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Cloud data warehouse startup Firebolt closes $127M Series B funding round

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The cloud data warehouse startup, which is focused on application-oriented analytics over big data, will use the new funds for expansion of its product, engineering and go-to-market teams.

Huge Benefits Data Scalability Can Create for Your Business

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We recently pointed out that effective data management is the key to running a successful organization. You should recognize that big data is an asset that shouldn’t be discounted. The Merits of Big Data in Organizational Management While you will always need to rely on intuition to some extent when it comes to your business, having some numbers to back up your decisions can be beneficial in a number of different ways.

Firebolt raises $127M more for its new approach to cheaper and more efficient big data analytics

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Snowflake changed the conversation for many companies when it comes to the potentials of data warehousing. Now one of the startups that’s hoping to disrupt the disruptor is announcing a big round of funding to expand its own business. Firebolt, which has built a new kind of cloud data warehouse that promises much more efficient, and cheaper, analytics around whatever is stored within it, is announcing a major Series B of $127 million on the heels of huge demand for its services.

Acryl Data, commercializing LinkedIn’s metadata tool DataHub, emerges from stealth with $9M from 8VC, LinkedIn and Insight

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In 2019, LinkedIn’s engineering team announced DataHub, a metadata tool it had built to help it organise, search and discover insights from its vast data trove. In 2020, LinkedIn open sourced it. Now, a startup co-founded by one of the creators of DataHub and by a former senior engineer from Airbnb who helped build the latter company’s Dataportal, is coming out of stealth — backed by LinkedIn, among others — to usher the DataHub platform into its latest chapter: commercialization.

Clouds on the Horizon

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For a market that has been declared dead many times in the blogosphere over the past few years, the Manufacturing Execution Systems market has been pretty lively in 2020-21.  Much of the activity (as reported in this years Magic Quadrant) has been the crush of vendors rushing to embrace microservices, containerized applications and low-code/no-code development.  Specifically,  the 20% of our ~50 surveyed vendors with microservices on their roadmap in 2019 has ballooned to 75% in 2021.

Why Amazon should pay attention to Shein

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Amazon commands a vast, dominating empire in the world of e-commerce. While its marketplace has proved a boon for businesses trying to get off the ground, many of the more successful companies are now looking beyond the e-commerce giant’s fences, spurred by a desire to compete on their own terms. This trend has mushroomed as online shopping burgeoned over the past five years.

How much to pay yourself as a SaaS founder

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“If you’re the founder of a seed-stage [company and] you’re worried about your electricity staying on this month, then your salary is too low. If you’re saving $10,000/mo, then your salary is probably higher than necessary,” investor Leo Polovets wrote in a Twitter thread. Ultimately, a good test is to ask how you’ll feel if your startup fails: Will you wonder if your salary contributed to its fall?

More than words: Shedding light on the data terminology mess

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Data management, data governance, data observability, data fabric, data mesh, DataOps, MLOps, AIOps. It's a data terminology mess out there. Let's try and untangle it, because there's more to words than lingo.

Seagate intros Exos CORVAULT block storage system

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The hard-disk drive storage provider said the system is designed to streamline data management and reduce human intervention for macro edge and data center environments.

5 Ways Machine Learning is Changing the Way Businesses Operate

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Although machine learning is still in its infancy, it is developing at a breathtaking pace to improve the reach of artificial intelligence. Since this type of advanced technology is at the cutting edge of industrial innovation, many large companies invest heavily in artificial intelligence and machine learning research. These tech giants are learning how to improve these technologies and simultaneously trying to figure out various implementations for them going forward.
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