Hi [[ session.user.profile.firstName ]]

Zaloni, Inc.

  • Date
  • Rating
  • Views
  • 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
  • Architecting the Cloud: What's Possible Now
    Architecting the Cloud: What's Possible Now Eric Kavanagh & Parth Patel Recorded: Apr 25 2018 19 mins
    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
    Agile Data Mastering in the Data Lake Scott Gidley, Vice President of Product Recorded: Apr 11 2018 42 mins
    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: 10-minute Overview
    Zaloni Data Platform: 10-minute Overview Aashish Majethia, Field Engineer at Zaloni Recorded: Apr 2 2018 13 mins
    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
    Future-Proof your Data Lake with the Proper Architecture Raj Nadipalli, Director of Product Support and Professional Services at Zaloni Recorded: Feb 7 2018 49 mins
    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.
    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

Embed in website or blog