AWS Big Data

MARCH 23, 2023

The Iceberg table keeps track of the snapshots. consumer_iceberg$snapshots" limit 10; We can observe that we have generated multiple snapshots. Use time travel to find the table snapshot. Time travel We have now changed the Iceberg table multiple times. Query the system table: SELECT * FROM "lf-demo-db"."consumer_iceberg$snapshots"

Interactive 97

Interactive Snapshot Data Lake Software 97

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 122

Data Lake Sales Data Warehouse Snapshot 122

Cloudera

JULY 9, 2019

But while cloud plays a significant role in infrastructure, storage, data capture, and data processing in today’s business environment, each organization needs to clearly define its business needs first. Data can reveal many things about your customers, including what they buy, what they think, and what they respond to.

Big Data 78

Big Data Management Snapshot Enterprise 78

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 111

Data Lake Data Processing Metadata Snapshot 111

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 114

Data Warehouse Visualization Snapshot Data-driven 114

AWS Big Data

FEBRUARY 1, 2023

We chose DynamoDB as our metadata store, which provides the latest details to the consumers to query the data effectively. Every dataset in our system is uniquely identified by snapshot ID, which we can search from our metadata store. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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 105

Data Warehouse Data-driven Snapshot Testing 105

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 119

Data Quality Visualization Metadata Metrics 119

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

AUGUST 1, 2024

The following figure shows a daily query volume snapshot (queries per day and queued queries per day, which waited a minimum of 5 seconds). He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture. Ram Bhandarkar is a Principal Data Architect at AWS based out of Northern Virginia.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

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 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

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 117

Optimization IT Big Data Data Processing 117

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 117

Machine Learning Metrics Big Data Management 117

Cloudera

DECEMBER 8, 2021

Organizations were evaluated based on their current use of data and analytics, parties championing the use of data and the extent to which data is used across processes, the presence of enterprise data strategies, and the extent to which capabilities relating to an Enterprise Data Cloud have been achieved. .

Data Strategy 82

Data Strategy Strategy Data-driven Snapshot 82

CIO Business Intelligence

APRIL 17, 2025

Moreover, 68% of vice presidents in charge of AI or data management already see their companies making decisions based on bad data all or most of the time, versus 47% of C-level IT leaders. Look at your data maturity in order to execute your roadmap, and then slowly improve upon it.

Data-driven 130

Data-driven Data Quality Snapshot Dashboards 130

CIO Business Intelligence

NOVEMBER 25, 2024

“The data migration requires a lot of functional involvement and validation — working around month-end and fiscal year-end processes have been a challenge when the functional teams are also working to fill open roles on their teams,” Neumeier says. She realized HGA needed a data strategy, a data warehouse, and a data analytics leader.

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131