Accessibility Aggregated Data Events Metadata 
LinkedIn Engineering
DECEMBER 19, 2023
Our RU framework ensures that our big data infrastructure, which consists of over 55,000 hosts and 20 clusters holding exabytes of data, is deployed and updated smoothly by minimizing downtime and avoiding performance degradation. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes.
ProjectPro
FEBRUARY 8, 2023
Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.
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Cloudera
JUNE 29, 2023
Incorporate data from novel sources — social media feeds, alternative credit histories (utility and rental payments), geo-spatial systems, and IoT streams — into liquidity risk models. Use cases include: Enable transparent access to financial data. Possible applications include: Improved customer risk profiling.
Picnic Engineering
SEPTEMBER 8, 2022
Quick re-cap: the purpose of the internal pipeline is to deliver data from dozens of Picnic back-end services such as warehousing, machine learning models, customers and order status updates. The data is loaded into Snowflake, Picnic’s single source of truth Data Warehouse (DWH). Yet, some messages are destined for the DWH only.
Cloudera
NOVEMBER 13, 2020
The reality is that data warehousing contains a large variety of queries both small and large; there are many circumstances where Impala queries small amounts of data; when end users are iterating on a use case, filtering down to a specific time window, working with dimension tables, or pre-aggregated data.
AltexSoft
DECEMBER 23, 2022
In ELT, raw data is loaded into the destination, and then it receives transformations when it’s needed. Organizations now operate huge amounts of various data stored in multiple systems. ELT makes it easier to manage and access all this information by allowing both raw and cleaned data to be loaded and stored for further analysis.
ProjectPro
NOVEMBER 15, 2021
When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. It serves as a distributed processing engine for both categories of data streams: unbounded and bounded.
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