Data technology capital raising
GA’s Data Science Immersive touches on many of the technologies fueling the burgeoning data-tech capital raising environment.
Investment dollars are pouring into data technology companies that deploy solutions to modernize outdated tech architectures. As a fellow in General Assembly’s Data Science Immersive, I’ve learned about some of the underlying technologies driving the data-tech boom.
Instructors in my class touch on a wide variety of topics (Lead Instructor Jeff Hale’s Medium Blog for a taste) and today we delved into some areas of database management that prompted me to write this post.
Multinational, multi-departmental enterprises with outdated tech architectures need solutions to integrate and eventually replace legacy data infrastructure.
ETL is an acronym for “Extract, Transform, Load” and as large enterprises continue to produce and collect massive amounts of information, the need to merge and integrate legacy and real-time data is critical.
A lot of cool things are happening in the ETL space right now as evidenced by recent takeover and capital raising activity. Twilio’s (TWLO) acquisition of data company Segment for $3.2 Billion this month is just one example of the demand for technology companies in the space.
In data-warehousing, Snowflake had closed on $1.4 Billion in VC funding over 8 rounds before making headlines with one of the biggest software IPOs in history, raising an additional $3.4 Billion at an eye-popping valuation of $33 Billion, and attracting investors like Berkshire Hathaway and CVC Salesforce Ventures.
Data pipeline company Confluent takes on the outdated tradeoff between having “real-time” versus “highly scaleable” enterprise data infrastructure and raised $450 Million at peak pandemic uncertainty. Other data prep companies like Fivetran and Databricks are focusing on taking the onus off bloated tech departments by streamlining the data syncing process and prepping enterprises for “agile analytics.”
The prestigious Gartner Magic Quadrants point to which companies are at the forefront of technology innovation. A quick look below shows less incumbent tech giant names and more new, thriving startups.
For more on the Magic Quadrants https://en.wikipedia.org/wiki/Magic_Quadrant
These are some of the companies empowering the next generation of management to make more impactful, real-time, business decisions.
As traditional industries streamline their data needs and move forward with modernizing their outdated architectures, capital activity will continue to burgeon in data related tech.
