Name: Dealing with Data Sprawl in Enterprise Analytics
Start: 2022-03-01T18:00:00Z
End: 2022-03-01T18:00:59.000Z
Location: BrightTALK
Rating: 4.3

Matillion pioneered cloud-native ELT and now we’re harnessing AI to lead the way again. Our unified platform is the next step in data integration, with AI that enhances data productivity, delivering powerful analytics at scale and speed.


The future of data engineering isn’t bigger teams – it’s smarter ones. Join experts from Snowflake, Matillion, and Searchlight Capital as they explore how leading organizations are transforming delivery with automation, AI, and agentic tooling.

- If you lead data strategy, see how others are scaling Snowflake without ballooning costs.
- If you manage tooling or platforms, get insights on modern delivery models that make your stack work harder.
- If you're in the trenches building pipelines, learn how to offload the repetitive stuff and focus on the work that matters.

Scaling Snowflake With Virtual Data Engineers

We dive into the future of digital data engineering - where intelligent agents and human experts work side by side to solve today’s most pressing data challenges.

As AI accelerates, the data team is evolving. This session explores what it means to be an “agentic” data organization - from tooling and orchestration to real-world applications and cultural shifts.

What to expect:
- How intelligent agents are reshaping the modern data team
- Strategies for navigating complexity and integration at scale
- The future of data engineering in an AI-first world
- Live audience Q&A with top industry voices

Deep Dish Data - The Agentic Data Team

Join us for a fast-paced, insight-packed session featuring Edmund Optics, who will discuss how they transformed their data strategy to support faster, smarter business decisions—evolving from traditional reporting to forward-looking AI initiatives. Daniel from Edmund Optics shares the team’s journey from cloud migration to deploying AI-powered tools using Matillion’s Data Productivity Cloud and Snowflake.

Plus, hear from Patrick Buel, Chief Innovation Officer at Hakkoda, as he shares his perspective on driving innovation through modern data platforms and what it takes to successfully bring AI use cases to life.
Whether you're exploring AI use cases or looking to modernize your data stack, this session is packed with actionable insights on enabling innovation at speed.

Who should attend:
Data leaders, analytics professionals, engineers and IT decision-makers looking to scale AI initiatives with modern cloud data platforms.

Achieve Zero Data Friction: How Edmund Optics Accelerated AI-Driven Insights

Join industry leaders Matthew Scullion, CEO of Matillion, and Sridhar Ramaswamy, CEO of Snowflake, as they discuss how AI-powered data integration solutions are transforming data engineering, enhancing productivity and simplifying adoption. Plus, discover how you can streamline data pipelines, tackle complex tasks with ease, and enhance productivity with Matillion Copilot. 
Whether you're exploring AI use cases or looking to modernize your data stack, this session is packed with actionable insights on enabling innovation at speed.

Who should attend:
Data leaders, analytics professionals, data engineers and IT decision-makers looking to scale AI initiatives with modern cloud data platforms.

Achieve Zero Data Friction: Snowflake CEO Fireside Chat & Introducing Matillion Copilot

We’re diving into the State of Data Engineering: sharing valuable insights, trends, and real-world strategies you won’t want to miss.

As AI accelerates, the data team is evolving. This session explores what it means to be an “agentic” data organization—from tooling and orchestration to real-world applications and cultural shifts. What to expect:

- How intelligent agents are reshaping the modern data team
- Strategies for navigating complexity and integration at scale
- The future of data engineering in an AI-first world
- Live audience Q&A with top industry voices

Deep Dish Data: 2 Year Anniversary Special on Data Engineering

Get ahead of the curve and empower your data teams with a competitive edge! Join us to uncover the latest trends and technologies shaping data management in 2025.

Renowned author of Fundamentals of Data Engineering, Joe Reis, will join Matillion’s Chief Product Officer, Ciaran Dynes, and VP of Product Marketing, Mark Balkenende, in a dynamic 60-minute webinar. Together, they’ll dive deep into key trends discovered through extensive research and real-world customer insights over the past year.

What to expect:

- A retrospective look at the accuracy of Ciaran and Mark’s 2024 predictions
- Key data integration trends shaping 2025 and beyond
- Actionable advice for the strategic decisions your team is considering, plus live Q&A for personalized insights

Data Management Trends 2025

Data infrastructure in the cloud presents unique opportunities for organizations to gain a competitive advantage - learn what sets the most successful Snowflake and Matillion customers apart.

Fireside Chat: Accelerating Data Workflows in the Cloud

Modern data teams are thinking far beyond traditional reporting to maximize their impact. They're employing low code/own code techniques and working hand in hand with data scientists to implement advanced analytics, make accurate predictions and ensure organizational resiliency.

Join Ciaran Dynes, Chief Product Officer at Matillion, and Adam Conway, SVP Products at Databricks, for this fireside chat as they talk about the future of data productivity and best practices for intelligent data pipelines.

Accelerating Data Productivity for Advanced Analytics & AI

Data professionals spend a whopping 64% of their time on data loading and prep. Learn how you can minimize the repetitive tasks involved in building and managing your data pipelines. Be free to code on your terms to build complex transformations and business logic.

Watch this session for a live demo of how to build and manage productive data pipelines via the low-code/no-code interface in Matillion ETL.

To code, or not to code? Optimize your time & boost the value of your data

Join Matthew Scullion, CEO at Matillion, Chris Degnan, Chief Revenue Officer at Snowflake, and Francisco Barroso, Principal of Data & AI Practice at Deloitte, for a Fireside Chat where they will discuss why data science and predictive analytics require a shift in perspective and can be a productivity multiplier - and what's coming next for data productivity.

Unlocking the Value of Data at Scale

Businesses today have to engage in a delicate balancing act between governance of data and speed of execution. As the volume, sources, and speed of data flowing into an organization continue to increase, it becomes harder for the data and compliance teams to properly catalog and track this important asset. To err on the side of caution creates a stranglehold on the amount of new data available for analytics, data science, and operational automation. Too lax of a stance, on the other hand, results in unsustainable exposure and risk.

Organizations have been chasing a way to automate the collection of data lineage and provenance for decades. But without tight integration across a number of tools and platforms, it has proved difficult to achieve. Join us for a fireside chat between Matillion Chief Product Officer, Ciaran Dynes, and Collibra VP of Product, Chandra Papudescu, to hear about the challenges organizations face and how better metadata sharing between partners provides the right balance between development speed and oversight.

Attend this fireside chat between Ciaran Dynes, Chief Product Officer at Matillion, and Chandra Papudesu, Vice President of Product Management at Collibra to learn more about:

- The inherent tension between the quality of data governance and the speed of data pipeline development
- How tighter, automated integrations between ETL and data catalog solutions can help organizations strike the right balance
- Details on Matillion and Collibra’s collaboration to help organizations deliver trusted and secured data at the pace their business demands

Fireside Chat: Deliver Trusted Data Faster with Automation

Change data capture (CDC) has long been a technology component complementing an on-premises enterprise reporting, business intelligence, and analytics program. By identifying modifications and updates to existing data sets, CDC helps to synchronize those updates by forwarding incremental changes to multiple downstream consuming applications, thereby reducing data latency, the need for bulk data transfers, and the disruption of batch data loading.

CDC performed in a traditional on-premises environment was largely performed behind the corporate firewall, soothing fears about inadvertent data exposure. However, as organizations modernize their data environments in the cloud, we begin to see risks of data exposure when change data capture is performed by products outside of the organization’s administrative control. In this webinar, we explore how modernization has opened the door for uncertainty in safely leveraging CDC, how CDC tools are evolving to support hybrid architectures, and how methods of encapsulation can help in governing change data capture.

Attendees will learn about:

- Change data capture basics
- How cloud modernization impacts CDC
- Capabilities of a modernized CDC process
- Characteristics of a CDC system to meet the needs of hybrid architectures

Governed Change Data Capture

Musti Group’s migration of their data environment to Snowflake in 2020 - 2021 had stalled due to the code-intensive complexity of their data integration and transformation solution. Their team did not have the bandwidth to move all of their data and build the business logic necessary for their needs, and the large amount of code required resulted in extensive processing within Snowflake, which prevented them from getting any results in a reasonable time and was also very costly. Musti decided to restart their Snowflake migration with Matillion from scratch in 2021 with exemplary results.

Attend this session and learn how Matillion helped Musti:
- Migrate over 10 data sources and business solutions with Matillion in just four months, enabling Musti to shut down their first cloud warehouse attempt and get  Musti’s cloud data platform migration back on track
- Optimise complex queries, fix errors, and greatly simplify business logic with Matillion’s visual low code/no-code approach
- Simplify the building of data pipelines and business logic, reducing Snowflake processing and costs to one-fifth of the starting point before Matillion
- Increased the amount of data available to the business by 3x, with plans to shorty increase by 10x

Optimising Snowflake Cloud Platform with Matillion

As companies move analytics to the cloud, they are often forced to balance between time spent manually gathering information about their data versus making that data useful as soon as possible. Luckily, today’s enterprises no longer have to compromise between governing data and iterating on it rapidly at cloud scale. By integrating an ETL solution with a data catalog, data teams can automate the capture of data lineage – where the data came from, how it was transformed - and greatly reduce their workloads while accelerating their ability to bring insights to the business.

Join us for this webinar with experts from Matillion and Zeenea and see how you can get started fast in the cloud without compromise:

- Find out about the data governance challenges facing organizations as they try to harness their vast and increasing data
- Learn about the advantages of cloud-native ETL and data catalog solutions – easy to deploy and maintain, extensible, flexible, future proof – for a modern data stack
- Discover how automating the input of data lineage metadata to a data catalog can reduce manual work and accelerate bringing trusted and governed data to the business
- See a live demonstration of the integration between Matillion ETL and Zeenea data catalog that makes this possible

Accelerate Cloud Data with Integrated ETL

Do you feel like you're always playing catchup in data integration work? Is your organization adding new data silos faster than your analytics team and the native integrations provided by pipeline vendors can keep up? You're not alone.

A 2019 IDG survey found that an average of 1,080 unique data sources are used in enterprise analytics programs1. A 2021 Data Ops survey by IDC found that typical data pipelines are processing up to 10 different types of data coming from up to 9 distinct sources2.

Enterprise data is more distributed than ever thanks to the explosion of SaaS tools across organizations. Dealing with this sprawl requires an agile approach that goes well beyond native vendor integrations or unruly hand-code implementations. Join Matillion and leading travel brand, TUI, to learn how you can keep pace with enterprise analytics requirements by building your own SaaS data connectors in 30 minutes or less.

Dealing with Data Sprawl in Enterprise Analytics

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Dealing with Data Sprawl in Enterprise Analytics

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Matillion