Strategy for data migration to cloud
Calvin Cortez
Scheduled Oct 5, 2021

Upcoming webinar

Migrating data to cloud can be challenging. A good data migration plan is the key to success. We'll show you what you need to consider to make sure your plan delivers.

Register Browse all webinars


Continuous data ingestion into Snowflake
Kevin Scott
Scheduled Sep 28, 2021

Continuous data ingestion into Snowflake

How do you get data into your Snowflake warehouse quickly - not nightly loads, but quick updates minutes after the data has been created or modified elsewhere?
Data integration: Homegrown or off-the-shelf?
Brano Repcek
Scheduled Sep 21, 2021

Data integration: Homegrown or off-the-shelf?

If you're facing the decision of whether to keep investing in an in-house data integration solution or look for a modern data platform, this webinar will show you what to consider.

Guides & White Papers

A Guide to Migrating Data Workloads to the Cloud

The Cloud Is Not As Magic As They Want You To Think

Building Large Scale Data Migration Frameworks

How to Bridge Data Models and IT Operations for Simpler Compliance

Data Integration Software

The Buyers' Guide to

Architecting Systems For Effective Control Of Bad Data

Your Guide to Enterprise Data Architecture

Designing Data Applications The Right Way

Data Migration for Humans

What makes a data migration successful?

Data Modeling and Data Integration

The Guide to Data Migration Projects

Data Migration for Humans

Conquering Challenges Of Data Anonymization

The Guide to AnaCredit

10 Things You Need to Know about AnaCredit

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.

Download now and learn:

  • How to guard against costs creeping up unnoticed
  • Why estimating pricing is so hard (and how to understand your costs)
  • Why and how to deal with multiple clouds
  • Tips for choosing a cloud vendor
  • Some tips on optimizing performance - from people who've done it

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.

Download now and find out:

  • How an iterative, repeatable and transparent approach can work for your data migration
  • Why it’s important not to actually touch any data by hand
  • How an automated framework frees engineers’ time so they can focus on solving the hard problems

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. 

Download now and find out:

  • How siloed data and fragmented institutional knowledge lead to hefty reconciliation costs and complicated dialogue with regulators.
  • The benefits of 1:1 conversion between your data models and IT operations
  • How our client used the CloverDX Data Bridge to build a clear and repeatable auditing process 
  • The importance of capturing everything in the initial modelling process

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:

  • Best practices for automated error handling
  • How to involve business users in error management
  • How reporting can help auditing and process improvement


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.

Download and discover:

  • The importance of building in a separate data integration layer
  • How to separate the business logic from the data itself
  • How a data integration layer can speed up development, improve access to data and future-proof processes.

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:

  • The danger of thinking a data migration is 'just an IT project'
  • How to minimize complexity
  • The importance of building in repeatability from the start

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:

  • How to scope your project properly
  • Why data discovery should be done before your budget
  • How to plan and work with understandable milestones
  • The importance of building an iterative data migration process

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.