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Enterprise File Fabric™

Tag: metadata

Posted on December 23, 2020December 24, 2020

Enterprise File Fabric 2020 Highlights – Cybersecurity

The core focus of the Enterprise File Fabric is providing multi-cloud content collaboration with strong cybersecurity and compliance protection for a company’s entire date state, whether that is file or object storage; and whether that is stored on-premises or on-cloud.

Having employees outside the office working and accessing data from different locations, this year more than ever it was crucial for companies to feel their data was secured.

Remote Working, or working on the move can often be the weak point of document compliance, but the File Fabric Apps and best-of-breed integrations mean that end user workflows remain the same and policy and compliance enforcement is unchanged.

Here’s a recap of the remote cybersecurity features that were reinforced within the Enterprise File Fabric this year:

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Posted on December 21, 2020December 24, 2020

Enterprise File Fabric 2020 Highlights – Media Edition

One of the elements that set the File Fabric apart from other content management solutions available in the market, is the strength of features aimed at Media and Entertainment companies that deal with large amounts of media assets, and that provides non-proprietary storage workflows for Media Asset Management.

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Posted on November 20, 2020

Jibe: Real-time Content Monitoring of Files and Objects for Compliance and Search

The Enterprise File Fabric provides a global file system through which users and applications can transparently access corporate file systems and object storage no matter where they or the storage is located. To provide universal browsing, search, and other services the File Fabric scans and smartly indexes file and object metadata. In this way, no data is copied or replicated, and the metadata is used to build out the high-performance global file system.

Unlike other global file system solutions, the File Fabric does not prevent direct access to the storage – what we call bi-model access. Data can be accessed and updated concurrently through the File Fabric and directly through native file and object-APIs. When objects are updated through native APIs the File Fabric metadata should also be updated to keep indexes and other metadata synchronized.

An earlier blog article outlined three general approaches for keeping metadata up to date, including a specific example using Amazon S3 object notifications. See Using AWS Lambda to Automatically Sync Metadata With S3 Events. This article describes a similar approach we have developed for file systems using the same framework we call Jibe.

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Posted on July 16, 2020August 18, 2020

Solving the Multi-Cloud Storage Problem with Intelligent Metadata

Metadata is in basic terms, data about other data. We can think of Metadata is similar to an iceberg, on the surface is what is visible ie. the file with basic information such as time, date etc, but beneath the surface is a wealth of valuable data which can make finding and working with certain types of data easier.

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Posted on February 24, 2020April 23, 2021

Using Multi-Cloud Automation Rules to detect PHI / PII / SPI data

As companies undergo Digital Transformation they increasingly hold more and more sensitive information. Such information can take many forms including, but not limited too, Protected Health Information (PHI), Personally Identifiable Information (PII), and Sensitive Personal Information (SPI).

Sensitive information such as this can be securely managed by the Enterprise File Fabric™ by combining Content Discovery and Data Automation rules to perform specific actions when new files are added to the File Fabric. The File Fabric facilitates this through the use of metadata. Metadata is data that provides information about other data.

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Posted on February 16, 2020October 5, 2020

Using AWS Lambda to Automatically Sync Metadata With S3 Events

Lambda Metadata syncThe Enterprise File Fabric indexes Amazon S3 metadata to provide a number of enhanced file services over S3 object storage including reading/browsing and searching. The File Fabric has its own indexing engine to provide these services.

Applications may update/upload/delete objects through the File Fabric or in a bi-modal fashion directly through S3 APIs. When objects are updated directly using S3 APIs the File Fabric metadata must also be updated. There are a number of ways that the metadata can be updated:

Continue reading “Using AWS Lambda to Automatically Sync Metadata With S3 Events”

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Posted on October 11, 2019

Meta-data Sync and Re-Sync Optimizations in v1906 of the Enterprise File Fabric

The File Fabric has two main modes of operation with regard to knowing what files are on a storage provider: cached mode and real-time mode.  In cached mode the File Fabric maintains, in its database, metadata about each file on the underlying storage.  As files are created, updated and deleted, the changes flow through the File Fabric and the File Fabric updates its metadata accordingly.

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Posted on July 17, 2019

Ansible: Time series data in S3 API without HEADing metadata

In my previous article I detailed sending datasets to non-AWS S3 object storage.  While working on that project I ran into another issue with the aws_s3 ansible module.  The lack of a HEAD operation to pull metadata from a bucket or object.

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Posted on January 11, 2019September 30, 2020

An early look at the File Content Intelligence Feature for the File Fabric for Media

The Storage Made Easy engineering team is constantly working on strengthening the File Fabric product set and one of the features they are currently working on is the File Content Intelligence feature.

The video below takes a look at the File Content Intelligence feature, how it interacts with the File Fabric’s data automation rules and how it provides value to the Media and Entertainment industry.

There is further information on the File Fabric for Media here.

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Posted on April 19, 2018April 19, 2018

If data is the new oil then metadata is the refiner

Data, data everywhere….and then……what?

That is the issue with digital data. As digital data doubles very year it leads to vast quantities of unstructured data as employees create office documents, PDF’s, videos etc. Searching and classifying this data however presents a challenge particularly as the data within companies is spread across a multitude of on-cloud and on-premises systems and is simply not joined up.

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