AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions. Snowflake can query across Iceberg and Snowflake table formats.

Data Lake 94

Data Lake Snapshot Metadata Data Architecture 94

Cloudera

OCTOBER 11, 2022

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. Because with AI at scale – “it’s the data.”.

Snapshot 94

Snapshot Data Science Digital Transformation Metadata 94

Cloudera

DECEMBER 21, 2021

Today it’s used by many innovative technology companies at petabyte scale, allowing them to easily evolve schemas, create snapshots for time travel style queries, and perform row level updates and deletes for ACID compliance. Modernizing pipelines. Figure 3: CDE Pipeline authoring UI. Happy New Year.

Snapshot 118

Snapshot Data-driven Optimization Management 118

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Name this new job hudi-data-ingestion. The data source is configured.

Data Lake 112

Data Lake Data Warehouse Visualization Snapshot 112

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Clustering data for better data colocation using z-ordering.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

AWS Big Data

MARCH 3, 2023

We use an example use case where the EMR Serverless job runs every hour, and the input data folder is partitioned on an hourly basis from AWS DMS. For more information, refer to Creating external tables for data managed in Delta Lake. A Delta table manifest contains a list of files that make up a consistent snapshot of the Delta table.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83