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Governing your Cloud-Based Enterprise Data Lake

Watch as Selwyn Collaco, CDO at TMX Group, and Ben Sharma, CEO at Zaloni, discuss what it takes to properly architect a data lake to enable centralized data services and more.
Recorded Aug 23 2019 40 mins
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Presented by
Selwyn Collaco, CDO at TMX Group & Ben Sharma, CEO at Zaloni
Presentation preview: Governing your Cloud-Based Enterprise Data Lake

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  • More data, less work. It’s not a dream, it’s a complete data catalog Recorded: Dec 4 2019 58 mins
    Matthew Monahan, Senior Product Manager
    Time to insights. Time to deployment. Time to value. It seems that time is an important factor for many big data projects. The faster they can be completed, the faster the investment starts to pay off. However, today’s organizations face challenges with complex data sprawl, lack of control and security, and data quality issues. These challenges result in unreliable and stale data by the time it reaches a data analyst or data scientist.

    You need a solution that allows you to centrally manage and govern distributed data, ensure data quality and security, automate processes, and provide self-service access to quickly and effectively deliver trusted data to your end-users.

    In this first of 3 series, Matthew Monahan, Zaloni’s Senior Product Manager, will take you through cutting-edge data management techniques and show you how to leverage a single platform to manage the complete end-to-end data pipeline. Curious how Zaloni can save you time?

    Matthew will be discussing:
    - Connecting and cataloging distributed data
    - Harnessing the power of machine learning and AI to build an augmented data catalog
    - Leveraging autonomous data management for improved data quality
    - Applying right-sized data governance for security and control
    - Providing self-service provisioning for near-real-time access to data

    This webinar will provide you with the information you need to guide your users on their journey to an amazing self-service data experience.
  • Change your Company with a Data Platform Recorded: Oct 25 2019 4 mins
    Mike Brady, Industry Thought Leader
    Listen as Mike Brady discusses what's needed for a company to modernize its data environments with a self-service data platform. Learn how a move to the cloud and a data governance focus fosters innovation at companies across the world.
  • How to Build Customer Golden Records that Increase Customer Lifetime Value Recorded: Oct 10 2019 45 mins
    Tim Blackwell, Analytics Data Architect at Chalhoub, and Scott Gidley, VP Product at Zaloni
    How does your company build and maintain customer relationships? Today, companies own numerous data sources and store massive volumes of customer data. Extensive data collection poses the risks of data duplication, poor data quality, and a lack of transparent data access. Without accurate and reliable customer data, companies may face higher spending along with acquisition and reacquisition costs.

    Obstacles like these were apparent across Chalhoub's luxury brand and retail enterprise, a corporation managing over 650 stores throughout the gulf region. To maximize their customer data across multiple e-commerce and CRM systems, Chalhoub architected and deployed a cloud-based, centralized data hub on Microsoft Azure that provided data mastering capabilities to create customer golden records and enabled a 360-degree-view of the customer across all company brands. In this webinar, learn how Chalhoub was able to continue its "customer first" approach and improve their brand performance with Zaloni as a partner in the project.

    Join Tim Blackwell, Analytics Data Architect at Chalhoub, and Scott Gidley, VP Product at Zaloni, as they discuss how a holistic view of customer data allows for greater insights and improved targeted marketing to ultimately increase the lifetime value of their customers.

    Topics Include:
    - Utilizing the Customer 360 approach as a foundational data lake use case
    - Building customer golden records with a zone-based architecture
    - Value achieved through data acceleration
  • The Data Imperative Recorded: Sep 3 2019 7 mins
    Ben Sharma, CEO at Zaloni
    Watch as Ben Sharma, CEO at Zaloni, discusses the "data imperative." Which is to ensure that we guide the current digital transformation in ways that are not just smart, profitable and open, but also wise.

    Big data brings the promise of a new, enlightened era of cross-pollination and new ways of seeing information. It’s our responsibility to make data more available to achieve new possibilities while keeping it secure and private.
  • Governing your Cloud-Based Enterprise Data Lake Recorded: Aug 23 2019 40 mins
    Selwyn Collaco, CDO at TMX Group & Ben Sharma, CEO at Zaloni
    Watch as Selwyn Collaco, CDO at TMX Group, and Ben Sharma, CEO at Zaloni, discuss what it takes to properly architect a data lake to enable centralized data services and more.
  • Achieving Big Business Value from Big Data Initiatives Recorded: Aug 13 2019 34 mins
    Rick Karl, Vice President of Value Engineering, Zaloni
    ROI.
    Risk reduction.
    Cost savings.

    Ask 3 different people what their idea of business value means and you’ll often get three different answers. When you’re trying to implement an enterprise-wide data hub, it’s often necessary to show value early and often but how can that be easily done when there are multiple stakeholders?

    To justify the investment, it’s critical to show how your new data hub will meet the goals of IT, Finance, and any other departments involved in the initiative. By accurately measuring value, your project will be poised to cut costs, generate revenue, and radically transform the business.

    Join Rick Karl, Zaloni’s VP of Value Engineering, as he shows what’s needed when trying to highlight the value an enterprise data hub can provide to an organization.

    Topics include:
    - Challenges in demonstrating business value for complex data initiatives
    - How to perform a business value assessment for modern data efforts
    - Making the business case that aligns IT and Finance objectives
  • What's your Big Data Vision? Recorded: Jun 27 2019 15 mins
    Matthew Monahan, Senior Product Manager
    With the amount of data being created and collected by organizations, it’s imperative that senior executives at these data-driven companies have a solid vision of where they want to go, and how they’ll get there.

    To achieve this vision, the way we find, understand, and use data needs to shift.

    Join Matthew Monahan, Zaloni’s Senior Product Manager, and Eric Kavanagh, CEO of the Bloor Group, as they discuss big data vision in this excerpt from the DM Radio podcast. They’ll also address:
    - Data governance concerns
    - Self-service data
  • Evolving your Passive Data Catalog into an Active Data Hub Recorded: May 8 2019 31 mins
    Scott Gidley, Vice President of Product Management
    We all know that data is the lifeblood of a modern enterprise. But how can your business users action relevant, quality data into their applications for immediate value?

    The answer used to be “Build a data catalog”. Data catalogs have grown in popularity as an essential tool for understanding where your data exists and what it is. But, that’s only the first step – and an easy step at that! The harder part is giving your business users self-service access to understand THEIR catalog and enrich the data THEY need when THEY need it … and then allowing them to action it into their analytical or operational applications for rapid insights.

    Empowering the business: that’s where an “active data hub” differentiates from a “passive data catalog”.

    Join Scott Gidley, VP of Product Management from Zaloni, to learn how real world users are moving away from traditional data catalogs to embrace active data hubs, including:
    - How a unified data supply chain removes unwanted tooling and rapidly delivers real business value to departmental or line of business users
    - How business users can enrich their data themselves and action it into their business applications - with the right amount of governance and trust
    - Test yourself against the data hub maturity curve to determine where you are within your enterprise
  • A Governed Self-Service Data Platform Accelerates Insights Recorded: Mar 27 2019 58 mins
    Ryan Peterson, Global Technology Segment Lead at AWS & Scott Gidley, Vice President of Product at Zaloni
    Today's enterprises need a faster way to get to business insights. That means broader access to high-value analytics data to support a wide array of use cases. Moving data repositories to the cloud is a natural step. Companies need to create a modern, scalable infrastructure for that data. At the same time, controls must be in place to safeguard data privacy and comply with regulatory requirements.

    In this webinar, Zaloni will share its experience and best practices for creating flexible, responsive, and cost-effective data lakes for advanced analytics that leverage Amazon Web Services (AWS). Zaloni’s reference solution architecture for a data lake on AWS is governed, scalable, and incorporates the self-service Zaloni Data Platform (ZDP).

    Join our webinar to learn how to:
    - Create a flexible and responsive data platform at minimal operational cost.
    - Use a self-service data catalog to identify enterprise-wide actionable insights.
    - Empower your users to immediately discover and provision the data they need.
  • A Modern Digital Data Architecture: Best Practices for Adoption Recorded: Mar 13 2019 61 mins
    Alex Gurevich, DXC Technology’s Analytics CTO for the Americas & Clark Bradley, Solutions Engineer at Zaloni
    Organizations that put analytics and artificial intelligence (AI) at the core of their transformation strategy will survive and thrive in the age of digital disruption. To achieve this, a holistic, modern data architecture and a rock-solid information supply chain are critical for success.

    Organizations can deliver timely, self-service, democratized data access and analytical insights at enterprise scale by leveraging the innovation design principles of data lakes, scalable and elastic cloud infrastructures, and automated information pipelines. However, many find that these architectures are complex to create, deploy and operate — often resulting in poor performance, unnecessary expense and underutilized assets for the do-it-yourselfers. Transitioning to such architectures from legacy paradigms carries additional difficulty and risk, especially in hybrid environments that can span multiple design patterns and cloud providers.

    In this webinar, Clark Bradley, Zaloni solutions engineer, and Alex Gurevich, DXC Technology’s Analytics chief technology officer for the Americas, will present solution designs and representative field-use cases for simplifying and accelerating adoption of a modern, digital data architecture.

    Topics to be discussed will include:
    - Best practices for migrating from a legacy to a modern data architecture
    - Deploying a data catalog in support of data lake architectures
    - Data lake architectures for hybrid and cloud environments
    - Protecting data assets and privacy without obstructing access
  • So You’ve Got a Data Catalog...Now What? Recorded: Feb 27 2019 40 mins
    Scott Gidley, Vice President of Product
    Achieving actionable insights from data is the goal of any organization. To help in this regard, data catalogs are being deployed to build an inventory of data assets that provides both business and IT users a way to discover, organize and describe enterprise data assets. This is a good first step that helps all types of users easily find relevant data to extract insights from.

    Increasingly, end users want to take the next step in provisioning or procuring this data into a sandbox or analytics environment for further use. Attend this session to see how organizations are looking to build actionable data catalogs via a data marketplace, that allow self-service access to data without sacrificing data governance and security policies.

    Learn how to provide governed access and visibility to the data lake while still staying on track and within budget. Join Scott Gidley, Zaloni’s Vice President of Product, as he discusses:
    - Architecting your data lake to support next-gen data catalogs
    - Rightsizing governance for self-service data
    - Where a data catalog falls short and how to address
    - Success use cases
  • Empower your Enterprise with a Self-Service Data Marketplace Recorded: Feb 13 2019 38 mins
    Aashish Majethia, Senior Solutions Engineer
    Analysts need timely access to enterprise data in order to stay competitive in today’s rapidly changing environment. Typically, business users need to request access through the IT department, which can be a waiting game, either because of technological roadblocks, governance restrictions or both. This adds more work, more process, and more frustration on both sides. Having the ability to find data sets, examine, update, and provision the data themselves allows business users to move quickly and frees IT to work on higher priority items.

    A modern data platform should provide a self-service data marketplace that gives right-sized governed access to data. The security permissions allow IT to define who needs access to the correct data at the appropriate stage of the data pipeline. This becomes quite complicated in regulated environments. Users should be able to search for data they have access to, explore and potentially update the metadata associated, and provision it into a sandbox when ready.

    Join us as Aashish Majethia, a Senior Solutions Engineer, dives into the self-service data marketplace and what is required to make it successful. He will cover topics including:
    - Catalogs
    - Self-service data preparation
    - Governance considerations and how they can enable a more agile data-driven enterprise
  • The Top 3 Considerations for Modernizing Your Data Platform Recorded: Jan 16 2019 50 mins
    Clark Bradley, Solutions Engineer at Zaloni
    How does your organization collaborate with data? Aligning data management tasks across any size organization can be a challenge. This can be attributed to a lack of transparent data access, lack of big data skills, or antiquated toolsets that do not enable shared metadata for clear lineage of the data. Regardless of the reason, the results are slow, rigid decision-making processes.

    While modernizing your data architecture for more agility can seem overwhelming, with an integrated platform that enhances collaboration, organizations can reap the benefits of quality data that is well understood. The data platform should provide users with the ability to fully understand all aspects of the data with a simple, unified user interface where the business and IT can define, transform and provision the data. All while providing right-sized governance for access, security and auditability.

    Join Clark Bradley, Solutions Engineer with Zaloni, as he tackles modernizing your data platform and explains how your organization can expand collaborative practices with the Zaloni Data Platform.

    By the end of the presentation, you’ll be able to answer these questions:
    - Why is a data catalog important?
    - What do I need to know about data quality?
    - How does self-service play a role in the data strategy?
  • How to Achieve a 360° View of your Data Recorded: Jan 9 2019 58 mins
    Jatin Hansoty, Director of Solutions Architecture
    A majority of the data collected by organizations today is wasted. Whether through poor analytics, lack of resources, or because they have too much of it. So how can organizations turn this around and actually start utilizing their data for powerful results?

    More and more companies are taking their customer, product, patient, or other data and providing a 360-degree view using a governed and actionable data lake. By breaking down the silos associated with traditional data located in disjointed systems and databases, companies are finding new ways to improve loyalty programs, product development, marketing campaigns, and even find a new source of revenue from their data.

    Join Jatin Hansoty, Director of Solutions Architecture at Zaloni, as he dives into real-world use cases from several of the world’s top companies. Learn from their architecture and the results they achieved.

    Topics covered include:

    - Best practices
    - Common pitfalls to avoid
    - Real-world use cases
    - Future-proof architecture
  • How to Achieve a 360° View of your Data Recorded: Nov 28 2018 58 mins
    Jatin Hansoty, Director of Solutions Architecture
    A majority of the data collected by organizations today is wasted. Whether through poor analytics, lack of resources, or because they have too much of it. So how can organizations turn this around and actually start utilizing their data for powerful results?

    More and more companies are taking their customer, product, patient, or other data and providing a 360-degree view using a governed and actionable data lake. By breaking down the silos associated with traditional data located in disjointed systems and databases, companies are finding new ways to improve loyalty programs, product development, marketing campaigns, and even find a new source of revenue from their data.

    Join Jatin Hansoty, Director of Solutions Architecture at Zaloni, as he dives into real-world use cases from several of the world’s top companies. Learn from their architecture and the results they achieved.

    Topics covered include:

    - Best practices
    - Common pitfalls to avoid
    - Real-world use cases
    - Future-proof architecture
  • A Governed Self-Service Data Platform Accelerates Insights Recorded: Oct 30 2018 59 mins
    Ryan Peterson, Global Technology Segment Lead at AWS & Scott Gidley, Vice President of Product at Zaloni
    Today's enterprises need a faster way to get to business insights. That means broader access to high-value analytics data to support a wide array of use cases. Moving data repositories to the cloud is a natural step. Companies need to create a modern, scalable infrastructure for that data. At the same time, controls must be in place to safeguard data privacy and comply with regulatory requirements.

    In this webinar, Zaloni will share its experience and best practices for creating flexible, responsive, and cost-effective data lakes for advanced analytics that leverage Amazon Web Services (AWS). Zaloni’s reference solution architecture for a data lake on AWS is governed, scalable, and incorporates the self-service Zaloni Data Platform (ZDP).

    Join our webinar to learn how to:
    - Create a flexible and responsive data platform at minimal operational cost.
    - Use a self-service data catalog to identify enterprise-wide actionable insights.
    - Empower your users to immediately discover and provision the data they need.
  • So You’ve Got a Data Catalog...Now What? Recorded: Oct 3 2018 41 mins
    Scott Gidley, Vice President of Product
    Achieving actionable insights from data is the goal of any organization. To help in this regard, data catalogs are being deployed to build an inventory of data assets that provides both business and IT users a way to discover, organize and describe enterprise data assets. This is a good first step that helps all types of users easily find relevant data to extract insights from.

    Increasingly, end users want to take the next step in provisioning or procuring this data into a sandbox or analytics environment for further use. Attend this session to see how organizations are looking to build actionable data catalogs via a data marketplace, that allow self-service access to data without sacrificing data governance and security policies.

    Learn how to provide governed access and visibility to the data lake while still staying on track and within budget. Join Scott Gidley, Zaloni’s Vice President of Product, as he discusses:
    - Architecting your data lake to support next-gen data catalogs
    - Rightsizing governance for self-service data
    - Where a data catalog falls short and how to address
    - Success use cases
  • Choosing the Optimal Processing Framework for an AWS Data Lake Recorded: Sep 26 2018 63 mins
    Raj Rana, Senior Solution Architect
    As more organizations migrate to the cloud to take advantage of the cost efficiency, resiliency, scalability and flexibility that comes along with it; they’re finding the number of data processing options are staggering. Should they choose Spark over Presto? How about Redshift Spectrum over Athena?

    Each have their own unique capabilities and might not be suitable for every scenario. Choosing the correct one can have a direct impact on an organization's bottom line.

    Join Raj Rana, a Senior Solution Architect at Zaloni, as he discusses what it takes to successfully deploy the optimal AWS processing frameworks for a variety of situations.

    Topics covered include:
    - Current offerings in AWS
    - Pricing models of each service
    - What fits where? - considerations when choosing a processing framework
  • Turnkey Data Lake: The Fast Path to Business Insights Recorded: Aug 29 2018 37 mins
    Nikhil Goel, Lead Architect in Product Management
    Data storage, data compute. Data ingestion. Metadata management. Governance. Visibility. Privacy. Transparency. These are just a few of the considerations you must plan for when modernizing your data platform with a data lake. It can be overwhelming, especially if you try to stitch specialized point products together yourself. Data lake implementations can get out of scope and out of control quickly.

    Why pull your hair out trying to do it yourself? An actionable data lake is within reach. Join us as Nikhil Goel, Zaloni’s Lead Architect in Product Management, discusses the benefits that a turnkey data lake solution can provide as your data grows to meet your organization. Some of the topics covered will be:
    • Storage and compute layers for cloud and on-premises
    • Managed ingestion
    • Zone-based data architecture
    • Self-service access to the data catalog
    • Customer success stories
  • How to Architect a Successful Data Lake Recorded: Aug 22 2018 57 mins
    Rajesh Nadipalli, Director of Product Support and Professional Services
    Building a data lake is easy. Architecting a successful data lake that is flexible enough to accept multiple data sources, volumes, and types all while being able to scale with your business is harder.

    Do it wrong and you've created a data swamp. Do it right and you turn data into the most valuable asset in your business.

    Join us and learn from Rajesh Nadipalli, Zaloni’s Director of Product Support and Professional Services, how to:
    - Set your data lake up for success with the right architecture
    - Build guard rails to ensure the accuracy of data in your lake with proper data governance
    - Provide visibility into your lake with a robust data catalog (or tie in with your favorite BI tools)
The Data Lake Company
At Zaloni, we enable enterprises to leverage their decentralized, multi-cloud data environments to gain agility and cost savings while accelerating value from their analytics. The Zaloni Data Platform delivers trusted high-value data through an augmented catalog, exceptional governance and security, and easy self-service access for all types of users. We work with the world's leading companies, empowering teams using machine learning and an extensible foundation to conquer today's data sprawl challenges.

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  • Title: Governing your Cloud-Based Enterprise Data Lake
  • Live at: Aug 23 2019 4:40 pm
  • Presented by: Selwyn Collaco, CDO at TMX Group & Ben Sharma, CEO at Zaloni
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