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Next-Level Data Lake Management with the Zaloni Data Platform

The modern, data-rich enterprise demands access to data at a pace that has outclassed traditional data management platforms. Whether they are utilizing a cloud, hybrid, or on-prem solution, these organizations require capabilities that are vendor-neutral and often implemented with microservices to ensure an agile environment at scale.

In this webinar, Scott Gidley, Zaloni’s Vice President of Product, will showcase the latest version of the Zaloni Data Platform. This version provides exciting new features to address the growing demands of data-driven companies, including:
- Managing hybrid and multi-cloud environments
- Managing your data with zones
- Cloud-native support
- Ingestion wizard
- Platform global search
- Persona-driven homepage
Recorded Jun 26 2018 52 mins
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Presented by
Scott Gidley, VP of Product at Zaloni
Presentation preview: Next-Level Data Lake Management with the Zaloni Data Platform

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  • Achieving Big Business Value from Big Data Initiatives Jul 31 2019 6:00 pm UTC 60 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)
  • Prepare and Protect GDPR Data using Elastic Stack Recorded: Jul 25 2018 49 mins
    Sabyasachi Gupta, Lead Software Architect, Zaloni
    The introduction of the European Union’s (EU) General Data Protection Regulation (GDPR) mandates a paradigm change in the way organizations use personal data.

    Elastic Stack is a suite of products which can help with GDPR compliance visibility. X-Pack access control for securing data access, Elasticsearch for indexing data for searches, X-Pack monitoring & alerting for data access events and REST APIs to manage the end to end privacy process.

    Join this session with Sabyasachi Gupta, Lead Software Architect at Zaloni, to learn more about:
    • GDPR primer - what is it and data in scope
    • Different stages of handling GDPR personal data:
    ◦ Prepare
    ◦ Protect
    ◦ Enforce privacy process
    • How Elastic Stack realizes handling the stages of GDPR personal data
  • Next-Level Data Lake Management with the Zaloni Data Platform Recorded: Jun 26 2018 52 mins
    Scott Gidley, VP of Product at Zaloni
    The modern, data-rich enterprise demands access to data at a pace that has outclassed traditional data management platforms. Whether they are utilizing a cloud, hybrid, or on-prem solution, these organizations require capabilities that are vendor-neutral and often implemented with microservices to ensure an agile environment at scale.

    In this webinar, Scott Gidley, Zaloni’s Vice President of Product, will showcase the latest version of the Zaloni Data Platform. This version provides exciting new features to address the growing demands of data-driven companies, including:
    - Managing hybrid and multi-cloud environments
    - Managing your data with zones
    - Cloud-native support
    - Ingestion wizard
    - Platform global search
    - Persona-driven homepage
  • How to Use Microservices to Build a Data Lake on AWS Recorded: May 30 2018 44 mins
    Sabyasachi Gupta, Software Architect
    “Data is the new oil.” Just as we have to drill to get oil, we also need to mine data to get information out of it. Google, Facebook, Netflix and other titans of the digital era use data to build great products that touch every part of human life.

    Regardless of scale, building a managed data lake on AWS requires a robust and scalable technical architecture. They often use microservices during the build process. A microservice architecture is centered around building a suite of small services focused on business capabilities and are independently deployable. It uses lightweight protocols and run on its own processes, which makes a microservice architecture ideal for building decoupled, agile, and automatable data lake applications on AWS.

    Join this session with Sabyasachi Gupta, Software Architect at Zaloni, to learn more about:
    - The what and why of a microservices architecture
    - The different layers of a data lake stack
    - Why is metadata important and how to capture it in AWS
    - The relationship between Serverless and Microservices and available options on AWS
    - How to build a data lake using microservice architecture on AWS
  • Building a Governed Data Lake in the Cloud Recorded: May 23 2018 68 mins
    Rajesh Nadipalli
    The three V’s of big data (velocity, volume, variety) continue to grow. There are more data types than ever, arriving faster, in sizes that traditional storage can barely keep up with. This is where transitioning to the cloud makes sense.

    With its on-demand processing, storage scalability, and potential financial savings, the cloud is now a data-oriented organization’s dream. But what model is right for you? What challenges should you look out for? How do you migrate effectively?

    Join Zaloni’s Director of Professional Services and Support, Raj Nadipalli, as he answers these questions - diving into cloud-based data lake use cases, a cloud-based data lake architecture, and more.

    Topics covered include:
    - Benefits of a cloud-based data lake (including hybrid and multi-cloud)
    - Concerns with moving your data lake to the cloud
    - Why metadata matters
    - Cloud use cases
    - A reference architecture
  • Architecting the Cloud: What's Possible Now Recorded: Apr 25 2018 19 mins
    Eric Kavanagh & Parth Patel
    All roads lead to cloud: (almost) everyone knows that now. The benefits so outweigh the risks, that even the stodgiest enterprise architects now see the handwriting on the ceiling. While the rules are much different from the days of on-prem software, the reality is that smart cloud architects know their knowledge bar just went higher. How can you stay prepared? Check out this episode of Inside Analysis to hear host Eric Kavanagh interview several experts, including Parth Patel from Zaloni.
The Data Lake Company
Zaloni simplifies data management for transformative business insights. We work with pioneering enterprises to modernize their data architecture and operationalize their data lakes to incorporate data into everyday business practices. The Zaloni Data Platform (ZDP) provides total control throughout the data pipeline from ingestion to analytics, with comprehensive data management, governance and self-service data preparation capabilities for IT and business users. A leader in big data for more than a decade, Zaloni’s expertise is deep, spans multiple industries, and has proven invaluable to customers at many of the world’s top companies. We are proud to be recognized by CRN’s 2019 Big Data 100 list, Forbes top 20 big data companies to work for, and Red Herring’s Top 100 North America Award.

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  • Presented by: Scott Gidley, VP of Product at Zaloni
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