AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. Take note of this role’s ARN to use later in the steps.

Data Lake 88

Data Lake Data Warehouse Marketing Management 88

CIO Business Intelligence

SEPTEMBER 21, 2023

The world has flipped since 2022,” says David McCurdy, chief enterprise architect and CTO at Insight. To make all this possible, the data had to be collected, processed, and fed into the systems that needed it in a reliable, efficient, scalable, and secure way. Then gen AI came out.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Cloudera

NOVEMBER 17, 2022

The Solution: CDP Private Cloud brings a next-generation hybrid architecture with cloud-native benefits to HBL’s data platform. HBL started their data journey in 2019 when data lake initiative was started to consolidate complex data sources and enable the bank to use single version of truth for decision making.

Management 82

Management Data Lake Consulting Unstructured Data 82

Cloudera

JUNE 30, 2022

In February 2022, we introduced Apache Iceberg as a technical preview within CDP. Over the past decade, Cloudera has enabled multi-function analytics on data lakes through the introduction of the Hive table format and Hive ACID. We selected change data capture as our first use case on Iceberg.

Data Lake 83

Data Lake Data Architecture Metadata Data Warehouse 83

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 83

Management Metadata Data Architecture Data Lake 83

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. For Type , choose Spark.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85

AWS Big Data

APRIL 20, 2023

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. AWS Glue provides an extensible architecture that enables users with different data processing use cases, and works well with Amazon Redshift.

Visualization 80

Visualization Data Warehouse Big Data Data Lake 80