Name: Data Platform Capabilities for Modern Data Management Architectures
Start: 2023-04-19T18:00:00Z
End: 2023-04-19T18:59:28.000Z
Location: BrightTALK
Rating: 5

Integrating and managing data across disparate silos is complex but with MarkLogic by Progress, it doesn't have to be. The MarkLogic Data Platform (including Semaphore metadata management) unlocks value from your most critical business data with more agility and security than ever before. This channel is dedicated to showcasing real-world examples of how customers and partners have simplified complex data with MarkLogic and Semaphore. Learn how you too can rapidly deliver value back to the business by leveraging data that historically was inaccessible without months—or even years—of development.

Welcome to the launch of the MarkLogic Community Program from your Customer Success team at Progress | MarkLogic

Join us for the launch of our new MarkLogic Community Program, designed to bring together MarkLogic experts, customers, partners, and future MarkLogic innovators.  Joining us during these monthly webinars will be our team of expert MarkLogic engineers and developers, along with industry leaders, to discuss the latest innovations in our data platform.

Regular updates will include topical discussions of trending data-related subjects, real-world experiences from our customers and partners, spotlights on key features found in our data platform, as well as Q&A sessions to share ideas, discuss challenges, and pool our collective knowledge from our community as a whole.

Join us June 29th at 3 pm BST (9 am ET) for our next live Community event - https://events.zoom.us/ev/Ah3YYow5BRpQPZuHPLHNB7ujfNHWEQcftaUQUSXjNOwT00RsUPpx~Aim_uhbktArcUrqR70nw3KRKa66beumY2JrzXqArQsUHDy6FnC5TIZTPgQ

MarkLogic Community Program - Launch Event

Join experts from MarkLogic by Progress and Birlasoft for a conversation about successful innovations in data and analytics in the pharma industry. We'll discuss key challenges and trends, problems with traditional approaches, and real-life examples of pharma companies that have unlocked more value from their complex data.

Modernizing Data & Analytics: Delivering Data Agility for Pharma Companies

This next session in the Vision series follows on from the previous Data Governance discussion to focus on the specifics of Regulatory Compliance.

While Governance is a universal concept, for Regulated Industries it is Governance alongside other capabilities such as data quality, data context, data security, and data unity that ensures trustworthy regulatory data processing, reporting, and analytics. 

This session explores the common data requirements faced by all regulatory processes, with an in-depth walkthrough of what is needed to achieve agile data compliance. The session concludes with a question-and-answer conversation with Jeremy Bentley, Head of Strategy, at MarkLogic.

A Smarter Approach to Regulatory Compliance

These days, it seems everyone is talking about knowledge models—but what exactly are they, and how do you get YOUR data into them? In this demo, we’ll show you how you can build and enrich metadata knowledge models using our no-code software: Semaphore by Progress.

Create & Enrich Knowledge Models with Semaphore

One responsibility of corporate compliance programs is limiting exposure to sanctions liability. Companies need to know who they are doing business with – and ensure that those entities are not on sanctions lists. In this demo, we’ll show how you can use the MarkLogic data platform to: ingest and review multi-structured data; model and classify data from internal and external data sources like OFAC and news articles to improve data quality and discover hidden connections; and deliver the data for consumption by your compliance team.

Using the MarkLogic Data Platform for Regulatory Compliance

Jeremy will discuss why organizations need to take a new approach to data governance. He’ll share examples of organizations who have used innovative solutions to manage and govern their complex data to unlock value. Attendees will learn: 

·        The role of data governance in achieving business objectives 

·        Why organizations typically struggle with traditional data governance processes and tools 

·        How new trends like AI will impact data governance requirements 

·        What technology solutions are available to deliver data quality, security, completeness, unity and context

Overcoming Common Data Governance Pitfalls and Achieving Data Agility

Join us on the 25th of January at 4 pm GMT (11 am ET | 8 am PT) for the second part of our MarkLogic 11 launch – A Technical Deep Dive in MarkLogic 11.

Get a tour of the new features and functionality from James Kerr, Senior Director of Engineering at MarkLogic and other MarkLogic data experts, developers, architects, and engineers. Technical overviews and demos will give you an in-depth look at the improvements and additions to our core data platform.

Some of the features James and the team will discuss:
• Optic API Improvements
• Geospatial Additions
• GraphQL Querying 
• Security Additions and Improvements
• Along with a few other surprise additions

The session includes a Q&A portion for our product experts to answer your questions so you can accelerate your start with MarkLogic 11. Even if you can’t make it, your registration will give you access to the on-demand recording.

If you missed part one of the MarkLogic 11 launch, "Agile Innovation with MarkLogic 11," you can find the on-demand recording here on our BrightTalk channel.

A Technical Deep Dive into MarkLogic 11

Healthcare information relies on numerous codesets for classification and designation.  Provider codesets are dynamic and managing different versions of these codesets and their associated crosswalks between them is critical.  Errors in translation result in delayed services and payment.  Semantic technologies can enable the effective management of these codesets as well as extend their value to other important services.  In combination with medical taxonomies and other purpose-specific vocabularies, they can improve access to important healthcare documentation and enable improved navigation to search tools designed for specialists and patients alike. 

In this webinar, you will learn about how semantic technologies can leverage codesets and taxonomies from organizations like the NUCC to simplify integration, improve data governance and facilitate access to healthcare information.

Driving the Value of Codesets with Semantics - State Health IT Industry Insight

This is a two-part special to launch MarkLogic 11 and give you an overview of the new direction we’re taking our data platform.  Jeff Casale, MarkLogic CEO will give his keynote address, giving you a great insight into how we are going to develop MarkLogic, the agile nature of this development and why we are innovating in such a fashion.  Afterwards Jeff we will be joined by MarkLogic’s Chief Customer Officer, John Loparco for a fireside chat about the role our customers play in the development of MarkLogic and why we are taking such a customer-focused approach to our data platform’s development.  Chairing this discussion will be our special guest speaker, Chris J. Preimesberger, Writer/editor at VentureBeat & ZDNet as well as Editor Emeritus at eWEEK. 

During the event we’ll give you a sneak-peak at MarkLogic 11’s new features including:

- Extended platform capabilities including BI tool integration (GraphQL support), GIS tool integration (enhanced OpenGIS and GeoSPARQL support) and a new security option for external authentication (OAuth).
- Enhanced multi-model analytics that extend our unique multi-model query language to include geospatial, and even easier integration with BI tools like Tableu
- Geospatial analysis – a more flexible model for indexing and querying geospatial data, scalable export of large geospatial result sets, interoperability with GIS tools; includes support for OpenGIS and GeoSPARQL
- Queries at scale – Improved support for large analytic, reporting, and/or export queries
- Docker and Kubernetes support

For more details on MarkLogic 11, go to our dedicated ML11 page at www.marklogic.com/ml11/

Agile Innovation with MarkLogic 11

Join us for a special "Customer Spotlight" edition of our popular Digital Acceleration series. 


Universities across the world contain vast cultural heritage collections spanning galleries, libraries, archives, and museums. Each collecting unit often stores information in separate collections management systems and DAMs, resulting in a siloed search experience for researchers and users. One leading Ivy League university is engaged in a multi-year project to create a single, web-based platform to allow visitors, researchers, students, and scholars from around the world to explore their expansive cultural heritage collections. This new platform – expected to launch in 2023 – will foster and support cross collection discovery and integration across museum and library collections—both physical and digital—with a single, widely accessible search and discovery system. You'll get in-depth project details and learn why the MarkLogic data platform is central to its success. Register now to save your seat!

Cross Collection Discovery for a Leading Ivy League University

Watch this demo to see how you can use the MarkLogic data platform to extract information from PDF documents, map this new information to an existing data model, and visualize the enriched data in Tableau.

Connect, Create, and Consume Data: From Unstructured Text to Dashboards

In part 1 of this 2-part series, we explore the importance of metadata, its capture, and the context, meaning, and insight it adds to make your data machine interpretable—easier to understand so that it can be used to drive more value across your business and to customers. Now in part 2, we'll demonstrate how to connect and query any data—including SQL—and metadata with a single, powerful tool: the MarkLogic Optic API.

Our revolutionary Optic API blends the relational world with rich NoSQL document features by providing the capability to perform joins and aggregates over documents. One of the enabling features, Template Driven Extraction, makes it possible to create a relational lens over documents stored in MarkLogic by using templates to specify the parts of a document that make up a row in a view. You can access that data, including relational, graph, document, and—coming soon in MarkLogic 11—geospatial data, using either SQL or the Optic API.

Metadata: Agile Integration with the MarkLogic Optic API

Join us for part 1 of this 2 part webinar series to explore the importance of metadata, its capture, and the context, meaning, and insight it adds to make your data machine interpretable—easier to understand so that it can be used to drive more value across your business and to customers. Then, connect and query any data—including SQL—and metadata with a single, powerful tool: the MarkLogic Optic API.

On 17th November at 4pm GMT, part 2 of the series will provide a technical deep dive into the MarkLogic Optic API, a revolutionary solution that blends the relational world with rich NoSQL document features by providing the capability to perform joins and aggregates over documents. Discover the enabling features of the Optic API including Template Driven Extraction, which makes it possible to create a relational lens over documents stored in MarkLogic by using templates to specify the parts of a document that make up a row in a view. Then access that data, including relational, graph, document, and—coming soon in MarkLogic 11—geospatial data, using either SQL or the Optic API. 

Be sure to register for both parts of this educational series to secure your seat.

Metadata: What, Why, and How

A universal repository combines data of all kinds – from Word and Excel documents and PDFs, to JSON and XML, to data coming from relational systems, to semantic triples. Being able to access all this data in an integrated whole is what makes a universal repository so valuable – but end users often want to consume data in a tabular SQL form, not in JSON or XML. In this webinar, we’ll show you how you can use SQL views in MarkLogic to get the benefits of a semantically enabled, multi-model universal repository without needing your users to know SPARQL or complex Javascript.

Consume Data from a Universal Repository

MarkLogic solves complex data problems of an enterprise. At the same time, it is common that MarkLogic is brought into the middle of a bigger technical landscape having multiple messaging systems, mainframes, relational databases, API gateways, BI, analytical, machine learning systems, etc. In this webinar, we will see how MarkLogic can easily fit in a complex enterprise architecture landscape. We will review some common patterns and demonstrate examples of using MarkLogic to ingest data and make it available for consumption to downstream systems.

MarkLogic Demo: Connect and Consume Data

The Comprehensive Child Welfare Information System (CCWIS) or Statewide Automated Child Welfare Information Systems (SACWIS) contain a wealth of data, but it doesn't tell the whole story. Valuable data may also reside in other systems such as SNAP, TANF, Medicaid, or Child Support. The ability to quickly have a holistic view of a Person, Case & Service history, or other external factors, leads to better decisions and better outcomes. 

A data first strategy can help agencies leverage a variety of data sources across programs and external entities to equip case workers in making the right decisions. The spirit of CCWIS was founded on quality data for sharing to inform best case practice. Wherever you are on your modernization journey, MarkLogic has solutions that can provide near-term results and a long-term component of a modern technical architecture. 

Expert speakers discussed: 

- Hear from a former child welfare state director about the challenges caseworkers are facing that can be addressed by a data first approach, 
  reducing frustration which perpetuates the workforce retention issues that agencies are facing.
- Understand how our unique solution can integrate critical data silos quickly and easily with a unique and sustainable approach.
- See how you can identify connections and patterns that inform your work
- Identify what your child welfare practice needs to do to ready for embracing a data first approach

Solving the Child Welfare Data Sharing Problem

Modernizing Medicaid Enterprise Systems (MES) involves integrating new modules and building a robust, agile data infrastructure to connect them all and satisfy reporting and operational needs. An MES data infrastructure connects and enables all modules—ideally starting at the evaluation and procurement phase – and evolving to knit them together into a system of systems. This talk discusses how and why to set up data processing as its own workstream in an Operational Data Store, early, rather than as a secondary or just-in-time activity while integrating modules. A modern, agile, flexible data infrastructure, with a powerful ODS, done right and done first, avoids a number of pitfalls seen in various state efforts. We will cover actual pitfalls and outline principles that help prevent them.

The Missing Module:  Data Processing As A Workstream For Medicaid Modernization

Unlocking the value of data mesh with Data Architecture as a Service

Anti-patterns of data architectures

Accelerating Time to Value with Snowflake

Real-time, Scalable Applications Powered by a Modern Data Platform

Data-driven success: How modern data architecture unleashes business value

Data Lineage & Knowledge Graphs: Similarities and Differences

Choosing the right data platform for your business

FAIR data: Superior data visibility and reuse without warehousing

Building an Open Data Lake House Using Trino and Apache Iceberg

Embedded Analytics: Architecture and Experience

Data Architecture Best Practices

Data management methods are evolving quickly, as enterprises invest in gaining data agility to accelerate insightful decision-making. Modern data management is being driven by an accelerated shift to data in the cloud and the subsequent innovation in data technologies and advanced analytics. Enterprises are recognizing new opportunities to derive value from their data and to save time and money, and they’re taking a fresh look at new data management approaches to reap the rewards of smarter and accelerated decision-making. 

In response to this demand for more modern data treatments, a confusing array of architectures, technologies, and approaches has sprung up – and it’s not easy to tell which ones will truly deliver better business outcomes and which ones are just hype. Should you invest in graph technology and metadata management? What exactly is a data fabric? How can you leverage the power of AI and machine learning? 

This session will take a look at trends in data management that are worth investigating, and explain how a modern data platform can help you implement them in a way that delivers business value for your enterprise.

Data Platform Capabilities for Modern Data Management Architectures

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