Migrating Data from Redshift to Azure: What you need to know

Organisations will look to migrate their data for a number of reasons such as, overgrowing existing data infrastructure and platform, budget and costs and evolving data with evolving requirements. Data migration can be a costly and complex process, therefore it’s imperative to consider your options before choosing the right technology and platform for your data. […]

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Migrating data – how to plan your data migration

Migrating data – how to plan your data migration

On average for a data migration project, costs overrun by 30% and time overruns by 41% as highlighted in a report by Oracle. Most data migrations fail to be completed within time and budget for a number of reasons including the understanding of the quality of data, lack of sufficient data governance and thinking that […]

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Data migration strategies – Trickle Vs Big Bang

Data migration strategies – Trickle Vs Big Bang

Are you looking to migrate your data? Is it because your data has outgrown your existing systems or do you want to centralize your data? Whatever, the reason behind your decision, data migration can provide incredible benefits to organisations ranging from improved data performance, collated information, and data set, reduce long terms costs and increase […]

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What to consider when migrating your data

What to consider when migrating your data

Migrating data can be a challenging and complex process especially if your organisation is dealing with large volumes of varied data that is collected at fluctuating speeds as well as data that may be sensitive. There is potential for data exposure and leaks which can be detrimental to a business, especially when dealing with sensitive […]

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AWS EC2 Vs Azure VM - Comparing Cloud Technologies

AWS EC2 Vs Azure VM – Comparing Cloud Technologies

When it comes to choosing a cloud service, it’s fair to say that the more advanced they get, the more options become available, and the more difficult it can be to decide what technology best suits your specific needs. AWS EC2 and Azure VM are technologies offered by leading technology brands, Amazon and Microsoft. […]

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Key challenges with managing data pipelines

Key challenges with managing data pipelines

Data is constantly evolving and growing this directly impacts the complexities of data pipelines as they aggregate and transform and transfer the data from source to destination. As the number of data sources grows, businesses are looking to build secure, robust and scalable data pipelines to collate their data to get the full picture. Data […]

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Things to consider when looking for a data engineering partner

Things to consider when looking for a data engineering partner

Businesses produce a large volume of data every second of the day, this data comes from a variety of sources in multiple formats, increasing the complexity of effectively making sense of it. Many organisations will not have the resources in-house to manage their data and uncover powerful insights which can drive business strategy and growth. […]

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Key challenges with data warehousing (1)

Key challenges with data warehousing

Well architected data warehouses offer a number of benefits including improving data consistency, quick turnaround on data analysis and reporting and improved data security, to name a few. Although these are great benefits there may be certain challenges that you may face with data warehousing. […]

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Hybrid cloud or multi-cloud – what’s the difference and what is right for you?

Hybrid cloud or multi-cloud – what’s the difference and what is right for you?

Cloud adoption continues to accelerate, particularly with the drive during the pandemic when organisations around the world were forced to work remotely. According to a report by Flexera, around 92% of organisations have a multi-cloud strategy in place whilst 80% of organisations have a hybrid cloud strategy. Organisations will continue to embrace the different cloud […]

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Data Warehouse or a Data Lake – Key differences and choosing what is right for you

Data Warehouse or a Data Lake – Key differences and choosing what is right for you

Storing big data effectively in a structured, organised way is becoming a challenge for many organisations especially as data is rapidly growing. Although both data warehouses and data lakes are used to store large volumes of complex data, they have a number of key differences which means they cannot be used interchangeably. […]

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