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Zaloni, Inc.

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  • How to Achieve a 360° View of your Data
    How to Achieve a 360° View of your Data
    Jatin Hansoty, Director of Solutions Architecture Recorded: Nov 28 2018 58 mins
    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
    A Governed Self-Service Data Platform Accelerates Insights
    Ryan Peterson, Global Technology Segment Lead at AWS & Scott Gidley, Vice President of Product at Zaloni Recorded: Oct 30 2018 59 mins
    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?
    So You’ve Got a Data Catalog...Now What?
    Scott Gidley, Vice President of Product Recorded: Oct 3 2018 41 mins
    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
    Choosing the Optimal Processing Framework for an AWS Data Lake
    Raj Rana, Senior Solution Architect Recorded: Sep 26 2018 63 mins
    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
    Turnkey Data Lake: The Fast Path to Business Insights
    Nikhil Goel, Lead Architect in Product Management Recorded: Aug 29 2018 37 mins
    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
    How to Architect a Successful Data Lake
    Rajesh Nadipalli, Director of Product Support and Professional Services Recorded: Aug 22 2018 57 mins
    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
    Prepare and Protect GDPR Data using Elastic Stack
    Sabyasachi Gupta, Lead Software Architect, Zaloni Recorded: Jul 25 2018 49 mins
    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
    Next-Level Data Lake Management with the Zaloni Data Platform
    Scott Gidley, VP of Product at Zaloni Recorded: Jun 26 2018 52 mins
    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
    How to Use Microservices to Build a Data Lake on AWS
    Sabyasachi Gupta, Software Architect Recorded: May 30 2018 44 mins
    “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
    Building a Governed Data Lake in the Cloud
    Rajesh Nadipalli Recorded: May 23 2018 68 mins
    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

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