Packed Lunch Webinar Series

Showing 1 - 10 of 19 pages tagged with: Packed Lunch Webinar Series

Adopting a Logical Data Architecture for Today's Data and Analytics Requirements

It’s almost impossible to find any organization that does not have data and analytics as one of their top priorities to further their business objectives. At the same time the data and analytics landscape is evolving faster than ever, making the data management ecosystem more complex than ever before. As data gets increasingly distributed across systems and locations, every forward looking organization should adopt a logical architecture to be future ready.Watch On-Demand and Learn: Key priorities of data and analytics leaders for business transformationWhy a monolithic and physical data...

Read More

Achieving Self-Service Analytics with a Governed Data Services Layer

We all heard about Self-Service initiatives, or maybe even implementing one. With the evolution of data landscape we have become data driven, when we should be information driven. Data without context lacks meaning. Data meaning is what drives the valuable business insights. We need to drive our consumers to the right information, while providing guided and governed experience across diverse consumer community.Attend and Learn:What it takes to make Self-Service initiatives successfulHow Governed Data Service Layer enables guided data discovery

Read More

How Semantics Simplifies Data Sharing at an Enterprise Level

Semantics has been a topic often associated with academia with little impact in the analytics world. However, that tendency is starting to change, fueled by self-service and data democratization initiatives that broaden the scope of who’s accessing data and what those users expect.In this session, Pablo Alvarez, Global Director of Product Management, takes you for a deep dive into the exciting uses of semantics in data management. He will discuss why semantics is important for your data strategy, and how it can radically change your approach to managing things like self service, security, and...

Read More

Data Virtualization: An Essential Component of a Cloud Data Lake

Data Lake strategies seem to have found their perfect companion in cloud providers. After years of criticism and struggles in the on-prem Hadoop world, data lakes are flourishing thanks to the simplification in management and low storage prices provided by SaaS vendors. For some, this is the ultimate data strategy. For others, just a repetition of the same mistakes. Attend this session to learn:The benefits and shortcoming of cloud data lakesThe role and value of data virtualization in this scenarioNew development in data virtualization for cloud

Read More

The Role of Data Virtualization in an API Economy

How data virtualization works as a service container, as a source for microservices and as an API gateway.

Read More

From Single Purpose to Multi Purpose Data Lakes - Broadening End Users

Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In his recent whitepaper, renowned analyst Rick F. Van Der Lans talks about why decentralized multi purpose data lakes are the future of data analysis for a broad range of business users.Please attend this session to learn:

Read More

Self-Service Analytics with Guard Rails

Self-service BI promises to remove the bottleneck that exists between IT and business users. The truth is, if data is handed over to a wide range of data consumers without proper guardrails in place, it can result in data anarchy. Attend this session to learn why data virtualization: Is a must for implementing the right self-service BI Makes self-service BI useful for every business user Accelerates any self-service BI initiativeVisit the Packed Lunch Webinar Series page for details on all the sessions.

Read More

Big Data Fabric: A Necessity For Any Successful Big Data Initiative

The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users.While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end...

Read More

A Successful Journey to the Cloud

By 2020, a corporate "no-cloud" policy will be as rare as a "no-internet" policy is today, according to Gartner, Inc. While cloud makes enterprises more flexible and agile, various cloud adoption scenarios such as hybrid cloud, infrastructure modernization and cloud based analytics present a few challenges of their own.Attend this session to learn:Challenges involved with various cloud adoption scenariosHow data virtualization solves cloud adoption challenges while centralizing data governance and security mechanismHow companies are using data virtualization to tackle complex modern customer...

Read More

Self-Service Information Consumption Using Data Catalog

Denodo 7.0 information self-service tool will offer data analysts, business users and app developers searching and browsing capability of data and metadata in a business friendly manner for self-service exploration and analytics.Market research shows that around 70% of the self-service initiatives fare “average” or below. Denodo 7.0 information self-service tool will offer data analysts, business users and app developers searching and browsing capability of data and metadata in a business friendly manner for self-service exploration and analytics.Attend this session to learn:

Read More

What's Next?

Gain real-time insights from your data and begin
your digital transformation today!