Name: DataOps vs. MLOps - The Data Championship
Start: 2021-09-06T07:06:00Z
End: 2021-09-06T07:06:16.000Z
Location: BrightTALK
Rating: 0

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.

Join Zaloni's CTO, Ashwin Nayak, for a LIVE Q&A session after attending his ODSC presentation where he explores the best practices through his firsthand experience on why you should and how you can begin to automate governance at scale through modern technologies and machine learning by diving into the importance of a data platform as it offers the technologies and tools necessary to establish machine learning automation for all data governance processes. 

Data Governance is a critical component to ensuring a company is compliant with privacy laws and regulations alongside providing their data citizens with secure self-service access to trusted and quality data. Often, data governance processes are not automated, creating a challenge for data environments to scale as data increases.

So whether you know it or not, there is a growing need to automate data governance processes. However, it can be easier said than done. Beginning to implement such automation can be a real challenge if you're unsure how to measure the performance of current governance practices or how to improve governance already in place.

With governance automated, your organization can scale through secure self-service access to trusted, clean data that drives data-driven decisions and accelerates analytics, and measures the effectiveness of the data governance program.

After this webinar, you should be able to answer:
- How and when governance should fit into data platform initiatives and the overall digital transformation journey of the company.
- Know what metrics an organization should care about when it comes to governance.
- What the role of governance is within an organization based on data privacy, policy, and compliance.

Making the Business Case for Automated Data Governance with Live Q&A

Learn why and how to extend data lineage beyond the data catalog for end-to-end data observability.

As data technology stacks continue to grow and become more complex, many data stewards lack the end-to-end visibility required to understand where data came from, what changes were made to it, who accessed it, where it was provisioned, and how it was used in a BI, AI or ML tool. Data citizens struggle with a lack of information about the data populating their dashboard or BI tool, its history, and its data quality. 

Data-driven organizations are turning to data catalog and governance platforms to help them track the lineage of their data assets. However, many of these tools don’t follow every step in the data journey from data source to consumption in a BI, AI, or ML tool. In this webinar, Moa Passador, Zaloni’s Director of Solutions Engineering, will walk you through the value of end-to-end data lineage and will demonstrate how lineage beyond the data catalog provides data stewards and data citizens with complete observability of their data. 

During this webinar, you’ll learn: 
- The value of end-to-end data lineage
- Why lineage is a critical capability for modern data governance
- A recommended holistic, API first, approach to data lineage and observability

Data Observability: Extend data lineage beyond the data catalog

As data ecosystems become more complex with numerous data sources and asset types, implementing proper data governance best practices is crucial to ensuring security and regulatory compliance. Unified, end-to-end data governance allows organizations to extract value from the data sets collected, providing clean, accurate data that provide organizations with the opportunity to develop new data products, enable AI and ML initiatives, and make data-driven business decisions. 

In this webinar, take a deep dive into data governance best practices using a DataOps approach with Zaloni's Chief Product Officer and Founder, Ben Sharma, alongside Venk Dakshin, Senior Director, Enterprise Applications and Architecture at Alexion Pharmaceuticals. Attendees will learn where their organization falls within the DataOps maturity model, a model that shows the stages of DataOps maturity and how to progress through each stage, and hear about Alexion's data governance journey with Zaloni, discussing specific use cases and data governance best practices they have successfully implemented within their organization. 

In this webinar, you will learn:
- Leveraging a zone-based architecture and DataOps to efficiently deliver trusted data 
- Pinpointing where your organization lies within Zaloni’s DataOps Maturity Model
- Data governance best practices to ensure compliance and standardization across complex data ecosystems with considerations for multi-cloud and hybrid environments

Data Governance Best Practices: A DataOps Approach with Alexion Pharmaceuticals

Join us for a webinar to learn from AWS Partner Solution Architect, Shashi Raina, and Zaloni Director of Product Management, Matthew Monahan, about best practices for implementing data governance on AWS from a single app. 

Topics will include: 
- The key benefits of a DataOps approach to data governance
- Best practices for data governance on AWS
- Recommended services and technologies to implement your AWS data governance program 

REGISTER NOW
If you can’t make it on 10/13, you can still register to receive an on-demand link.

Take control of your data in AWS with unified data governance

Learn why — now more than ever — the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI with none other than Randy Bean!

You'll learn about:

- The emergence of Big Data and why organizations must become data-driven to survive
- The state of data in the corporate world today, and the principal challenges
- Examples of companies that are demonstrating data-driven leadership and what we can learn from them and lots more from his book.

Data Driven Leadership with Randy Bean

Take a peak inside Zaloni's purpose-built data governance solution to control data across AWS. This to-the-point demo is all about showcasing our leading data governance solution. 

Join the Zaloni Solutions Team to see the only unified data governance tool that can offer:

- Centralized visibility and control over all your AWS accounts and regions. 
Catalog your data wherever it resides, across AWS accounts and on-premise environments, through in-schema reading. 

- Self-service data access request management across all your AWS accounts and regions.
Data citizens have visibility into all data sources through a data marketplace and can request for approval to access, adding an extra layer of security. 

- Deep integration and bi-directional sync with AWS Glue. 
Enrich both data catalogs with additional operational context and business metadata to track lineage while masking and tokenizing sensitive data. 

- Low-code, no-code user-friendly UI that simplifies data governance on AWS. 
Connect and orchestrate AWS services on a business-friendly UI, making it easy for non-technical employees to perform technical tasks.

Simplified data governance for all your AWS accounts

“The CDO role has risen to be at the center of power in a digital world but also has proven to be one of the most gender diverse ( …. of all tech and business roles). Today, you can find women data leaders at many companies, large and small. Combining technical expertise with deep understanding of business needs, these CDOs are conquering some of the most pressing real-world challenges with modern solutions and style,” says Cindi Howson, Chief Data Strategy Officer at ThoughtSpot and Host of The Data Chief Podcast

Moderated by Susan Cook, Chief Executive Officer at Zaloni, watch this fireside chat, hear directly from an all-women panel of leaders in data and analytics.

Discover the priorities, investments, and organizational changes that CDOs are, and should be, making to enable data-driven success at scale.

Panelists include:
Gail Evans, Chief Digital Officer at Mercer
Cindi Howson, Chief Data Strategy Officer at ThoughtSpot and Host of The Data Chief Podcast
Jodi Morton, Chief Data Officer at KPMG US

Where are CDOs investing?

Organizations that modernize are able to take advantage of cloud-native technologies to enable self-service analytics and machine learning across a wide range of data assets. This ubiquitous access accelerates their pace of innovation and unlocks new business insights. However, finding useful data, auditing, and ensuring sensitive customer information is protected remains a challenge. In this session, Roy Hasson discusses the need for data governance in a cloud-based data lake, what you’ll need to establish a data governance program and how AWS-native technologies like Zaloni can help you deliver on the vision of offering self-service analytics in a secure and governed manner.

Join this session to learn:
- The key benefits of a data governance program
- Core components of a successful data governance program
- AWS-native technologies that you can use to implement a data governance program for your cloud native data lake

Data Governance in the Cloud

Zaloni helps customers gain visibility and control across data silos. In this 10 minute to-the-point demo you will see Zaloni’s Arena DataOps platform in action and understand use cases for an automated and zone-based approach to data governance that accelerates analytics success.

Data Governance Play-by-Play

As data continues to grow and companies make the move to the cloud, many face challenges managing and governing these increasingly complex data ecosystems. The modern data management methodology, DataOps, is helping companies rethink how they manage their data by blending some of the best practices of agile software development and lean manufacturing.

During this session, Ken Kryst, Partner at PwC shares their journey of expanding collaboration through end-to-end Dataops while covering the key elements to achieving business transformation.

From this session you will learn about:
- The need for DataOps
- DataOps Value Equation
- DataOps Definition
- PwC DataOps Framework

Collaboration through DataOps

With the evolution of today’s information economy, managing and leveraging customer data is key to business success for both B2C and B2B enterprises. In order to take full advantage of real-time digital economy and artificial intelligence capabilities, customer data is at the center of automated decision making. Many enterprises struggle with managing customer data in this digital age with multiple business demands, data laws, data quality issues and complex data governance. During this session, Gokula Mishra covers the key elements to getting the customer data management right.

Customer Data Management: Key to Your Business Success

Often the term "data literacy" conjures up images of upskilling the general population to be savvy information consumers and informed decision-makers. But robust data literacy programs are also for establishing a shared language for "speaking data" across a wide and varied set of roles, and unlocking radical collaboration.

Join this session to learn:
- What is data literacy- really? And what is meant by "speaking data"?
- Why data literacy, and why now? A convergence of disciplines, across diverse roles and backgrounds.
- How to unlock radical collaboration? The 3 keys to fostering data literacy.

Unlocking Radical Collaboration through Data Literacy

Data platforms are being deployed in cloud computing environments at a rapid pace. Cloud-native or cloud-agnostic data stores and data tools are key in the migration of data from on-premises environments to cloud environments. That’s why Zaloni partnered with MongoDB to create an innovative solution for modernizing data from on-premises relational databases to MongoDB Atlas, MongoDB's hosted database-as-a-service in the cloud. This solution allows enterprises to realize new use cases such as creating golden records for 360-degree customer views or enabling faster time to data monetization.

Join this session to learn about:
- Architecting cloud environments
- Optimizing DataOps in the cloud
- Cloud data management success stories

Cloud Database Modernization

Jatin, Zaloni’s Director of Engineering, shares his thoughts on the importance of DataOps for achieving success at scale on data analytics initiatives. He advocates for a DataOps practice to drive continuous improvement along a pragmatic maturity model. The central themes are a collaborative catalog for data assets, zone-based governance for managing visibility and control across silos, and low-code automation for rapidly enabling new data use cases.

Watch this session to learn about:
- Standardizing governance across organizations
- Automating steps in the data supply chain
- Reducing costs and delivering trusted data to business users

Auto-Governed DataOps to Improve Time to Analytics Value

Increasingly, IT and business executives talk about information as one of their most important assets. But few behave as if it is. Executives report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. And corporations typically exhibit greater discipline in managing and accounting for their office furniture than their data.

In this session, Mr. Laney shares insights from his best-selling book, Infonomics, about how organizations can actually treat information as an actual enterprise asset. He discusses why information both is and isn’t an asset and property, and what this means to organizations themselves and the investment community. He covers the issues of information ownership, rights, and privileges, along with alternative data challenges and opportunities, and his set of generally accepted information principles culled from other asset management disciplines.

This session is beneficial for those looking to help their organization move beyond the trite “data is an asset” or “data is the new oil” lip-service to actually begin acting that way.

Learn:
- How to monetize information assets in a wide variety of ways, including a number of real world examples
- How to manage information as an actual asset by apply asset management principles and practices from other asset domains
- How to measure information’s potential and realized value to help budget for and prove data management benefits
- How classic microeconomic concepts can be applied to information for improved data architecture & management, and economic benefits

Infonomics - The New Economics of Information by Doug Laney, West Monroe

DataOps is an emerging methodology for building and automating data pipe-lines. Drawing from DevOps and agile approaches to software development, DataOps focuses on four key pillars: continuous integration and deployment (CI/CD), orchestration, testing, and monitoring. It promises to accelerate project times, decrease errors, reduce costs, and improve customer satisfaction. But how do you get started? 

This webinar will explore the ten steps to building a complete DataOps strategy. These steps address both organizational and technical aspects and span the people, processes, and technologies the make up the modern data work-flow. You will leave with a clearer understanding of what DataOps can do for your business and a roadmap for implementing the methodology.

In this webinar, you will learn:
- The benefits of the DataOps methodology
- The essential pillars that make up DataOps
- The steps to building a complete DataOps strategy

Getting Started with DataOps

With so many buzzwords in the IT industry earning the “Ops” title - Zaloni’s VP of Engineering breaks down exactly what the differences, similarities, and benefits are between DataOps and MLOps, and how they can be used together as an integrated approach for best results. Hear from Ashwin Nayak on how automated DataOps can be used independently or alongside the collaborative practice of MLOps to drive ultimate analytics and machine learning success.

What you will learn:
- Definition of DataOps and MLOps
- How MLOps can be integrated in the end-to-end DataOps journey
- Process and team required for successful rollout

DataOps vs. MLOps - The Data Championship

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DataOps vs. MLOps - The Data Championship

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