Managing Big Data in the Bedrock Data Lake Management Platform
In this webinar, Adam Diaz, Director of Field Engineering at Zaloni, will demonstrate how the Bedrock platform can run as a data federation layer that makes it easy to organize and manage data, regardless of volume, across your enterprise data architecture.
Data Federation describes any approach to data management that allows an application to retrieve and manipulate data because it understands the metadata associated. To do this and obtain business value, an enterprise-grade data lake management and governance platform like Bedrock is required. The use of data across multiple clusters, databases and streams of data is enabled via Bedrock workflows.
In this context, topics covered will include:
- Classic Enterprise Architectures and Data Siloing
- Data Lake 360 Solution: a Holistic Approach to Modern Data Management
- Industry Trends - Movement to the Cloud and Hybrid Environments
- Metadata Management - and Handling Non-Persistent Environments
- Introduction to Bedrock
- Demonstration of Bedrock - How do I manage multiple systems?
RecordedJan 18 201743 mins
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Modernizing your data architecture is the golden ticket to digital transformation. How do companies achieve better AI/ML outcomes and improved time to analytics while dealing with data sprawl and increasingly complex data ecosystems? Enter a zone-based data architecture intertwined with a DataOps management approach to deliver governed data pipelines and control at each step of the data supply chain.
Optimized DataOps improves visibility and control across the data supply chain while expanding agility and extensibility for better end-to-end data management. The zone-based architectural approach standardizes security at each step. DataOps improves efficiency, reduces costs, and accelerates time to insight resulting in improved analytics, AI, and ML outcomes.
For this webinar, join Zaloni's Chief Product Officer and industry pioneer of the zone-based data architecture, Ben Sharma. Learn about Ben's firsthand experience and lessons learned from the field, along with his recommendations on essential data management, operations, and governance best practices.
- A recommended zone-based reference architecture
- Standardizing data governance
- Considerations for hybrid and multi-cloud environments
Monica Rojas, Big Data Analytics and IT Manager at Tigo
A Modern Data Architecture for Analytics and Governance Scalability
Many companies are undergoing data architecture transformations as they modernize to meet new data and analytics use cases. Still, many face challenges with data sprawl, ensuring data security, and providing self-service access to end-users.
Join Tigo's Big Data Analytics and IT Manager, Monica Rojas, as she discusses how Tigo’s modern data architecture and DataOps approach enabled them to overcome their data challenges and achieve analytics and governance use cases such as customer 360, regulatory compliance, and streaming data sets. During the webinar, you’ll learn how Tigo designed and built their agile data architecture and how they’ve been able to expand into new use cases that drive business value.
- Building a scalable, modern data architecture
- Reducing risk with a zone-based governance model
- Achieving value through use case acceleration
Reducing time to analytics insight is a common goal for today’s organizations, but many face challenges due to data sprawl, migration to the cloud, and lack of enterprise-wide governance.
Join Zaloni data experts in this webinar to learn:
- Modern DataOps processes that quickly reduce data costs
- How to achieve end-to-end visibility and control of your data supply chain
- Enabling cross-team collaboration to improve data quality and analytics insights
Cody Rich is a Solutions Engineer at Zaloni, specializing in enterprise software and solutions sales within Data and Analytics. You may recognize him from previous leadership roles at MetiStream and QGenda.
Jim Coleman, Lead Architect for Partner Integration, DXC & Susan Cook, CEO, Zaloni
Agility in data operations is always essential for business innovation, revenue growth and improving the customer experience. But in a time of crisis like the world is facing now, data management pipelines must be able to quickly pivot to recognize new sources of information in non-standard file formats, and without the added burden of hiring large teams.
On March 26, 2020, Gartner polled more than 400 IT leaders to understand their top actions for controlling costs amid the COVID-19 crisis. The number one action (besides cutting back on travel and hiring) is increasing the use of automation and other advanced IT tools.*
Streamlining your DataOps pipeline through a platform with automated workflows to ingest, catalog, and provision time-sensitive information, gives enterprises the agility, self-service access, and scale in the cloud needed to quickly respond while delivering a better customer experience.
The value your organization delivers is critical. Whether you are faced with processing patient data, executing government relief programs, or securing your supply chain, your analysts need real-time access to trusted data to make fast decisions that have a big impact.
Attend this webinar to understand real-world examples from companies on the forefront of fighting the COVID-19 crisis, and learn how to be DataOps ready for whatever comes your way.
*Source: Gartner Q1 Emerging Risks Webinar
Who Should Attend This Webinar
IT decision makers and those responsible for enterprise data management.
You’ll Learn Data Management Strategies for:
- Data acceleration for faster actionable insights
- Better resource utilization
- Risk reduction
- Transparent communication and collaboration
Leilani Moll, VP Data & Analytics Services at Bremer Bank | Susan Cook, CEO at Zaloni
A common obstacle for a successful customer 360 initiative is attributed to data sprawl and siloed data, which compromises data quality. Bremer Bank has addressed this problem by transforming their organization and data operations to be more customer centric. In this webinar, you will learn how Bremer Bank unified data across multiple business units and third party sources to build golden records in a governed and secure way. By first building a “nucleus” of customer data, Bremer Bank was able to both align with their data ethics mission and meet regulatory requirements in a cost-effective way.
During the webinar Zaloni’s CEO, Susan Cook, and Bremer Bank’s VP of Analytics and Data Services, Leilani Moll will discuss common obstacles faced when pursuing customer 360 initiatives, building golden records from disparate sources, technology and architectural considerations, and finding success using a DataOps approach.
Attend this webinar to learn how to:
Create golden customer records from disparate sources
Increase data operations efficiency with machine learning
Find success using an ethical, customer centric approach
How Bremer Bank is dealing with COVID-related data management
Susan Cook, CEO at Zaloni & Ben Sharma, CPO at Zaloni
End-to-End, governed data operations is key to 2020 data success, speak with Susan Cook and Ben Sharma on why
The multiplying of offerings in the data ecosystem, the move to cloud, and the increase in data sources available to enterprises, has led to new series of challenges for CIOs and CDOs - namely, how to accelerate the time to analytics value while maintaining the control needed to ensure data compliance, security, and quality.
To succeed against the growing potential of data to increase performance, companies need true insight across the entire data journey, a view too often obscured by an uncoordinated array of data-related vendors.
In this first of a new series, Susan Cook and Ben Sharma sit down to discuss the role data operations plays as the “air traffic control” of the data supply chain.
Join them as they talk about:
- The value of having control across the “day in the life of your data”
- How to achieve greater control while broadening permissioned data access
- Why Zaloni’s emphasis on extensibility + governance is key to analytics success
Traditional data catalog solutions often require a conglomeration of separate tools (multiple catalogs, ETL, data governance, etc.) which are managed in silos by separate teams. When a data analyst needs to derive business value from this data, it requires communication across teams, integrations between products, and a high level of coordination to get them the data they need.
A single platform, on the other hand, provides a single source of truth for analysts to quickly gain access to the data they need in a self-service manner. From source to provisioning, the automated data catalog keeps gears aligned and the train on the track. This reduces the burden on the IT staff, while ensuring the right level of governance over the whole process.
An automated data catalog provides the workflow to take your data from source to value without manual intervention. Allowing a small team to accomplish the same tasks as one much larger. The catalog can automatically bring the data in from the systems of record, execute data quality rules, profile the data, prepare it for consumption, and provision it to the locations where the analysts can use it.
During this webinar, Matthew Monahan, Senior Product Manager at Zaloni, will explore:
- The benefits of a single application over connecting various point-solutions
- How automation from source to destination reduces your workload
- Real-world examples that you can leverage
Time to insights. Time to deployment. Time to value. It seems that time is an important factor for many big data projects. The faster they can be completed, the faster the investment starts to pay off. However, today’s organizations face challenges with complex data sprawl, lack of control and security, and data quality issues. These challenges result in unreliable and stale data by the time it reaches a data analyst or data scientist.
You need a solution that allows you to centrally manage and govern distributed data, ensure data quality and security, automate processes, and provide self-service access to quickly and effectively deliver trusted data to your end-users.
In this first of 3 series, Matthew Monahan, Zaloni’s Senior Product Manager, will take you through cutting-edge data management techniques and show you how to leverage a single platform to manage the complete end-to-end data pipeline. Curious how Zaloni can save you time?
Matthew will be discussing:
- Connecting and cataloging distributed data
- Harnessing the power of machine learning and AI to build an augmented data catalog
- Leveraging autonomous data management for improved data quality
- Applying right-sized data governance for security and control
- Providing self-service provisioning for near-real-time access to data
This webinar will provide you with the information you need to guide your users on their journey to an amazing self-service data experience.
Listen as Mike Brady discusses what's needed for a company to modernize its data environments with a self-service data platform. Learn how a move to the cloud and a data governance focus fosters innovation at companies across the world.
Tim Blackwell, Analytics Data Architect at Chalhoub, and Scott Gidley, VP Product at Zaloni
How does your company build and maintain customer relationships? Today, companies own numerous data sources and store massive volumes of customer data. Extensive data collection poses the risks of data duplication, poor data quality, and a lack of transparent data access. Without accurate and reliable customer data, companies may face higher spending along with acquisition and reacquisition costs.
Obstacles like these were apparent across Chalhoub's luxury brand and retail enterprise, a corporation managing over 650 stores throughout the gulf region. To maximize their customer data across multiple e-commerce and CRM systems, Chalhoub architected and deployed a cloud-based, centralized data hub on Microsoft Azure that provided data mastering capabilities to create customer golden records and enabled a 360-degree-view of the customer across all company brands. In this webinar, learn how Chalhoub was able to continue its "customer first" approach and improve their brand performance with Zaloni as a partner in the project.
Join Tim Blackwell, Analytics Data Architect at Chalhoub, and Scott Gidley, VP Product at Zaloni, as they discuss how a holistic view of customer data allows for greater insights and improved targeted marketing to ultimately increase the lifetime value of their customers.
- Utilizing the Customer 360 approach as a foundational data lake use case
- Building customer golden records with a zone-based architecture
- Value achieved through data acceleration
Watch as Ben Sharma, CEO at Zaloni, discusses the "data imperative." Which is to ensure that we guide the current digital transformation in ways that are not just smart, profitable and open, but also wise.
Big data brings the promise of a new, enlightened era of cross-pollination and new ways of seeing information. It’s our responsibility to make data more available to achieve new possibilities while keeping it secure and private.
Rick Karl, Vice President of Value Engineering, Zaloni
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.
- 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
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
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
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.
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
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
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:
- Self-service data preparation
- Governance considerations and how they can enable a more agile data-driven enterprise
At Zaloni, we believe in the unrealized power of data. Our software platform, Arena, improves DataOps with an augmented catalog and controlled, self-service consumption. We work with the world's leading companies, delivering trusted data agility and cost savings while accelerating the time to analytics value. To find out more visit www.zaloni.com.