Towards Data Science
MAY 11, 2023
Benefit #2: “ Flexible data model” — Yehonathan Sharvit “When using generic data structures, data can be created with no predefined shape, and its shape can be modified at will.” — Yehonathan Sharvit In the example below, not all the dictionaries in the list have the same keys.
Snowflake
MAY 23, 2024
Processing complex, schema-less, semistructured, hierarchical data can be extremely time-consuming, costly and error-prone, particularly if the data source has polymorphic attributes. For many data sources, the schema of the data source can change without warning.
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Netflix Tech
DECEMBER 14, 2018
data access semantics that guarantee repeatable data read behavior for client applications. System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g., key value stores generally allow storing any data under a key).
Cloudera
JULY 26, 2021
Auditabily: Data security and compliance constituents need to understand how data changes, where it originates from and how data consumers interact with it. a technology choice such as Spark Streaming is overly focused on throughput at the expense of latency) or data formats (e.g.,
Striim
SEPTEMBER 11, 2024
In an ETL-based architecture, data is first extracted from source systems, then transformed into a structured format, and finally loaded into data stores, typically data warehouses. This method is advantageous when dealing with structured data that requires pre-processing before storage.
Confluent
JUNE 13, 2019
For alert rates of millions per night, scientists need a more structured data format for automated analysis pipelines. After researching formats—and reading about Confluent’s suggestion of using Avro with Kafka —we settled on using Avro, an open source, JSON-based binary format, for serializing the data in the alert messages.
Netflix Tech
OCTOBER 27, 2020
As the paved path for moving data to key-value stores, Bulldozer provides a scalable and efficient no-code solution. Users only need to specify the data source and the destination cluster information in a YAML file. Bulldozer provides the functionality to auto-generate the data schema which is defined in a protobuf file.
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