In this webinar, we'll explore what "Data Ops" is, why should you consider it and how to begin your transition to a DevOps and DataOps-style of work.
Moving from on-premise to cloud can be complex. This guide walks you through what you need to know, and the pitfalls to watch out for.
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When managing large-scale data migrations, often with multiple legacy systems, the traditional approach means the repetitive effort grows with the project scope.
But with a repeatable framework approach that automates much of the simple work, you get faster results and significant cost savings.
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If you're struggling to meet stringent regulations such as Basel II or MiFID, automating the translation of these models can help you obtain a single, standardized version of the truth and provide a trusted link between documentation and production systems.
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Looking for data integration software but not sure where to start?
Start with our Buyers' Guide.
This guide walks you through everything you should be considering when choosing the right software for your business - from how to identify your organization's needs and capabilities to planning for the future and tips to get the most out of a demo.
Read now and discover what you need to be asking potential vendors.
Bad data is unavoidable. But you can (and should) design your data processes to manage that bad data effectively.
Read the white paper to discover:
Is a data warehouse or a data lake the best option for your business?
Or is your best choice for enterprise data architecture something different?
This white paper looks at what each option involves, and the advantages and disadvantages of data warehouses, data lakes, data vaults, data hubs, data marts and more.
Does your business handle data with an Excel file full of formulas and macros, being exchanged over email between people who don't really understand how it works?
If this approach is becoming unsustainable and error-prone, read this white paper to learn a better way.
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If you're facing the prospect of a data migration, this e-book will help you understand how to prepare and plan for a successful project.
Download the e-book now and discover:
Data models provide a graphical, intuitive way for both business and technical stakeholders to visualize complex data structures and relationships.
But data models have historically required development effort to turn them into actionable code.
The CloverDX approach can help automate this process.
Bringing data models and data integration together can improve collaboration between business and IT, speed up time to production and turn data models into ETL jobs at the click of a button.
Download the Guide to Data Migration Projects and discover the 13 stages involved in a migration, and the best practices to make each one a success.
The guide will show you:
Getting high-quality test data can be a real challenge when it comes to testing.
Synthetic data can never represent the same use case coverage and quality as real production data. But using production data can risk violating security or privacy policies.
This white paper outlines how you can anonymize production data effectively to get the best possible data for testing.
10 Things You Need To Know About AnaCredit
AnaCredit (The Analytical Credit and Credit Risk Dataset), is a project from the European Central Bank (ECB) to create a shared database containing information on bank loans to companies. Credit institutions across the Eurozone will be required to report specific, standardized data on loans and other credits.
This e-book answers 10 key questions about AnaCredit and explains how to prepare for its data demands.
One of the key motivations for moving data workloads to cloud is the ease of scaling the infrastructure to accommodate massive data volumes.
Join us on this webinar to learn about building scalable architectures in cloud using CloverDX Cluster. Learn about:
DataOps is one of the methodologies that helps fast-moving companies ensure that they can extract value from their business data as soon as possible.
Join us on this webinar to see how CloverDX can help you with your DataOps challenges:
By adopting DataOps, data teams can react quickly to changing business requirements and deliver the results to their users as soon as they can, while maintaining a high quality of the data. DataOps pushes teams towards more collaboration and heavy automation of their workflows.
Moving a data warehouse to cloud has been the craze for the last few years and more and more organizations are relying on the likes of Redshift and Snowflake as primary landing destinations for their data.
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Processing their data effectively is quickly becoming a core competency of more and more companies. Even companies not traditionally associated with “high-tech” must invest into robust IT solutions to be able to effectively extract value of their data.
DevOps and DataOps have emerged as two common approaches (philosophies even) that help companies manage the complexities of a modern data-centric world.
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In this session, we chat with Russ Ronchi and Andrew Spear of omnichannel technology consultancy Formula 3 Group, as they discuss how they keep their company small and agile while working with the likes of Nike, Vans, Ring and True Religion.
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Watch it now and learn how smart use of technology can help you achieve scale while staying nimble enough to react quickly.
How automation considerably reduces cost and effort you're now wasting in Excel.
Many organizations rely upon manual processes that could be automated. We believe it's a missed opportunity; we like to see businesses focus on adding value, not tirelessly laboring over data.
In this webinar we'll explore the difference between the 'manual' approach and 'technological' approach.
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It’s only natural to start with a simple solution that you put together using the tools you already have and know well – scripts, databases, or cheap & simple integration services.
In this webinar, we’ll discuss how to tell when it’s time to move on to a more mature platform and the benefits and challenges it brings:
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Very often complex data structures need to be converted into simpler, homogenized (“flatter”) structures. In this webinar we’ll talk about how to streamline and automate data mapping processes from unstructured formats (JSON, XML, HL7, …) into simpler, manageable structures.
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Jake Tupa, SVP Technology Innovation at one of the fastest growing banks in America, Choice Bank, joins us to talk about data, technology and innovation in the banking and FinTech space.
We'll be discussing the challenges involved in access to and use of data in a traditional banking environment, and how to build an infrastructure that enables innovation.
Whether you're trying to onboard new client data or set up new data feeds from all sorts of sources, you need to be fast and efficient.
Watch our webinar where we'll take a look at the challenges and best practises for ingesting data into applications and how to make it easier, faster and quite often just even possible.
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Ever wondered why some APIs are just so annoying to work with?
Join us for a practical show of how you can deal with complicated APIs in CloverDX.
We'll be looking into:
In this webinar we dive deeper into options you have available to run CloverDX in AWS or Azure cloud.
We look at architecture and best practices when installing CloverDX from packages available in AWS Marketplace and Azure Marketplace. We talk in more detail about:
Watch our demonstration of how you can build custom data APIs (Data Services) and create user-friendly interfaces with a single click of a button.
Connecting applications, either peer to peer or making near real-time data exchanges between applications and data storage, has become a normal part of data workloads. CloverDX is a great platform to support these mixed processes, facilitating exchange of data between storage, applications and people.
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The architecture and operation of a data pipeline in cloud is a very different exercise compared to setting up traditional on-prem ETL processes of the past.
Let’s dive deeper into the architectural patterns (and antipatterns) of cloud when it comes to setting up data processes. We’ll look at the technical considerations and some caveats you might encounter when building in cloud.
This will be a technically oriented session, basic knowledge of cloud products (VMs, Redshift, S3…) will help you fully benefit from the session.
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Watch our webinar where we’ll discuss the pros and cons of moving your data to cloud, what to look for and what choices you’ll have to make (and how to make the right ones).
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We talk about the important role migration frameworks play for organizations implementing Workday, with a real-life example we did for a client.
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Data owners understand their data, and the more hands-on they can be with it, the more strategic advantages an organization has.
In the webinar we present a unique solution that empowers data owners without the danger of organization losing visibility and governance. (Hint - it enables you to use your data models directly in your data infrastructure).
On this webinar you'll discover how to:
Data integration projects come in many sizes, shapes and colors. It’s safe to say no two are alike.
One thing they do share, however, is their susceptibility to a common set of costly design and implementation mistakes.
Watch our webinar and learn how to recognize and avoid the common pitfalls!
Whether it be choosing a partner, defining your timeline, or characterizing your data and your intended audience, before you launch your next data integration project.
Kafka enables you to stream data in large quantities, but doesn't provide any real data-wrangling capabilities. CloverDX can help you work with data in Kafka and create comprehensive and auditable data pipelines.
Watch the webinar where we'll show you how to create modules in CloverDX that can:
Watch the webinar for a bird's eye view of the potential dangers data represents to organizations.
GDPR, CCPA, HIPAA and many other regulations and policies force us to take data, its lifecycle and the ways we treat it more seriously than ever before.
In this webinar we'll take a look at the dangers data can present, and show you how you can still get value from your data, without putting your organization at risk.
In this webinar we'll discuss what moving 'something simple' to the cloud really involves.
We'll examine the difference between deploying on-premise, the "VM way" and the fully-cloud way.
And we'll show you a behind-the-scenes look at a real-life case, where a requirement from several business units triggered a hasty implementation at first, then raised some fundamental questions, and eventually lead to a cascade of decisions and an AWS cloud solution.
In this webinar we'll look at the rise of APIs in modern data pipelines, and show you how you can use CloverDX to integrate applications' data with your ETL processes.
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Bad data is so common that it would be seemingly insane to design your data processes and application to count on data being flawless.
Yet, many of us do.
In this webinar we’ll show you some best practices and techniques for assessing and ensuring data quality.
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Discover how to make your data models directly usable in IT operations.
Bridge the worlds of business and IT by generating actionable code directly from your data models. We'll show you how this approach can:
This webinar examines 3 case studies where data integration tools have been just as valuable in developing a data architecture as they are in operating that architecture.
How do you choose the right data architecture for your needs?
Watch this webinar and discover:
This webinar looks at how a data integration platform can enable analysts to spend more time analyzing, and less time on the mundane work such as validating and cleansing data and delivering results.
This webinar explores some techniques for ensuring data quality in your systems and looks at how you can use CloverDX to improve the quality of your data.
Watch this webinar and see how you can use CloverDX to simplify and automate data integration processes.
We also look at real-life examples of how people use CloverDX for reporting, data migration, data warehousing and analytics.
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