This piece – for the Storage section of Computer Weekly – will provide an overview of data classification tools. We will also look at how analytics tools and data classification overlap (and indeed, how analytics is hard to do without data classification). So I am open to hearing from vendors and end users in the storage, data science and business analytics camps.
We aim to cover:
- What is data classification and why do we need it?
- What kinds of tools can help with data classification?
- What do they do? Are there different categories of tools
- Who are the key provider, including those in the cloud?
I don’t anticipate using direct vendor quotes but I am open to vendors sending a brief summary of their capabilities in this space, along with any end user examples or case studies.
The deadline for leads is Tuesday, 21 March, 1700hrs London time.
Please email me in the first instance.
I am working on the features below for Computer Weekly (for late August/early September publication). Deadlines for contributions noted against each article.
Data classification policy
How do you write a data classification policy, and more importantly, what should it cover?
In this feature we will look at:
- What do we understand by data classification?
- What is it used for? (eg for, backups, compliance, storage management and budgeting)
- What does such a policy take into account?
- What are the benefits of data classification?
- What are the key elements of a data classification policy, and how would you start drafting one?
Deadline for contributions: Friday 5th August
How do we measure cloud storage TCO?
What are the key things to take into account when working out cloud storage costs as a total cost of ownership?
This piece will drill down into the main cost areas for cloud storage services. These could include capacity, storage tiers, AZs and egress costs, though that is not an exhaustive list. The piece will also compare these costs with the costs of on-premises storage technology.
In addition, we will look at which workloads are the most (cost) effective in the cloud, both for long term and “boost” usage and which, for now, are not.
Deadline for contributions: Friday 12th August.
This piece is an “explainer setting out when, why and how firms will “burst” their workloads to the cloud. The piece will cover:
- What is cloud bursting?
- What are the benefits of cloud bursting?
- What type of workloads can benefit from cloud bursting?
- What are the limits / obstacles to cloud bursting?
- What workloads are never (or almost never) likely to use cloud bursting?
- How difficult is cloud bursting?
Deadline for contributions: Friday 19th August.
For all these articles please contact me by email in the first instance, if you are contributing to a specific article please note that in the subject line. If you are responding on behalf of more than one client, please use separate emails. Many thanks.