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Turnkey Data Lake: The Fast Path to Business Insights

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
Recorded Aug 29 2018 37 mins
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Presented by
Nikhil Goel, Lead Architect in Product Management
Presentation preview: Turnkey Data Lake: The Fast Path to Business Insights

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  • 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.
  • Agile Data Mastering in the Data Lake Recorded: Apr 11 2018 42 mins
    Scott Gidley, Vice President of Product
    As new data sources continue to emerge, companies need to create “golden” or master records to achieve a single version of truth, as well as enriched views of customer or product data for applications such as intelligent pricing, personalized marketing, smart alerts, customized recommendations, and more.

    By leveraging machine learning techniques in the data lake, you can integrate data silos and master your data for a fraction of the cost of a traditional master data management solution. Zaloni’s Data Master Extension uses a Spark-based machine learning engine to provide a unique solution for Customer or Product 360° initiatives at the scale of big data.

    In this webinar, Scott Gidley, Zaloni’s Vice President of Product, will lead the discussion around:
    - Using a machine learning approach for matching and linking records
    - Implementing master data management natively in the data lake
    - A practical example of master data in the data lake
  • Zaloni Data Platform: Demo Recorded: Apr 2 2018 14 mins
    Scott Gidley, VP of Product at Zaloni
    See what an agile, scalable data lake looks like with the Zaloni Data Platform (ZDP).

    Register to watch this 10-minute demonstration of an end-to-end use case for data management, governance, and self-service data within the ZDP.

    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 platform, including ingestion, applying metadata, developing workflows, and exposing the data catalog for self-service preparation.

    - How data is presented to end users and the features that they need to export the data for business analysis.
  • Future-Proof your Data Lake with the Proper Architecture Recorded: Feb 7 2018 49 mins
    Raj Nadipalli, Director of Product Support and Professional Services at Zaloni
    As more and more organizations delve into the world of big data, they’re noticing that it’s not wise to dump data into a data lake without proper guardrails in place. Instead, companies need to architect and build their data lake with scalability, flexibility and governance in mind.

    Based on hundreds of data lake implementations, Zaloni has built a reference architecture that has proven to be scalable and future-proof. This architecture is based on a zone approach through which data can live and travel throughout its lifecycle. This zone-based approach can greatly facilitate data governance and management, particularly if a data lake management platform, such as the Zaloni Data Platform, is in place.

    How should these zones be defined within a data lake environment? What should happen to data within each of these zones? In this webinar, Raj Nadipalli, Director of Product Support and Professional Services at Zaloni, will answer these questions and address how to architect a data lake that is future-proof in the ever-changing big data ecosystem.
  • Sink or swim? Architecting the data lake to drive, survive and thrive. Recorded: Oct 31 2017 44 mins
    Matt Aslett, Research Director of Data Platforms & Analytics at 451 Research, and Kelly Schupp, VP of Marketing at Zaloni
    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 Recorded: Sep 21 2017 68 mins
    Ben Sharma, CEO at Zaloni; Carlos Matos, CTO Big Data at AIG
    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 Recorded: Aug 3 2017 44 mins
    Ben Sharma, CEO & Co-Founder at Zaloni
    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 Recorded: Jun 22 2017 34 mins
    Kelly Schupp, Vice President of Marketing
    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 Recorded: May 25 2017 27 mins
    Scott Gidley, Vice President of Product Development at Zaloni
    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 Recorded: Mar 15 2017 38 mins
    Dirk Jungnickel, Senior Vice President of Business Analytics at du
    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 Recorded: Mar 15 2017 34 mins
    Ben Sharma
    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
  • Everyone is a Stakeholder in a Data-Driven Enterprise Recorded: Mar 2 2017 50 mins
    Dave Wells, Research Analyst, Eckerson Group & Kelly Schupp, VP Marketing, Zaloni
    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.
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 2018 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: Nikhil Goel, Lead Architect in Product Management
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