AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

AWS Big Data

FEBRUARY 9, 2023

With scheduled flows, you can choose either full or incremental data transfer: With full transfer, Amazon AppFlow transfers a snapshot of all records at the time of the flow run from the source to the destination. For Connection name , enter a name of your choice (for example, Salesforce-blog ). Choose Create connection.

Data Warehouse 74

Data Warehouse Data-driven Snapshot Testing 74

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 1: Multi-function analytics . 1: Multi-function analytics . Financial regulation.

Metadata 88

Metadata Data Architecture Machine Learning Cost-Benefit 88

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

Unstructured Data 72

Unstructured Data Data Architecture Data Lake Snapshot 72

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Expiring old snapshots – This operation provides a way to remove outdated snapshots and their associated data files, enabling Orca to maintain low storage costs.

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

Alation

JULY 28, 2022

What Are the Biggest Drivers of Cloud Data Warehousing? It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. There are tools to replicate and snapshot data, plus tools to scale and improve performance.”

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

DataKitchen

JANUARY 23, 2023

To capture a more complete picture of the data’s journey, it is important to have a DataOps Observability system in place. Data lineage is static and often lags by weeks or months. Data lineage is often considered static because it is typically based on snapshots of data and metadata taken at a specific time.

Testing 130

Testing Data Governance Data Quality Data-driven 130