United States
I help B2B cloud and software vendors tell interesting, technically-credible stories that educate and attract customers.
As a former technology journalist (ZDNet, Computerworld, Reuters, South China Morning Post) for 15+ years, I bring deep expertise from the enterprise IT space.
I have also worked in-house, including as a content marketing director for 5 years. So I understand the marketing needs of enterprise vendors, as well as their processes.
My forte is blogging, particularly thought leadership. Some of my pieces have generated half a million views and 1000+ comments.
I have also edited and written more than 20 ebooks, as well as numerous customer case studies, whitepapers, infographics, presentations, web pages, lead-generation emails, video scripts, and more.
My clients range from Fortune 100 to startups, and include: FileInvite (financial services cloud) Rockset (cloud analytics), Acceldata (cloud data management), Cloudticity (healthcare cloud), Egnyte (cloud content management), Samsung (enterprise mobility), Oracle Communications (networking), Imperva (cybersecurity), Pinterest (online advertising), and Rogue Wave Software (DevOps).
Contact me at [email protected]
Your customers' personally identifiable information (PII) and personally identifiable financial information (PIFI) is enormously valuable, which is why it is under constant threat. According to the website Privacy Affairs, credit card account details sell for an average of $120 on the Dark Web, while a scanned U.S. driver's license is worth $150.
Streaming data has become a requirement for enterprises to build and operate great data products, and Apache Kafka is far and away the standard for real-time streaming. While adopting Kafka is becoming essential, data teams have several options when it comes to how to deploy Kafka.
The Rubik's Cube was invented in 1974, the same year that IBM released the first relational database. The similarities don't end there. Since its original rise in the 1980s, the Rubik's Cube has become the world's most-popular puzzle toy. More than 400 million Rubik's Cubes have been sold in the last four decades.
Sending sensitive documents via email is familiar and convenient. However, convenience has many downsides, with the biggest being poor data security. If your staff still rely on emailing sensitive information and unencrypted documents, including those containing your customers' PII and PIFI (Personally Identifiable Financial Information), then you are taking huge risks.
This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics . We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them!
Of all the pieces of today's modern data stack, none has risen to prominence as fast as the cloud data platform, Snowflake. While part of the wave of multi-tenant cloud databases that also include Databricks, Amazon Redshift, and Google BigQuery, Snowflake has been able to stand out with a particularly developer-winning formula of easy startup costs, low ops, and instant, near-infinite scalability.
I had the pleasure of recently hosting a data engineering expert discussion on a topic that I know many of you are wrestling with - when to deploy batch or streaming data in your organization's data stack.
When the Fitbit debuted in 2009, skeptics dismissed it as a glorified and not particularly accurate step counter. Thirteen years later, the Fitbit is recognized as one of the creators of the modern data-infused wellness culture, with the now-Google subsidiary credited with leveraging the power of statistics and positive feedback to promote healthier lifestyles for countless individuals.
It's never been harder to be a Chief Data Officer. On the one hand, demand for CDOs is higher than ever, with more than two-thirds of enterprises appointing a CDO, up from less than one in eight in 2012. On the other hand, job security is lacking, with the average CDO lasting just 2.5 years.
A guide for data engineers and chief data officers.