Forrester Total Economic Impact Report - for Hitachi Vantara Cloud Services

Modernizing the core itself doesn’t differentiate an Enterprise, it’s the ability to deliver personalized experiences, value-added data and insights, and ancillary services that extend from a modernized core that makes an Enterprise stand out. Building a strong agile and adaptable core to plug and play with modern data management strategies and data science expertise can help you open new markets and new ecosystem for your Enterprise. ​ In this webinar, learn how organizations are changing business models to innovate and power growth. Join us to understand how enterprises are keeping “experiences” and “business outcomes” top of mind to drive their digital strategies around edge, cloud and data.

In this webinar, you'll learn how to reshape your supply chain for resilience by: Using integrated logistics control towers to gain real-time visibility into operations. Repurpose assets, inventory, and capabilities to balance supply and demand. Encouraging proactive communication with onsite and remote workers, suppliers, carriers, and customers.

Is duplicate data weighing you down? For many organizations, duplicate data makes up a significant portion of their data lake operating cost. It arises organically – analysts and scientists improve a data set they’re working on, save it, continue, save it again. Their peers do the same. The next thing you know, you have 10, 25, 100 copies of a data set, with minimal true differences. Updating one without changing the other copies leads to bogus results, leaves sensitive data unsecured and even adds unnecessary cost pressures. In the past, cost to maintain duplicate data were covered by IT. But with moves to public cloud, funded with your op-ex budget, these duplicates become materially cost prohibitive. Duplicate data is also a risk for data breaches and other regulatory violations. It does no good to defend the “production” version, if the other copies are less protected.

In this session we’ll discuss Lumada Data Catalog, and how its Data Rationalization feature can help you discover and tame your duplicate data.

Learn directly from the customer: Why did EUMETSAT pick Hitachi Vantara’s Hybrid Data Storage solution to store their Satellite-data, what is their view on the implementation with Hitachi and SVA, and what is EUMETSAT’s experience with the solution so far.

Many data lakes and data warehouses will be deployed or migrated to a cloud platform in the next 3 – 5 years. Additionally, cloud preferences to support data management will lead to a multicloud environment - increasing data governance and integration complexity.

Join Anand Rao, Fred Schults and Jason Tiret to see how Lumada DataOps Suite reduces cloud migration costs while enabling you to blend on-premises data with cloud data. Learn how you can reduce your processing time window while scaling to meet your data volume in a multicloud environment with Lumada's Pentaho Data Integration.

Join our webinar on Thursday, April 15, to see how the latest features can help you in your cloud data initiatives.

One of the toughest challenges for data professionals today is migrating data from on-premise environments to the cloud. Many companies still lack the tools and infrastructure to ingest and process complex datasets to achieve critical business outcomes. Tune in for a joint-session with Snowflake and Hitachi Vantara as we discuss best practices to address common edge-to-multicloud issues and how our joint offering can dramatically simplify data preparation, migration, and analytics tasks to help deliver analytics-ready data in the cloud.

Is your most valuable business data trapped in legacy databases? Is your data siloed, complex, growing in volume and variety? Relational database management systems (RDBMS) have become the bottleneck to business innovation, slowing down business innovation. - MongoDB in combination with Pentaho helps you meet this data challenge. You can innovate your legacy applications no longer throttled by monolithic RDBMS backend. And you create the operational data stores needed to unify your data. Join DataOps experts from MongoDB and Hitachi Vantara to learn how to accelerate data ingestion and migration.

Do you need to increase speed to insights by collecting and managing your remote data?

Is migration to the cloud reducing your data governance?

Is changing your data architecture resulting in an imbalance between performance and cost?

If you answered "Yes" to any of those questions, you need DataOps. This alignment of process and technology increases return on data to:

• Increase speed to insight
• Improve data governance
• Make data infrastructure agile

Join our webinar "Maximize Return on Data with DataOps and Lumada" and learn how your industry peers have adopted DataOps practices and the benefits they received from a prominent industry analyst. We will be sharing how Hitachi's Lumada DataOps Suite delivers AI-driven automation and collaboration across multicloud, core, and edge to provide advanced insights based on trusted data.

We’re excited to announce that Pentaho 9.1 is now available! In this release, Hitachi Vantara has embedded new Lumada DataOps Suite capabilities into Pentaho, enabling you to tackle a broader set of data management challenges. With tighter integration between the Lumada Data Catalog (LDC) and Pentaho, you can develop better 360-degree views and accelerate time to insights with greater metadata capabilities within PDI. This is just the first of many new Lumada innovations that will help you access, prepare, and analyze all data from any source, in any environment with Pentaho.

Are you ready to harvest the massive real-time data that your organization generates? Mastering streaming data is critical to gain an edge in business, in every industry. But most businesses still rely on batch and incremental processing.

If that’s you, don’t despair. Join this session to understand key concepts, common technologies and best practices you need to succeed with streaming data. You will also learn about the Hitachi Vantara streaming data stack and how we can help you meet your goals. The session is led by an expert in the field, who has implemented IoT solutions and streaming data integration pipelines for organizations across North America.

As selling trends and player habits change, data becomes an increasingly important part of the modern video game experience – It’s an actual game changer. By collecting data on gameplay, one video game maker creates a futureproof business model with titles that players will play again and again. In this session we’ll show you how Hitachi Vantara helps this customer with their DataOps strategy of getting the right data, to the right people at the right time to ensure today’s success of game titles, which is based on one of the most successful video game franchises.

Organizations that are enjoying the some of the greatest benefits from their data are ones that can provide greater access to more data in a more efficient manner. This session explores how the Lumada Data Services portfolio components can be combined to achieve these goals. Greater access is achieved via self-service data discovery & provisioning and automated protection of sensitive information. Lumada can tap into new data sources such as sensors, video and text to provide more data for greater insight. Efficiency is achieved by abstracting low-level data source details and by optimizing technology and environments such as edge computing and data lakes. We show how Pentaho, Lumada Data Catalog, Lumada Edge Intelligence, Lumada Data Optimizer and other Hitachi Vantara technologies work together to support the data-driven business.

Gartner predicts that 75% of all databases will be on a cloud platform by 2023 despite more than half of databases being on-premise today. To effectively navigate this period of disruption, organizations should prioritize three critical capabilities: Data automation, governance, and portability. In this session, Cloudera and Hitachi Vantara will discuss how they are addressing this period of disruption in cloud migration for big data workloads. We will focus on best practices as well as highlight successful implementations using our joint solution.

The growing waves of data you’re pulling in include sensitive, personal or confidential data. This can become compliance nightmare, especially with rules around PII, GDPR and CCPA. Especially as it takes simply too much time to manually decide what should be protected.

In this session, we will show how AI-driven data catalogs can identify sensitive data and share that identification with your data security platforms to automate its discovery, identification and security. You will see a demonstration of how this dramatically reduces your time to onboard data and make it safely available to your business communities.

See how to build effective data catalogs with thoughtful input, a sharp focus on business objectives – and the experience of those who have gone before. Modern data catalogs are used by leading organizations in industries like Financial Services, Healthcare, and Manufacturing. They incorporate best practices that can help you avoid the traps and pitfalls that others have already experienced. This session shows you production-proven, operationally-sound best practices to make your data catalog implementations smoother and more successful.

As your organization continues to work with more and more data, you might feel like drowning in a sea of data: Data is coming at you from more sources and at a faster pace than ever. Your business users face their own challenges with all this data, too. How can they find what they need, assess its quality and trustworthiness so that they can get on with driving outcomes for the business? In this session, we'll show how Lumada’s AI-driven data catalog can automate your process of discovering, profiling and tagging your data so that both your technologists and your business users will rapidly find the data they need.

AI driven auto-tagging helps tame the data swamp, uncovering data semantics and relationships between siloed data assets. Data lineage is critical to an AI driven enterprise, driving all business decisions while maintaining regulatory compliance. It is also difficult to implement at scale, not only because large quantities of data across numerous systems must be inventoried and tracked, but also because the data is not static and needs context to make sense to the business. Business rules enable users to leverage metadata to derive sophisticated business specific metadata for your environment.

If you are a data management or governance and risk practitioner evaluating enterprise data catalogs, this webinar is for you. We will walk through key business challenges around catalogs and demonstrate how auto-tagging, data lineage and business rules can help address them.

Data Governance and Compliance Part 2:

In the second part of this webinar, we explore how your data management solutions can support regulatory compliance and open up new business models for organizations of all sizes. You’ll see an overview of how business and IT leaders approach compliance and understand the benefits they realize. We’ll show you how to apply the right technology and business objectives to data retention, data architecture, and automated controls to accelerate your digital transformation initiatives.