2016 Data Engineering Scalability 
O'Reilly Media - Data
MARCH 22, 2018
A better interpretation might be needed to identify the blind spots in the algorithms to build a secure and safe model by fixing the training data set prone to adversarial attacks (for further reading, see Moosavi-Dezfooli, et al., 2016, DeepFool and Goodfellow, et al., Lipton, 2016. General data protection regulation, 2016.
Kentik
MAY 2, 2016
In part 1 of this series we introduced Kentik Data Engine™, the backend to Kentik Detect™, which is a large-scale distributed datastore that is optimized for querying IP flow records (NetFlow v5/9, sFlow, IPFIX) and related network data (GeoIP, BGP, SNMP). SELECT 168. Time: 0.430s. Time: 1.293s.
Honeycomb
APRIL 23, 2025
When we started building Honeycomb in 2016, we built our own columnar storage engine out of necessity. Sure, its not that hard to spin up and benevolently ignore an ELK stack but if your reliability, scalability, or availability needs are world-class, thats not good enough. These are, after all, data problems.
AWS Machine Learning - AI
JUNE 18, 2024
The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion. The objective is to automate data integration from various sensor manufacturers for Accra, Ghana, paving the way for scalability across West Africa.
d2iq
FEBRUARY 19, 2021
Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.
Openxcell
JANUARY 3, 2025
The company offers a wide range of AI Development services, such as Generative AI services, Custom LLM development , AI App Development , Data Engineering , GPT Integration , and more. Over the last 15+ years, the company has worked with small to big businesses and startups worldwide and delivered scalable and reliable solutions.
Altexsoft
OCTOBER 24, 2019
What is an Enterprise Data Warehouse? If you know how much terabyte is, you’d probably be impressed by the fact that Netflix had about 44 terabytes of data in their warehouse back in 2016. And this is what makes a data warehouse different from a Data Lake. Subject-oriented data. IBM Db2 / Pricing page.
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