Case Study Data Engineering Storage 
O'Reilly Media - Data
APRIL 3, 2018
Data Science and Machine Learning sessions will cover tools, techniques, and case studies. This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Data platforms. Telecom sessions.
Altexsoft
DECEMBER 9, 2020
Some other common methods of gathering data include observation, case studies, surveys, etc. Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Altexsoft
MARCH 31, 2020
It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. And, as is common, to transform it before loading to another storage system. But how do you move data? The simplest illustration for a data pipeline.
Cloudera
AUGUST 31, 2021
While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.
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.
Netflix Tech
NOVEMBER 22, 2019
4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.
Perficient
APRIL 1, 2024
Traditionally, organizations used to provision multiple services of Azure Services, like Azure Storage, Azure Databricks, etc. Case Study A private equity organization wants to have a close eye on equity stocks it has invested in for their clients. Fabric brings all the required services into a single platform.
Expert insights. Personalized for you.
236 
Let's personalize your content