Data may be managed in different parts of an institution, but the institution retains ownership. This principle begins to break down barriers between data silos and can start the cooperative process required for success. As progresses, Tambellini will be producing research on these topics. We believe strongly that these are efforts that are critical at any time but are especially critical as you prepare for large projects in the coming year.
Creating a robust data management program can ease the burden of making changes to your environment and build meaningful outcomes to improve the performance of the entire organization. Get exclusive access to higher education analysts, rich research, premium publications, and advisory services. Member Login. Establishing a Data Management Program. Dave Kieffer. Estimated Reading Time: 6 minutes. Subscribe to Top of Mind with Tambellini Group. Subscribe RSS.
Share Article:. Share on linkedin. Share on twitter. Share on facebook. Principal Analyst. Dave Kieffer is responsible for directing research focused on R1, R2, and large public institutions and their strategic decisions around student, finance, and HCM systems at Tambellini Group. He brings more than 30 years of creating, implementing, and managing enterprise-class applications in higher education.
His experience includes all levels of applications development and management in higher education. Among other things, he has been responsible for ERP implementations, mobile and web development, application architecture and integration technologies.
Other Posts From this Author:. Oct 27, Sep 8, Aug 25, All Rights Reserved. Inquire about Membership. Higher Education Institutions. Log In Here. Become a Member of The Tambellini Group. Be a Top of Mind Podcast featured guest. Request a Briefing with a Tambellini Analyst. Suggest your research topics. Subscribe to Tambellini's Top of Mind. Weekly email featuring higher education blog articles, infographics or podcasts. Backups to Amazon S3 are continuous, incremental and automatic.
Redshift also includes Redshift Spectrum, allowing users to directly run SQL queries against large volumes of unstructured data without transforming. Description: Ataccama ONE is a comprehensive master data management product that offers an intriguing list of capabilities for many use cases. The solution offers a machine learning-centric user interface, as well as a data processing engine that is responsible for data transformations, evaluating business rules, and matching and merging rules.
The platform supports any data, domain, and a variety of integrations. Description: Cloudera provides a data storage and processing platform based on the Apache Hadoop ecosystem, as well as a proprietary system and data management tools for design, deployment, operations and production management.
Cloudera acquired Hortonworks in October It followed that up with a buy of San Mateo-based big data analytics provider Arcadia Data last September. It describes the structure of a piece of data, its relationship to other data, and its origin, format, and use. The solution serves as a searchable repository for users who need to understand how and where data is stored and how it can be used.
Users can also document roles and responsibilities and utilize workflows to define and map data. Collibra is unique because the product was built with business end-users in mind. Description: Commvault is well-known in the backup and disaster recovery marketplace, performing as one of the top solution providers. The company also offers a cloud data management product that allows organizations to manage data via on-prem and cloud deployments. Users can fully manage data across files, applications, databases, hypervisors, and clouds including Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud.
Description: Druva Phoenix offers data availability and governance functionality for virtual machines and physical servers. Its cloud-centric approach is unique and combines high-performance, scalable backup, disaster recovery, archival, and analytics. The product can be deployed quickly at sites located around the world while also aligning with regional data storage regulations. Phoenix can also be managed from a central location to provide full control over server backups and data composition.
Description: Google offers a fully-managed enterprise data warehouse for analytics via its BigQuery product. The solution is serverless and enables organizations to analyze any data by creating a logical data warehouse over managed, columnar storage, and data from object storage and spreadsheets. The product also provides users the ability to share insights via datasets, queries, spreadsheets and reports.
The vendor offers a cloud-based database management solution on Amazon Web Services, Microsoft Azure, or via an individually licensed model. Vertica provides an MPP SQL analytical database with linear scaling native high availability that allows organizations to query data in near real-time. Description: Hitachi Vantara is a wholly owned subsidiary of Hitachi, Ltd. The tool also provides data protection and recovery for complex enterprise architectures.
Description: IBM has data management products for virtually every enterprise use case. Its products can be deployed in any environment, and partnerships with some of the other top names in the marketplace make it an even more intriguing option for organizations with large workloads and expansive data jobs.
The product features an intuitive policy builder that provides author policies in plain English, without code so security leaders can write policies across any data. Immuta also enables compliant collaboration via projects, controlled workspaces where users can share data.
When users switch projects, they assume the right permissions and controls. The tool features purpose-built connectors to hundreds of data sources, real-time streaming, and mass ingestion.
Description: MarkLogic offers an operational and transactional enterprise NoSQL database that is designed to integrate, store, manage, and search for data. Organizations can ingest structured and unstructured data with a flexible data model that adapts to changing data. The database has ACID transactions, scalability and elasticity, and certified security as well. Description: Microsoft offers an array of data management products, including those for analytics, data governance, and even data virtualization.
Its SQL Server solution provides data warehousing for both on-prem and cloud deployments, as well as an in-memory database. Microsoft allows organizations to access, store, and analyze any kind of data and even offers fully-managed Hadoop and Spark. The company is one of the major players in the overall big data marketplace, with top-ranked tools in business intelligence and data integration.
The company also offers an autonomous data warehouse cloud with more than 2, SaaS applications. The platform runs the gamut of big data functionality, with support for data integration and analytics as well.
Integrate is its data integration line that features Precisely Connect, Ironstream , Assure, and Syncsort. Description: Riversand is a master data management MDM and product information management solution provider.
In addition, Riversand includes high-scale computing, a set of streamlined collaboration tools, and data governance functionality.
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