Striim

SEPTEMBER 11, 2024

Furthermore, Striim also supports real-time data replication and real-time analytics, which are both crucial for your organization to maintain up-to-date insights. By efficiently handling data ingestion, this component sets the stage for effective data processing and analysis.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

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.

Data Pipeline 105

Data Pipeline Raw Data Data Schemas Technology 105

Confluent

JUNE 13, 2019

The data processing pipeline characterizes these objects, deriving key parameters such as brightness, color, ellipticity, and coordinate location, and broadcasts this information in alert packets. For alert rates of millions per night, scientists need a more structured data format for automated analysis pipelines.

Kafka 102

Kafka Bytes Python Data Pipeline 102

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. And by leveraging distributed storage and open-source technologies, they offer a cost-effective solution for handling large data volumes.

Data Management 52

Data Management Management Data Lake Data Governance 52

Towards Data Science

FEBRUARY 15, 2023

Before going into further details on Delta Lake, we need to remember the concept of Data Lake, so let’s travel through some history. Delta Lake also refuses writes with wrongly formatted data (schema enforcement) and allows for schema evolution. Spark: The definitive guide: Big data processing made simple.

Data Lake 98

Data Lake Data Warehouse Hadoop Architecture 98