Best Data Management Software for Switch Automation

Easy creation of database apps in formats that best suit your business. Only for PC. Access is an easy-to use tool to create business applications from templates or from scratch. Access's rich and intuitive design tools will allow you to create highly functional and appealing applications in a short time. You can tailor your apps to suit your business and customers by easily editing as necessary to meet changing needs. Visual Basic for Applications allows you to automate business processes, create more useful forms, and report. Access connector library allows you to integrate data between Access and line of business apps. This will allow you to generate aggregated visuals, insights, and visuals in the familiar Access interface. Store data in SQL Server or Microsoft Azure SQL for improved reliability, scalability and security.

IBM Aspera® provides high-speed data transfer solution that moves large datasets quickly and securely, regardless of network conditions. It maximizes transfer speeds (up to 100x faster) using proprietary FASP® technology and scales effortlessly with no limits on data size or volume. IBM Aspera offers flexible deployment options, including self-managed software, SaaS, or hybrid models, to support modern infrastructure needs. It enables global transfer, distribution, and synchronization of massive files and datasets, accelerating collaboration for teams working with big data and large files. With automation, monitoring, and control features, it streamlines data transfers and workflows while building highly scalable solutions that can run on-premises, in the cloud, or both. Additionally, IBM Aspera enhances digital asset security by integrating blockchain technology.

IBM Analytics Engine is an architecture for Hadoop clusters that separates the compute and storage layers. Instead of a permanent cluster of dual-purpose nodes the Analytics Engine allows users store data in an object storage layer like IBM Cloud Object Storage. It also spins up clusters with computing notes as needed. The flexibility, scalability, and maintainability of big-data analytics platforms can be improved by separating compute from storage. With the Apache Hadoop and Apache Spark ecosystems, you can build an ODPi-compliant stack that includes cutting-edge data science tools. Define clusters according to your application's needs. Select the appropriate software pack, version, size, and type of cluster. You can use the cluster for as long as you need and then delete it as soon as the job is finished. Create clusters using third-party packages and analytics libraries. Use IBM Cloud services to deploy workloads such as machine learning.

Intelligent Data Mobility offers customers the flexibility, simplicity, and efficiency to seamlessly perform data migrations and workloads using technology, automation, and Dell EMC expertise. Intelligent Data Mobility uses a standard methodology to reduce the time and cost of adding storage. Our methodology is built around three pillars: discovery, planning, and execution. It's simple, repeatable, vendor- and platform-agnostic, and highly repeatable. Reduce the complexity, cost, and time required for data migration. Accelerate time to value on new storage. While Dell EMC experts migrate data, you can focus on your business. Dell EMC's proven, standardised and vendor-agnostic methodology is your opportunity to benefit. Customers can seamlessly move data and workloads using technology, automation, and Dell EMC expertise. Data migration can be simplified, speeded up, and cost-effectively reduced.

IBM Analytics for Apache Spark allows data scientists to ask more difficult questions and deliver business value quicker with a flexible, integrated Spark service. It's a simple-to-use, managed service that is always on and doesn't require any long-term commitment. You can start exploring immediately. You can access the power of Apache Spark without locking yourself in, thanks to IBM's open-source commitment as well as decades of enterprise experience. With Notebooks as a connector, coding and analytics are faster and easier with managed Spark services. This allows you to spend more time on innovation and delivery. You can access the power of machine learning libraries through managed Apache Spark services without having to manage a Sparkcluster by yourself.

IBM® Application Discovery and Delivery intelligence (ADDI), is an analytical platform that supports application modernization. It uses cognitive technologies to quickly analyze mainframe applications and discover and understand interdependencies of modifications. Rapidly improve mainframe applications to increase revenue. You will quickly see the return on your investment. To anticipate problems and reduce development costs, it is important to better understand the complexity of applications. Hybrid cloud allows you to rapidly evolve systems and applications. App insights can help you accelerate your digital transformation and lower risk. Rapid analysis capabilities allow you to quickly discover the relationships between components of your IBM OS® applications, and determine the impact of any potential changes. You can quickly find business rules, code snippets, and APIs to help you support your business processes.