Catherine Chiang

Catherine Chiang


Recent posts by Catherine Chiang

1 min read

Moving 5 Petabytes of Scientific Data

By Catherine Chiang on April 25, 2019

Remember the first image of a black hole? It took 5 petabytes of data for scientists to achieve that monumental discovery.

2 min read

Three Benefits of Backup as-a-Service (BaaS) for Managing Unstructured Data

By Catherine Chiang on March 27, 2019

Ah, managing backups: A necessary, but notoriously tedious task that most IT administrators would happily hand off to someone, anyone else. In today’s increasingly automated and machine-driven age, that someone else could be...software.

Topics: Backup and Archive
1 min read

Top 10 IT Trends for 2019

By Catherine Chiang on February 19, 2019

In 2019 and beyond, 451 Research sees a key shift in the world of IT—the breaking apart and coalescing of old silos of technology. Today, technological advances feed off each other to drive innovation. With this new paradigm of technological innovation, 451 Research shares 10 IT trends they predict for 2019.

Topics: Industry Trends
1 min read

PAIGE and Igneous Build Industry-Leading Compute Cluster for Healthcare AI

By Catherine Chiang on January 16, 2019

PAIGE’s mission to revolutionize the diagnosis and treatment of cancer through machine learning requires an extremely large dataset of high resolution slide images. To do so, they are building an industry-leading compute cluster for healthcare AI. The team needed to not only protect all of this unstructured data, but also programmatically move and process small subsets of the overall dataset on demand for high performance computations.

Topics: Igneous Solutions
1 min read

Announcing Enhanced Integrations with Amazon Web Services, Microsoft Azure, and Google Cloud Platform

By Catherine Chiang on November 14, 2018

Igneous has launched enhanced integrations with all three major public cloud storage providers. These strengthened integrations grant data-centric organizations even more flexibility and control in using Igneous' policy-driven cloud tiering and replication workflows. All cloud data management operations are fully managed through Igneous' Unstructured Data Management as-a-Service solution, minimizing operational costs for customers.

Topics: Cloud
4 min read

The Best ML, AI, and HPC Sessions to Attend at Supercomputing 2018

By Catherine Chiang on November 6, 2018

If your organization tackles machine learning, artificial intelligence, or high-performance computing applications, you’re also dealing with a ton of unstructured data. Here are the best sessions at Supercomputing 2018 that will provide industry expertise and insights to help you effectively manage your data and architect your infrastructure.

Supercomputing 2018 will be held in Dallas, TX, at the Kay Bailey Hutchison Convention Center. While you're at #SC18, be sure to stop by our booth #4244!

3 min read

5 Sessions Infrastructure and Operations Leaders Should Catch at Microsoft Ignite 2018

By Catherine Chiang on September 18, 2018

It’s that time of year again: Microsoft Ignite is a fantastic opportunity to explore innovative solutions and ideas for enterprise IT, infrastructure, and operations.

Topics: Microsoft Ignite 2018
3 min read

Structured Data vs Unstructured Data | Igneous

By Catherine Chiang on July 31, 2018

For most of IT history, the focus of data protection and management has been on structured data. This is what most of us find familiar when we conceptualize “data”: numbers, strings, in neat rows and columns.

However, as unstructured data growth outpaces that of structured data, posing new challenges for data management as well as exciting new opportunities, enterprises need to pivot their data management strategies to focus on their increasingly valuable unstructured data.

But let’s not get ahead of ourselves. First, let’s talk about the difference between structured and unstructured data.

Topics: Machine Learning
3 min read

5 Sessions You Shouldn’t Miss at Google Cloud Next 2018

By Catherine Chiang on July 17, 2018

Going to Google Cloud Next? We’ve rounded up the best sessions there to check out.

Topics: Google Cloud Next
3 min read

Backup vs. Archive: The Case for Incorporating Both in Your Data Management Strategy

By Catherine Chiang on July 10, 2018

We often talk about backup and archive as coupled processes, so much so that these two very different concepts may become conflated.

Topics: Backup and Archive
4 min read

How Do You Archive Data at Scale?

By Catherine Chiang on June 12, 2018

Archive, as a concept, seems simple enough: Offload your infrequently-accessed data to a secondary storage tier and save it until the one day you might need it.

Topics: Backup and Archive
1 min read

Let's Talk ML/AI at Big Data Toronto!

By Catherine Chiang on June 5, 2018

Team Igneous is headed to Big Data Toronto next week, June 12-13!

Topics: Igneous News Machine Learning
2 min read

Calling All Gophers! Can You Solve This Golang Riddle?

By Catherine Chiang on May 11, 2018

[This contest is now closed! View the winners here.]

Drumroll, please...we’re hosting our very first coding challenge!

Topics: Igneous Culture
8 min read

Archive First, Backup Should Be Boring, and Other Insights: A Conversation with Life Sciences Technologist Chris Dwan

By Catherine Chiang on April 24, 2018

Chris Dwan is a leading consultant and technologist specializing in scientific computing and data architecture for the life sciences. Previously, he directed the research computing team at the Broad Institute, and was the first technologist at the New York Genome Center.

Chris joined us for a conversation on data management challenges and trends in the life sciences. Read on to discover Chris’ insights from over a decade of experience in life sciences IT!

 

Topics: Igneous Solutions Life Sciences
2 min read

Data Management Trends: Machine Learning, Artificial Intelligence, and High Performance Computing in the Life Sciences Industry

By Catherine Chiang on April 10, 2018

Explosive data growth in the life sciences industry is nothing new; what’s truly exciting is how this data can be used!

Topics: Igneous Solutions Machine Learning
2 min read

Tomorrow’s Cars Need Modern Data Management Today

By Catherine Chiang on March 14, 2018

The Internet of Things is transforming industries across the board, and the automotive industry is no exception. From connected cars to autonomous vehicles, big changes in automotive technology are creating big data.

Topics: Igneous Solutions
3 min read

Backup: One Size Does Not Fit All Anymore

By Catherine Chiang on February 27, 2018

In the good old days when data was much smaller, having a single backup solution was ideal. However, as data has exploded, it has also generated new requirements that necessitate multiple solutions. 50% of enterprises surveyed for the 2017 Gartner Backup Magic Quadrant today deploy multiple backup solutions.

Topics: Backup and Archive Igneous Solutions
1 min read

4 Requirements of Modern Backup and Archive

By Catherine Chiang on February 20, 2018

As enterprise datasets grow at unprecedented rates, with the majority of it being unstructured data, requirements for modern backup and archive have expanded beyond the capabilities of legacy secondary storage systems.

Topics: Backup and Archive Igneous Solutions Igneous Technology
2 min read

4 Key Features of Modern Data Management for Media and Entertainment

By Catherine Chiang on February 6, 2018

The world of media and entertainment is drastically different from a decade ago. New technologies such as 8K video, virtual reality, and digital special effects are changing the way we produce and enjoy media. However, these changes also present huge data management challenges for media companies.

Topics: Igneous Solutions
2 min read

Data Growth Is Unpredictable — but Here's How You Can Plan for It

By Catherine Chiang on January 30, 2018

According to Gartner, 70% of organizations list managing data growth as their top concern. With data growing exponentially while legacy storage systems struggle to handle petabyte-scale data, it’s no easy feat for enterprise IT to balance modern data management needs with budgets that aren’t growing as quickly as their data.

Topics: Igneous Solutions Scale-out Architecture
2 min read

The Life Sciences Data Explosion: Further Reading

By Catherine Chiang on December 27, 2017

Thanks to recent advances in life sciences research technology, such as genome sequencing, electron microscopy, and flow cytometry, scientific research is generating unstructured data more quickly than IT can deal with the data growth.

Topics: Igneous Solutions
1 min read

Watch our Megacast presentation! (Demo)

By Catherine Chiang on December 11, 2017

We showcased Igneous’ backup and archive solutions at the Enterprise Storage Megacast on December 6th!

Topics: Igneous Solutions Megacast Demo
2 min read

Leverage Cloud Benefits in a Hybrid World with Zero-Touch Infrastructure™

By Catherine Chiang on November 21, 2017

The Igneous team is heading for AWS re:Invent next week, where we’re excited to catch the latest innovations in the cloud computing community. AWS has revolutionized the computing infrastructure market, delivering ease of management, scalability, and economics as-a-Service to enterprise data in cloud.

But what about your data on-premises?

Topics: Igneous Solutions Cloud AWS Re:Invent Zero-Touch Infrastructure
1 min read

New Feature: Increase Data Throughput with Network Data Compression

By Catherine Chiang on November 3, 2017

When moving large amounts of data between datacenters and/or public cloud, the amount of bandwidth in the datacenter often exceeds the bandwidth between datacenters, limiting throughput and speed of data movement.

To accommodate this bandwidth imbalance, Igneous recently released a new feature: network data compression, which enables customers using our Remote Service Router to compress data traversing their wide area network (WAN).

What does this mean for customers? Let’s break it down.

Topics: Igneous News Igneous Technology Compression Igneous Features
3 min read

Data Management: Why Does It Matter and Why Is It So Hard?

By Catherine Chiang on October 23, 2017

With enterprise datasets growing so quickly, it’s not just about storage anymore. Enterprises need effective data management strategies to harness the value of their data.

Topics: Industry Trends CrowdChat Data Management
3 min read

Why is Data Growth a Big Problem for Science?

By Catherine Chiang on October 17, 2017

Within recent years, developments in scientific research have enabled scientists to collect and generate far more data than ever beforebut the scientific industry’s ability to store, protect, and manage this data has not kept pace.

Topics: Industry Trends
3 min read

Top Data Backup and Archive News from Microsoft Ignite 2017

By Catherine Chiang on October 10, 2017

In September, we attended Microsoft Ignite in Orlando, Florida, a week-long conference exploring the future of technology and Microsoft’s latest innovations. We were excited to see Microsoft jumping into the backup and archive arena with their newest product launches!

Topics: Industry Trends Microsoft Ignite 2017 Ignite 2017 Backup and Archive Igneous News
4 min read

Growing Pains: Constraining Your Datacenter Footprint

By Catherine Chiang on October 2, 2017

As data continues to grow, enterprises struggle to find solutions for constraining their datacenter footprints and keeping costs down. While many enterprises are turning to colocation and cloud to offset their data storage demand, these options pose significant challenges.

Topics: Colocation Igneous Solutions Cloud
2 min read

Beyond Storage: CEO Kiran Chats with theCUBE

By Catherine Chiang on September 25, 2017

On September 14, 2017, our CEO Kiran Bhageshpur sat down with theCUBE for a #CubeConvo in their Palo Alto studio. For the first time, Kiran discussed Igneous’ full suite of services and features.

Topics: Igneous News Igneous Solutions
4 min read

Colo or Cloud: Choosing the Right Backup and Archive Solution

By Catherine Chiang on September 19, 2017

It’s critical for enterprises to build in offsite redundancy as part of their disaster recovery plans, as data loss can cost businesses hundreds of thousandseven millionsof dollars. Enterprises have three main avenues for achieving offsite redundancy: using a datacenter in another location, public cloud, and colocation (colo). For enterprises looking to reduce their own offsite datacenter footprint, public cloud and colo both pose viable options.

Topics: Backup and Archive Colocation Igneous Solutions Cloud

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