significantly made protection, provisioning, and securing modern VMware environments at scale faster and easier, all while maintaining a centralized point of visibility and control through vSphere.
NetApp ONTAP Tools for VMware provides two key benefits to customers:
A redefined architecture featuring VMware vSphere APIs for Storage Awareness (VASA) integration, simplifying policy-driven operations and enabling cloud-like scalability.
An automation-enabled framework driven by an API-first approach, allowing IT teams to seamlessly integrate with existing tools and construct end-to-end workflows for easy consumption of features and capabilities.
Oracle | September 25, 2023
Oracle introduces a data, analytics, and AI platform for Fusion Cloud Applications to enhance business outcomes.
The platform offers 360-degree Data Models, Prescriptive AI/ML Models, Rich Interactive Analytics, and Intelligent Applications.
Oracle plans to extend the platform to NetSuite and other industry applications, enriching analytics offerings.
Oracle has recently unveiled the Fusion Data Intelligence Platform, a cutting-edge data, analytics, and AI solution designed to empower Oracle Fusion Cloud Applications users to enhance their business outcomes through the fusion of data-driven insights and intelligent decision-making. This groundbreaking platform, which builds upon the foundations of the Oracle Fusion Analytics Warehouse product, offers business data-as-a-service with automated data pipelines, comprehensive 360-degree data models for critical business entities, interactive analytics, AI/ML models, and intelligent applications. These ready-to-use capabilities run on top of the Oracle Cloud Infrastructure (OCI) Data Lakehouse services, including Oracle Autonomous Database and Oracle Analytics Cloud, thereby facilitating complete extensibility across data, analytics, AI/ML, and application layers.
The Oracle Fusion Data Intelligence Platform presents the following suite of pre-built capabilities that are designed to empower Oracle Fusion Cloud Applications users to unlock the full potential of their data:
360-Degree Data Models: This will equip business users with a cohesive and comprehensible representation of their organizational data, allowing them to discern the intricate relationships between data and business processes. By providing a range of conformed data models based on Oracle Fusion Cloud Applications data and other data sources, this platform offers a 360-degree view of various facets of a business, including customers, accounts, products, suppliers, and employees.
Prescriptive AI/ML Models: Leveraging pre-configured AI/ML models, such as workforce skills assessment and customer payment forecasting, organizations can solve specific business problems by automating labor-intensive tasks, freeing up resources for strategic endeavors. Furthermore, it empowers organizations to rapidly analyze substantial datasets, uncovering invaluable insights and patterns that can drive business growth and efficiency.
Rich Interactive Analytics: Business users can seamlessly explore and visualize their data using pre-built dashboards, reports, and key performance indicators (KPIs). Additionally, Analytics Cloud features like natural language query, auto insights, and mobile applications allow quick access to data and insights.
Intelligent Applications: These applications go beyond providing insights offering intelligent recommendations based on pre-existing data models, AI/ML models, and analytics content. They enable organizations to make informed decisions swiftly, ultimately improving business outcomes.
The Fusion Data Intelligence Platform is a pivotal step in a long-term vision to transition from data and analytics to actionable decisions that drive business success. Importantly, this platform will extend its reach beyond Oracle Fusion Cloud Applications, with plans to offer the same foundational platform for NetSuite and across various Oracle industry applications, such as healthcare, financial services, and utilities, to facilitate cross-domain insights.
The Fusion Data Intelligence Platform includes an extensive portfolio of ready-to-use analytics for Oracle Fusion Cloud Enterprise Resource Planning (ERP), Oracle Fusion Cloud Human Capital Management (HCM), Oracle Fusion Cloud Supply Chain & Manufacturing (SCM), and Oracle Fusion Cloud Customer Experience (CX). These analytics offerings have been further enriched with the following additions:
Oracle Fusion ERP Analytics: The introduction of Accounting Hub analytics empowers finance teams to create a system of insights for accounting data sourced from Oracle Accounting Hub sub-ledger applications.
Oracle Fusion SCM Analytics: New Manufacturing analytics provide manufacturers with timely insights into work order performance, enhancing shop floor efficiency by rapidly identifying anomalies and continually optimizing plan-to-produce processes by connecting insights across supply chain data.
Oracle Fusion HCM Analytics: The addition of Inferred Skills, Payroll Costing, and Continuous Listening analytics equips organizational leaders with integrated workforce insights, covering employee skills, payroll trends and anomalies, and the efficacy of a continuous listening strategy at any given point in time.
Oracle Fusion CX Analytics: The new Quote-to-Cash analytics extend the analysis beyond the lead-to-opportunity pipeline by offering insights into how the price, contract, and quote process influences the overall customer experience.
Big Data Management
PR Newswire | October 26, 2023
Databricks, the Data and AI company, today announced it has agreed to acquire Arcion, a Databricks Ventures portfolio company that helps enterprises quickly and reliably replicate data across on-prem, cloud databases and data platforms. This will enable Databricks to provide native solutions to ingest data from various databases and SaaS applications into the Databricks Lakehouse Platform. The transaction is valued at over $100 million, inclusive of incentives.
Data Lakehouse Platforms have emerged as the de facto standard for enterprise data and AI platforms. However, these data platforms are only as valuable as the data in them. Ingesting data from existing databases and applications remains complicated, fragile, and costly. Troves of important data sit not only in transactional databases such as Oracle, MySQL, and Postgres, but also in SaaS applications such as Salesforce, SAP, and Workday. According to a recent MIT Technology Review Insights and Databricks survey of senior data and technology executives ("Laying the foundation for data- and AI-led growth"), businesses still suffer from many siloed systems; 34% have 10+ systems, and of the largest companies, more than 80% have 10+ systems to juggle.
This acquisition will enable Databricks to natively provide a scalable, easy-to-use, and cost-effective solution to ingest data from various enterprise data sources. Building on a scalable change data capture (CDC) engine, Arcion offers connectors for over 20 enterprise databases and data warehouses. The integration will simplify ingesting such data either continuously or on-demand into the lakehouse, fully integrated with the enterprise security, governance, and compliance capabilities of the Databricks platform.
To build analytical dashboards, data applications, and AI models, data needs to be replicated from the systems of record like CRM, ERP, and enterprise apps to the Lakehouse, said Ali Ghodsi, Co-Founder and CEO at Databricks. Arcion's highly reliable and easy-to-use solution will enable our customers to make that data available almost instantly for faster and more informed decision-making. Arcion will be a great asset to Databricks, and we are excited to welcome the team and work with them to further develop solutions to help our customers accelerate their data and AI journeys.
"Arcion's real-time, large-scale CDC data pipeline technology extends Databricks' market-leading ETL solution to include replication of operational data in real-time," said Gary Hagmueller, CEO of Arcion. "Databricks has been a great partner and investor in Arcion, and we are very excited to join forces to help companies simplify and accelerate their data and AI business momentum."