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Tonic is betting that synthetic data is the new big data to solve scalability and security

TechCrunch

Big data is a sham. There is just one problem with big data though: it’s honking huge. Processing petabytes of data to generate business insights is expensive and time consuming. Processing petabytes of data to generate business insights is expensive and time consuming. What should a company do?

Big Data 267
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Firebolt, a data warehouse startup, raises $100M at a $1.4B valuation for faster, cheaper analytics on large data sets

TechCrunch

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Another sign of its growth is a big hire that the company is making. billion valuation.

Analytics 218
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Big Data Realtime Data Pipeline Architecture

Dzone - DevOps

Big data has become increasingly important in today's data-driven world. It refers to the massive amount of structured and unstructured data that is too large to be handled by traditional database systems. To efficiently process and analyze this vast amount of data, organizations need a robust and scalable architecture.

Big Data 101
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Migrating to cloud: solving the big data problem

CTOvision

Read Alberto Pan’s article about how to solve the big data problem by migrating to cloud on Information Age : For many organizations, cloud computing is now a fact of life. Over the years, it’s established a reputation as the key to achieving maximum agility, flexibility, and scalability.

Big Data 108
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Comparing production-grade NLP libraries: Accuracy, performance, and scalability

O'Reilly Media - Data

In the previous two parts, we walked through the code for training tokenization and part-of-speech models, running them on a benchmark data set, and evaluating the results. spaCy’s self-trained model and Spark-NLP perform similarly when trained using the same training data, at about 84% accuracy. Training scalability.

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Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

These devices are used to collect tons of various health and fitness-related data, such as daily activity, pulse, temperature, sleep patterns, and so on, all that in real time. But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? Let’s see where it can come from.

Big Data 116
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Bedrock modernizes seafloor mapping with autonomous sub and cloud-based data

TechCrunch

Fortunately Bedrock is here to drag that mapping process into the 21st century with its autonomous underwater vehicle and modern cloud-based data service. “We believe we’re the first cloud-native platform for seafloor data,” said Anthony DiMare, CEO and cofounder (with CTO Charlie Chiau) of Bedrock.