Alation

JULY 28, 2022

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Cloudera

FEBRUARY 8, 2024

Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables. release and the matching CDW Private Cloud Data Services release, Hive also supports creating, using, and rebuilding materialized views for Iceberg table format.

Snapshot 89

Snapshot Metadata Cost-Benefit Data Warehouse 89

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi is an open table format that brings database and data warehouse capabilities to data lakes. Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance.

Data Lake 89

Data Lake Snapshot Metadata Optimization 89

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. To have a redundant data lake using Lake Formation and AWS Glue in an additional Region, we recommend replicating the Amazon S3-based storage using S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication process.

Data Architecture 64

Data Architecture Metadata Data Lake Snapshot 64

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

AWS Big Data

MAY 24, 2023

Load data into the Iceberg table While inserting the data, we partition the data by review_date as per the table definition. In that case, we have to query the table with the snapshot-id corresponding to the deleted row. We expire the old snapshots from the table and keep only the last two.

Data Lake 80

Data Lake Snapshot Metadata Optimization 80

Sisense

JANUARY 6, 2020

Analysts can use SQL as a more powerful tool than Salesforce to model messy sales data. By applying complex logic, you can more seamlessly build data models and gain fast, more advanced analysis. To achieve this, first requires getting the data into a form that delivers insights. Daily snapshot of opportunities – a summary.

Sales 91

Sales Forecasting Snapshot Management 91