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Zaloni, Inc.

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  • Sink or swim? Architecting the data lake to drive, survive and thrive.
    Sink or swim? Architecting the data lake to drive, survive and thrive. Matt Aslett, Research Director of Data Platforms & Analytics at 451 Research, and Kelly Schupp, VP of Marketing at Zaloni Recorded: Oct 31 2017 44 mins
    Today, big data is enabling the advanced analytics that companies have dreamed of for driving their business. And as forward-thinking companies take advantage of big data and advanced analytics to drive digital transformation initiatives, it is forcing the laggards to realize that they will have to do the same if they want to survive.

    The generally accepted architectural model for harnessing big data is a data lake. But data lakes, if leveraged simply as cheap storage within which to dump data, will inevitably disappoint. As the saying goes, garbage in, garbage out. Data lakes present unique challenges that must be dealt with if that big data set is going to be turned into actionable information.

    So what does it take to succeed with a data lake? Why do some organizations get real value out of big data, while others struggle?

    In this webinar, Matt Aslett, Research Director of Data Platform and Analytics at 451 Research and Kelly Schupp, VP of Data-driven Marketing at Zaloni, will discuss ideal data lake use cases such as Customer 360 and IoT. They will also discuss Zaloni’s data lake maturity model with which the data-eager company can chart its ideal course and roadmap.
  • Adopting an Enterprise-Wide Shared Data Lake to Accelerate Business Insights
    Adopting an Enterprise-Wide Shared Data Lake to Accelerate Business Insights Ben Sharma, CEO at Zaloni; Carlos Matos, CTO Big Data at AIG Recorded: Sep 21 2017 68 mins
    Today's enterprises need broader access to data for a wider array of use cases to derive more value from data and get to business insights faster. However, it is critical that companies also ensure the proper controls are in place to safeguard data privacy and comply with regulatory requirements.

    What does this look like? What are best practices to create a modern, scalable data infrastructure that can support this business challenge?

    Zaloni partnered with industry-leading insurance company AIG to implement a data lake to tackle this very problem successfully. During this webcast, AIG's VP of Global Data Platforms, Carlos Matos, and Zaloni CEO, Ben Sharma will share insights from their real-world experience and discuss:

    - Best practices for architecture, technology, data management and governance to enable centralized data services
    - How to address lineage, data quality and privacy and security, and data lifecycle management
    - Strategies for developing an enterprise-wide data lake service for advanced analytics that can bridge the gaps between different lines of business, financial systems and drive shared data insights across the organization
  • Technical Deep Dive: GDPR Compliance via a Governed Data Lake
    Technical Deep Dive: GDPR Compliance via a Governed Data Lake Ben Sharma, CEO & Co-Founder at Zaloni Recorded: Aug 3 2017 44 mins
    GDPR is quickly becoming a global data privacy crisis. With the May 2018 deadline looming, businesses in every industry are taking a fresh look at governing personal information. They’re finding out what’s needed to ensure compliance - and it’s not going to be easy.

    Big data thought leader, Ben Sharma, has years of experience in data management and governance. He will discuss the impact GDPR has on big data management and explain how data lakes can set you up for success, both for GDPR compliance and future governance endeavors. This webinar will discuss specific technical solutions. If you are concerned about your GDPR compliance initiative, or just interested in verifying your current path, then this is a must-attend webinar.

    Topics covered:
    - Data lineage
    - Masking of PII
    - Leveraging custom metadata
    - Data lifecycle management
    - Building a next-generation data architecture for compliance
    - Your GDPR preparation checklist

    In preparation for this deep dive into GDPR, we suggest you view our previous webinar on the basics of GDPR.
  • GDPR Compliance: Data Management Practices for Success
    GDPR Compliance: Data Management Practices for Success Kelly Schupp, Vice President of Marketing Recorded: Jun 22 2017 34 mins
    You know GDPR is coming. And with it are substantial penalties for noncompliance. What do you need to do to ensure that you are ready?

    The General Data Protection Regulation (GDPR) is a European Union regulation set to go into effect May 25, 2018. This regulation requires that you strengthen data protection and management technologies and practices if you do business in the EU, have employees or customers that are EU citizens, or otherwise store or access data about European Union citizens. Among other things, GDPR addresses how personal data can be exported, the right for a citizen to control and delete their own personal data, data protection requirements and how data breaches are to be treated and a variety of other data and process-related rules and standards.

    In this webinar, Kelly Schupp, Vice President of Marketing at Zaloni, will discuss where GDPR sits in the world of big data, overall data lake strategies that help with compliance, and how metadata management is key to that strategy.

    Topics covered:
    - Metadata management
    - GDPR compliance and best practices
    - GDPR technologies
    - Data lake governance
  • Governed & Self-Service Data - Better Together
    Governed & Self-Service Data - Better Together Scott Gidley, Vice President of Product Development at Zaloni Recorded: May 25 2017 27 mins
    Today’s companies need actionable insights that are immediate. It is no longer feasible to wait weeks, even months, on IT to prepare business-critical data. Data lakes done right can enable you to view your entire data catalog at a moment’s notice and apply self-service transformations to that data. These interactions are key to providing a quick, clear understanding of business needs. But enterprises have a legitimate concern regarding data lake governance issues such as data privacy, data quality, security, and lineage. How do you marry both - how do you provide governed self-service to data in the data lake?

    In this presentation, Scott Gidley, Vice President of Product Development at Zaloni, will highlight the benefits of governed self-service data and will provide a brief demo of Zaloni’s Self-service Data Platform.

    Topics covered:

    - Metadata management, the foundation for governed self service in the data lake
    - Data catalogs
    - Self-service data preparation
    - Self-service ingestion
    - Bringing it all together with Zaloni’s Self-service Data Platform
  • Data Monetization: A Telecommunications Use Case
    Data Monetization: A Telecommunications Use Case Dirk Jungnickel, Senior Vice President of Business Analytics at du Recorded: Mar 15 2017 38 mins
    Telco operators have worked with big data even before it had a name. By making data work for them, they have improved quality of service and customer satisfaction and have been some of the first companies to truly monetize their data.

    Leveraging massive amounts of data has been a technical and architectural challenge. Most telco operators have adopted data lakes as cost-effective, highly scalable architectures for collecting and processing massive volumes of data and data types. Emirates Integrated Telecommunications Company (du), one of the UAE’s largest telecommunications companies, is addressing this issue with a game-changing modern data lake architecture.

    Dirk Jungnickel explains how Dubai-based telco leader du leverages big data to create smart cities and enable location-based data monetization, covering business objectives and outcomes and addressing technical and analytical challenges.

    Topics include:
    Architectural considerations
    Platform requirements for the IoT
    Performing root cause analysis
    The impact of data volume on pattern recognition
  • Building a Modern Data Architecture
    Building a Modern Data Architecture Ben Sharma Recorded: Mar 15 2017 34 mins
    Learn how to build a modern, scalable data architecture to get business results.

    When building your data stack, architecture could be your biggest challenge—yet it could also be the best predictor of success. With so many elements to consider and no proven playbook, where do you begin when assembling a scalable data architecture? Ben Sharma shares real-world lessons and best practices to get you started. If you are concerned with building a data architecture that will serve you now and scale for the future, this is a must-attend session.

    Topics include:

    • A recommended data lake reference architecture
    • Considerations for data lake management and operations
    • Considerations for data lake security and governance
    • Metadata management
    • Logical data lakes to enable ground-to-cloud hybrid architectures
    • Self-service data marketplaces for more democratized data access
  • Zaloni Bedrock and Mica: 20-minute Demonstration
    Zaloni Bedrock and Mica: 20-minute Demonstration Greg Wood, Field Engineer at Zaloni Recorded: Mar 9 2017 19 mins
    See what an agile, scalable data lake looks like with Zaloni’s Data Lake 360 Platform

    Register to watch this 20-minute demonstration of an end-to-end use case for data management, governance, and self-service data within Bedrock Data Lake Management & Governance and Mica Data Lake Catalog & Self-Service.

    Highlights of this demonstration include:

    - A defined use case for ingesting and transforming sales data of various types and sources.

    - The data's journey through the Bedrock platform, including ingestion, applying metadata, developing workflows, examining the data lineage, and exposing the data catalog for self-service preparation.

    - How data is presented to end users and the features in Mica that they need to export the data for business analysis.
  • Everyone is a Stakeholder in a Data-Driven Enterprise
    Everyone is a Stakeholder in a Data-Driven Enterprise Dave Wells, Research Analyst, Eckerson Group & Kelly Schupp, VP Marketing, Zaloni Recorded: Mar 2 2017 50 mins
    Almost everyone is concerned with the tooling to manage the big data lifecycle. From business people engaged with self-service analytics, to data scientists, data analysts, and data professionals from BI and IT organizations, it seems that nearly everyone is both a consumer and a provider of data.

    Big data management software spans the data lifecycle supporting data profiling, transformation, enrichment, cleansing, matching and other functions. It is the glue that binds a big data environment together, fostering continuous alignment of data with dynamic and changing business needs.

    During this webinar, Dave Wells, Research Analyst at Eckerson Group, and Kelly Schupp, VP of Data-driven Marketing at Zaloni, will discuss the tools, and how to leverage them for high-impact analytics, leveraging research from Dave’s recent industry report titled “Big Data Management Software for the Data-Driven Enterprise”. Topics addressed:

    - The kinds of tools that are needed to meet the challenges of big data
    - The purpose, functions, and characteristics of data preparation tools
    - The purpose, functions, and characteristics of pipeline management tools
    - The purpose, functions, and characteristics of data cataloging tools
    - The role of big data management tools for high-impact analytics

    Speaker Bios:

    Dave Wells is an advisory consultant, educator, and industry analyst at Eckerson Group. He is dedicated to building meaningful connections throughout the path from data to business value. He works at the intersection of information management and business management, driving business impact through analytics, business intelligence, and active data management.

    Kelly Schupp is Vice President of Marketing for Zaloni. Kelly has 20 years of experience in the enterprise software and technology industry. She has held a variety of global marketing leadership roles, and previously worked at IBM, Micromuse and Porter Novelli.
  • Techniques to Establish Your Data Lake: How to Achieve Data Quality and Security
    Techniques to Establish Your Data Lake: How to Achieve Data Quality and Security Ben Sharma, CEO and Co-Founder, Zaloni Recorded: Feb 16 2017 63 mins
    The growing volume and variety of data makes it imperative for organizations to manage and govern their data in a way that's scalable and cost-effective. The data lake – once considered just a relatively inexpensive storage solution – can now be a tool for deriving true business value. By implementing a set of best practices for establishing and managing your data lake, you can achieve 360-degree control and visibility of your data.

    In this webcast, Ben Sharma, Zaloni's co-founder and CEO discusses techniques to balancing the flexibility a data lake can provide with the requirements for privacy and security that are critical for enterprise data.

    Topics covered include:

    - How to establish a managed data ingestion process - that includes metadata management - in order to create a solid foundation for your data lake

    - Techniques for establishing data lineage and provenance

    - Tips for achieving data quality

    - Key considerations for data privacy and security

    - Unique stages along the data lake lifecycle and management concepts for each stage

    - Why a data catalog is important

    - Considerations for self-service data preparation

    About the speaker:

    Ben Sharma is CEO and co-founder of Zaloni. He is a passionate technologist and thought leader in big data, analytics and enterprise infrastructure solutions. Having previously worked in technology leadership at NetApp, Fujitsu and others, Ben's expertise ranges from business development to production deployment in a wide array of technologies including Hadoop, HBase, databases, virtualization and storage. Ben is co-author of Architecting Data Lakes and Java in Telecommunications. He holds two patents.

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