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Plan your data migration to avoid costly mistakes and inefficient bottlenecks. Find out how here.

https://hubs.li/Q011QmjN0

A successful data migration takes careful planning, or it can be time-consuming and expensive. Get tips on how to avoid these issues here.

https://hubs.li/Q011Q5fr0

Migrating to the cloud takes a good deal of forethought, even if you are just choosing to "lift and shift". We've assembled the steps you need to make the process run smoothly. >> https://hubs.li/Q011NMtd0

Discover the difference between data integration and data ingestion, as well as how automation can help each process.
https://hubs.li/Q011NMD_0

#DataIntegration #DataIngestion

Looking to modernize your data warehouse in the cloud? Follow these six key steps.

https://hubs.li/Q011NBtq0

#DataWarehouse #CloudComputing

Data integration and data ingestion may sound similar, but they have one key difference. And it all comes down to the number of systems you're working with >>

https://hubs.li/Q011NLbd0

#DataIntegration #DataIngestion

The more complex your data and applications, the more time, effort and money you'll need to spend on your cloud migration. We break down your options in our blog. >> https://hubs.ly/Q011NQZQ0

Deciding to migrate to the cloud is easy, but that's just the first step of many. Read our blog to find out the steps you should take in your migration. >> https://hubs.li/Q011NLhB0

Tired of your cumbersome and costly on-premise data warehouse? Here's how you can modernize >>

https://hubs.ly/Q011NBtp0

#DataWarehouse #CloudComputing

From building modern ETL data pipelines to cost management, here are six steps to modernizing your data warehouse in the cloud.

https://hubs.li/Q011NLN50

#DataWarehouse #CloudComputing

Upgrading or replacing legacy systems is great - but in the real world we all know it's not always possible. But you can still bring that data into even the most modern, automated data processes. Register for this session (Dec 14th) and see how:
https://hubs.li/Q010z5Sq0

#DataMigration tip - make sure you formalize key rules so everyone's on the same page. For example - formalizing your data mapping descriptions helps avoid invalid test and invalid data in production.

Clip from The Data Migration Checklist: https://hubs.li/Q010z4DM0

In an ideal world, location of your data in cloud doesn't matter. But in reality it does matter. Data regulations are important to understand when figuring out your #cloud options.

Clip from Improving Security and Compliance in Data Ingestion: https://hubs.li/Q0104FfN0

The new version of CloverDX is coming later this month. Join us for this live session where we'll introduce all the new features and improvements in this release. Register here >> https://hubs.li/Q010f41j0

Trying to work with modern cloud-based data processes - and also that dinosaur old system that you can't get rid of? 🦕 Find out how to integrate them more easily: How to bring legacy systems into your modern tech stack https://hubs.li/H0_Y4380

The new version of CloverDX is coming later this month. Join us for this live session where we'll introduce all the new features and improvements in this release. Register here >> https://hubs.li/Q010d_R40

Upgrading or replacing legacy systems is great - but in the real world we all know it's not always possible. But you can still bring that data into even the most modern, automated data processes. Register for this session (Dec 14th) and see how:
https://hubs.li/H0_Y0Hj0

How and where to encrypt your data? There are a few options, but one key tip - never try to implement your own algorithm to do it.

Clip from Improving Security and Compliance in Data Ingestion: https://hubs.li/Q0104Cwl0

Boosted productivity is just one of the benefits when you automate more of your data management strategy.

Check out our article to find out the other benefits.

https://hubs.li/H0YJwmw0

#cloud #bigdata

How to bring legacy systems into your modern tech stack - join us for this session on December 14th https://hubs.li/H0_Y0030