AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Cloudera

JULY 9, 2019

Here are four of the top pain points that businesses are experiencing with data management—and how to overcome them: 1. Not allowing business needs to drive data and cloud strategy. With big data, often the cart is put before the horse. For example, some businesses tout “cloud first” as a solution.

Big Data 78

Big Data Management Snapshot Enterprise 78

Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Governance and Data Strategy. In other words, leaders are prioritizing data democratization to ensure people have access to the data they need.

Metadata 64

Metadata Data Governance Dashboards Software 64

AWS Big Data

SEPTEMBER 13, 2023

Table configuration – This includes the Hudi configuration (primary key, partition key, pre-combined key, and table type ( Copy on Write or Merge on Read )), table data storage mode (historical or current snapshot), S3 bucket used to store source-aligned datasets, AWS Glue database name, AWS Glue table name, and refresh cadence.

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

AWS Big Data

MARCH 28, 2024

The following code provides a snapshot of our cluster configuration: Concurrent steps:10 EMR Managed Scaling: minimumCapacityUnits: 64 maximumCapacityUnits: 512 maximumOnDemandCapacityUnits: 512 maximumCoreCapacityUnits: 512 Master Instance Fleet: r6g.xlarge - 4 vCore, 30.5 GB with a p99 of 491 seconds (approximately 8 minutes).

Optimization 81

Optimization IT Big Data Data Processing 81

AWS Big Data

MARCH 18, 2024

Namespaces group together all of the resources you use in Redshift Serverless, such as schemas, tables, users, datashares, and snapshots. Create a Redshift Serverless workgroup There are two primary components of the Redshift Serverless architecture: Namespace – A collection of database objects and users.

Data Warehouse 83

Data Warehouse Visualization Snapshot Data-driven 83

AWS Big Data

APRIL 3, 2024

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. Furthermore, we delved into the seamless integration between Amazon DataZone and AWS Glue Data Quality. To learn more about Amazon DataZone, refer to the Amazon DataZone User Guide.

Data Quality 91

Data Quality Visualization Metadata Metrics 91

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. Amit Shah is a cloud based modern data architecture expert and currently leading AWS Data Analytics practice in Atos.

Data Warehouse 78

Data Warehouse Data-driven Snapshot Testing 78

AWS Big Data

MAY 19, 2023

Orchestrating the run of and managing dependencies between these components is a key capability in a data strategy. Amazon Managed Workflows for Apache Airflows (Amazon MWAA) orchestrates data pipelines using distributed technologies including on-premises resources, AWS services, and third-party components.

Machine Learning 84

Machine Learning Metrics Big Data Management 84

AWS Big Data

JUNE 21, 2023

A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis. A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale.

Data Warehouse 82

Data Warehouse Data Lake OLAP Cost-Benefit 82