Name: Solving Data Fragmentation Challenges with Embedded Data Virtualization
Start: 2019-11-01T16:45:00Z
End: 2019-11-01T16:45:57.000Z
Location: BrightTALK
Rating: 0

CData Software is the real-time data connectivity company. Our self-service data products and connectivity solutions provide universal access to live data from hundreds of popular on-premises and cloud applications. Millions of users worldwide rely on CData to enable advanced analytics, boost cloud adoption, streamline operations, and create a more connected business. Consumable by any user, accessible within any application, and built for all enterprises, CData is redefining data-driven business. Learn more at www.cdata.com, or reach a representative via email at info@cdata.com.

Learn why a new approach to data virtualization is needed to remove the biggest bottleneck faced by modern data teams.

- IT leaders: Watch to learn how to think about this new approach to data virtualization within your data management stack.
- Data analysts: Hear from fellow end users on the benefits of accessing live data directly from a variety of source systems.
- CIOs & CDOs: See how self-service data initiatives can be accelerated with a governed approach to live data access across teams.

Data Virtualization, Reimagined

Human resource professionals want to make smart decisions based on data but accessing that data has its challenges, particularly when we’re trying to get data from Workday, the most popular HCM application. Thankfully, CData has released a connector that simplifies the process. Join us to hear from Tableau, CData and Workday partner, RSM, as we explore examples of workforce analytics and demonstrate how to connect to Workday with CData’s connector.

Unlocking Workday Analytics on Tableau

Databricks Sr. Director of Product Management Bilal Aslam joins CData Sr. Technology Evangelist Jerod Johnson and CData Director of Product Management Jaclyn Wands to outline the benefits of the Databricks lakehouse architecture and the simplicity and reliability of data ingestion via CData Sync.

In this webinar you will learn about:

    Ease of use and predictable pricing for ingesting any data source into Databricks
    The lakehouse advantage with Databricks, including Unity Catalog
    The benefits of full ETL/ELT, and why hybrid cloud and on-premises support matters
    Security and firewall considerations for data migration tools

Sync brings together security, scale, affordability, and connectivity to support mass-volume data integration on-premises and in the cloud, while Databricks provides a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale.

Architecting Scalable & Cost-Effective Data Ingestion into Databricks

SharpCloud brings clarity to your portfolio of projects and products with embedded CData Connectivity and powerful project analytics.

By bringing together project data from hundreds of touch points like Azure DevOps and Jira, SharpCloud enables customers to visualize complete project and product roadmaps in one place. With a unified view of project data, project planners, analysts, and engineers can easily identify and understand complex relationships between project data and uncover the ripple effects of project changes.

CData Senior Technology Evangelist Jerod Johnson and SharpCloud CTO & Co-Founder Rusty Johnson demonstrate:

— How project leaders and analysts can report on hundreds of projects in one, central place with total visibility
— How to visualize and analyze scattered project data from Azure DevOps, Jira and other project platforms
— How SharpCloud unifies data in their strategic portfolio management platform with CData Connect Cloud and CData Drivers
— How data-driven solutions like SharpCloud can bring customers connectivity to 300+ data sources with CData solutions
— A real-world analysis of DevOps project data in SharpCloud

Gain Big Picture Insights Across Your Connected Portfolio

Modern businesses increasingly rely upon data analysis to reveal new ways to create competitive advantage, improve operational efficiency, enhance customer engagement, control costs, and develop data monetization strategies.

Yet, several barriers stand in the way of enterprises becoming more data-driven. Data is fragmented and siloed across multiple clouds and on-premises infrastructures, business functions, databases, and applications. Users cannot connect to the data they need when they need it. Fortunately, a new governed cloud approach to self-service data connectivity for the enterprise has emerged.

Get Data-Driven Insights with Direct Data Access
Join Carl Lehmann, 451 Research Senior Analyst, and Vincent Lam, CData VP Marketing & Strategy, to learn the best practices and technologies needed to enable data virtualization for the cloud.

We’ll discuss:

- What's driving the need for enterprises to become more data-driven
- The barriers to simply and rapidly accessing and using data when needed
- How data virtualization for the cloud provides a modern logical real-time access layer for data.
Attendees will learn how to overcome the barriers to data-driven insights, and how data virtualization can simplify and speed connectivity to data across your organization.

CData & 451 Research: Access Data in Real-time with Data Virtualization

Join us for a special presentation with two leaders in the data ecosystem from Microsoft Power BI and TigerGraph:  

    Geoff Fawcett, Principal Technical Specialist, Business Intelligence, Microsoft 
    Victor Lee, Director of Product Marketing, TigerGraph 

TigerGraph is a leading graph database, using data relationships to unlock value through advanced analytics. Graph data has long been popular for entity resolution, fraud detection, and customer 360, and more recently for training AI models. 

But due to their unique format, graphs aren’t natively compatible with analytics platforms that require SQL standard data. CData and TigerGraph have a solution for this challenge, and we are pleased to demonstrate graph analytics in Microsoft Power BI, a leading data analytics, reporting, and visualization platform.

Real-Time Graph Analytics in Power BI | CData + TigerGraph + Power BI

Digital communication with business partners depends on Electronic Data Interchange (EDI). This well-established technology serves as the common language that you and partners speak together when your business depends on exchanging data with others. 

Leveraging the value of EDI and B2B automation more generally starts with understanding the basics of EDI documents: how they’re built, how they’re read, and how they’re used. 

In this three-part series, B2B integration experts from CData help build your EDI understanding from the ground up: 

1. What EDI documents are and why they are useful (August 24) 
2. Specific EDI document types and their idiosyncrasies (September 7) 
3. How EDI documents are integrated into a larger data context (September 21) 

Technology evangelist Matt Springfield and Solutions Engineer Ankit Singh present their hands-on experience with EDI technology with an emphasis on both the critical details and high-level concepts that benefit technical and non-technical viewers alike.

Understanding EDI: How It Works & How It’s Used (Webinar #3)

Understanding EDI: How It Works & How It’s Used (Webinar #2)

Understanding EDI: How It Works & How It’s Used (Webinar #1)

Data integration is the foundation of modern business. When organizations consolidate the ingestion, cleansing, and transformation of disparate data sources into high-performance pipelines, they can drive analytics insights into every decision.

In order to keep pace with fast-changing business requirements, enterprises must keep pace with best practices in data integration. Chief among these is migrating data integration pipelines to scalable, resilient, and agile cloud platforms.

In this panel, TDWI senior research director James Kobielus will engage data industry experts in an in-depth discussion of data integration trends and best practices. The discussion will focus on several key issues:
- What are the hallmarks of modern data integration?
- What trends are spurring enterprises to modernize their data integration capabilities?
- Why should enterprises modernize their data integration platforms, processes, and organizations?
- What core capabilities are essential for deploying a full-featured enterprise data integration stack?
- What emerging data integration best practices are needed to support sophisticated new use cases in artificial intelligence, distributed analytics, and low-latency streaming?
- What new techniques should enterprises consider for reducing the cost and improving the efficiency of their data integration processes?
- How feasible is it for enterprises to entirely automate their data integration processes?
- To what extent can and should self-service tools be used to help business analysts and other nontraditional roles build and deploy sophisticated data integration pipeline logic?
- What the essential first step for enterprises on their journeys to modern data integration?

Guest Speakers: 
- Nik Acheson, Senior Product and Strategy Leader, Dremio
- Hassan Ali, Sales Engineer, Actian
- Jerod Johnson, Sr. Technology Evangelist, CData Software

TDWI Expert Panel: Data Integration Trends and Best Practices

Join us to get a first-hand look at how CData provides effortless integration and real-time access from any on-premises or cloud data source to AWS. CData Sr. Technology Evangelist Jerod Johnson and AWS Sr. Partner Solution Architect Muz Syed, discuss these topics and how our technologies come together to solve business problems.

In this webinar you will:
 - Learn how to access real-time data with Amazon QuickSight without moving the data first
 - See how CData enables AWS Glue connectivity across hundreds of additional data sources
 - Learn how to easily migrate, replicate and synchronize data from legacy databases and cloud data sources with AWS Redshift, S3, DynamoDB, and Aurora

Integration Beyond AWS: Connect all your Data to Glue, Redshift, and QuickSight

CData Sync provides automated, continuous data replication from more than 250 data sources to any popular database, data warehouse or other data store. In this session, we'll show how CData Sync helps organizations replicate data from the entire Salesforce ecosystem into Google BigQuery for comprehensive reporting.

CData Coffee Break: Replicate Salesforce Data to Google BigQuery

See how CData Arc makes it easy to handle different types of EDI files from the same trading partner. We cover both the high-level concepts and hands-on specifics of receiving EDI 855s & EDI 810s within the same automated B2B workflow.

CData Coffee Break: Integrating Multiple EDI Document Types with Ease

See how you can easily connect to your Snowflake warehouses from CData Connect Cloud and build apps in Microsoft Power Apps.

CData Coffee Break: Access to Snowflake Warehouses from Microsoft Power Apps

Organizations today leverage Tableau to easily analyze and find insights from their data. But what if the necessary data across your tech stack is inaccessible? What options are available when there is no built-in support from Tableau for your vital applications or data sources?

Data Analytics, Unrestricted

Join us to learn how Tableau & Tableau Cloud seamlessly integrates with our Data Connectivity-as-a-Service platform, CData Connect Cloud, to provide real-time access to hundreds of sources – without any coding or installation. 

CData Sr. Technology Evangelist, Jerod Johnson and Tableau Ambassador and Leader of the RDU Tableau User Group, Christopher Scott, will discuss how Tableau and CData are transforming data analytics.  

Hear about the benefits of unfettered data connectivity, get inspired by innovative use cases, and see a live demo analyzing data leveraging CData Connect Cloud in Tableau.

Unlock New Insights in Tableau with 100+ More Real-Time Data Sources

CData Sync provides automated, continuous data replication from more than 250 data sources to any popular database, data warehouse or other data store. In this session, we'll show how CData Sync helps organizations replicate data from Oracle NetSuite into SQL Server for warehousing and comprehensive analytics.

CData Coffee Break: Replicate Oracle NetSuite to SQL Server

CData Arc’s MFT connectors streamline the process of automating the file-based exchange with your business partners.

In this brief session, we’ll walk through the 3-step process that cuts out the technical headache involved in automating your AS2, AS4, SFTP, and OFTP connections – explaining both the high-level concepts and the hands-on details.

CData Coffee Break: MFT Automation in Minutes

CData Software provides real-time connectivity to data in MongoDB and MongoDB Atlas database from every popular BI, reporting, and ETL tool. In this session, we'll show how CData's real-time data solutions help organizations analyze their MongoDB data in their preferred tools and applications.

CData Coffee Break: Real-Time Reporting on NoSQL Data, Featuring MongoDB

Data fragmentation has become a major stumbling block along the path to successful digital transformation. Unlocking value from data is critical to success; however, as organizations continue to shift more of their infrastructure to cloud technologies, data has become more decentralized and more difficult to utilize.

Embedded technologies that directly augment existing integration, processing, and analytics tooling are helping organizations deploy tactical solutions to solve data fragmentation problems.

Overcoming Common Data Fragmentation Challenges

In this webinar, our guest speaker, Forrester analyst Noel Yuhanna, author of The Enterprise Data Virtualization Wave, joins Eric Madariaga and Jerod Johnson of CData Software to discuss the latest trends in Data Virtualization and the role that embedded technologies play across Enterprise IT.

In this on-demand webinar, you will discover:

- The latest market trends in Data Virtualization
- The role of Embedded Data Virtualization and how it compares with more traditional approaches to DV.
- Examples of customers who are successfully using embedded Data Virtualization technologies to solve data fragmentation challenges.

Solving Data Fragmentation Challenges with Embedded Data Virtualization

Data Storage

Data Replication

Cloud Platform

Data Movement

Data Virtualization

Data Fragmentation

Embedded Technologies

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Solving Data Fragmentation Challenges with Embedded Data Virtualization

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