Tag: unstructured data

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Computer Weekly: storage features, July 2022

I am looking for input for the following two features:

Backups and recovering from ransomware attacks

What are the benefits of having a good data protection strategy when facing ransomware. And what are the shortcomings of data protection and backup that cannot overcome the likely effects of a ransomware attack?

The piece will cover:

RPOs and RTOs. What could be the effect of ransomware attacks on how much data you can recover and from how long before the attack?

How useful as media to recover from are: backups, snapshots, cloud storage and backup and tape?

To what extent is it possible to air-gap stored data?

In what order should data be restored when recovering?

Deadline for submissions: Wednesday, 6 July

Unstructured data storage – on-prem vs cloud vs hybrid

What are the pros and cons of storing unstructured data on-prem vs in the cloud, and what is the role of technologies that allow for hybrids between the two?

The piece will cover:

What are unstructured data and why are they important?

How big an issue is storing unstructured data?

What are the pros and cons of:

On-prem: The ‘classic’ use of large-scale scale-out file storage, and the more recent use of object storage, and attempts to converge the two

Use of cloud storage

Hybrid approaches, including Snowflake, where unstructured data is given structure and on-prem can be a source.

Deadline for submissions: Wednesday 20th July

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. Many thanks.

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Upcoming commission: unstructured data compliance

For Computer Weekly, I’m looking at the compliance issues around gathering, storing and processing unstructured data.

This article will examine the likely compliance risks in unstructured data, and suggest potential solutions. It will ask:

  • What is unstructured data? How does it compare to structured and semi-structured data types?
  • Why is compliance an issue at all?
  • Why is achieving compliance of unstructured data potentially problematic?
  • What are the key steps to achieving unstructured data compliance?

As businesses gather ever greater volumes of unstructured data, and develop new ways to process and analyse the information, compliance becomes increasingly important. This is especially the case when organisations start to combine data sets, and use advanced analytics to search for insights in the information. Does the original consent to hold and process the data carry over to this type of application? And what happens when unstructured data is mixed with other data sets?

For the piece I am keen to have comments from data scientists, compliance experts, academics, lawyers and end user IT organisations. As the deadline is quite short, please send pitches, initial comments and leads to me by 1200 London time, June 13th by email please.