Monte Carlo
MAY 14, 2024
At its core, a table format is a sophisticated metadata layer that defines, organizes, and interprets multiple underlying data files. For example, a single table named ‘Customers’ is actually an aggregation of metadata that manages and references several data files, ensuring that the table behaves as a cohesive unit.
Cloudera
FEBRUARY 8, 2024
It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. The snapshotId of the source tables involved in the materialized view are also maintained in the metadata.
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Cloudera
SEPTEMBER 15, 2022
It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. It removes the need to port data from an object store to a file system so analytics applications can read it. OBJECT_STORE Bucket (“OBS”).
Cloudera
JUNE 16, 2022
For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. Customers started to understand that to better serve their customers and maintain a competitive edge, they needed the analytics to be done in real time, not days or hours but within seconds or faster.
Rockset
JANUARY 23, 2024
Elasticsearch is an open-source search and analytics engine based on Apache Lucene. When building applications on change data capture (CDC) data using Elasticsearch, you’ll want to architect the system to handle frequent updates or modifications to the existing documents in an index. million on average.
Cloudera
SEPTEMBER 1, 2020
It is hard to believe if you have had previous experience with setting up, sizing, and deploying a distributed search engine service that this is possible. Imagine how many times IT has lost valuable time spending hours trying to understand Apache Solr application requirements and map them into how to best size and deploy the Solr service.
Cloudera
NOVEMBER 22, 2021
In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. That level of automation and simplicity enables data practitioners to stand up analytical environments in a self-service manner (i.e., CRM platforms).
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