AWS Big Data

AUGUST 1, 2024

Effective planning, thorough risk assessment, and a well-designed migration strategy are crucial to mitigating these challenges and implementing a successful transition to the new data warehouse environment on Amazon Redshift. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 97

Data Warehouse KPI Optimization Cost-Benefit 97

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. Table data storage mode – There are two options: Historical – This table in the data lake stores historical updates to records (always append).

Data Lake 101

Data Lake Data Processing Metadata Snapshot 101

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 Expiring old snapshots – This operation provides a way to remove outdated snapshots and their associated data files, enabling Orca to maintain low storage costs.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 93

Data Lake Analytics Snapshot Data Quality 93

AWS Big Data

AUGUST 2, 2023

The data architecture diagram below shows an example of how you could use AWS services to calculate and visualize an organization’s estimated carbon footprint. Customers have the flexibility to choose the services in each stage of the data pipeline based on their use case.

Data Lake 79

Data Lake Measurement Visualization Data Architecture 79

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-driven Data Governance 69

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Iceberg offers a Merge On Read strategy to enable fast writes.

Data Lake 123

Data Lake Metadata Statistics Optimization 123

AWS Big Data

MARCH 28, 2023

This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. Over the years, he has helped multiple customers on data platform transformations across industry verticals. His core area of expertise include Technology Strategy, Data Analytics, and Data Science.

Data Lake 79

Data Lake Testing Snapshot Sales 79

AWS Big Data

OCTOBER 18, 2023

Deselect Create final snapshot. He is deeply passionate about Data Architecture and helps customers build analytics solutions at scale on AWS. She has helped many customers build large-scale data warehouse solutions in the cloud and on premises. Select Delete the associated namespace.

Analytics 105

Analytics Data Warehouse Dashboards Testing 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 90

Optimization IT Big Data Data Processing 90

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. As mentioned previously, data was partitioned by day and most queries ran on a specific time range.

Data Lake 120

Data Lake Metadata Snapshot Analytics 120

AWS Big Data

MARCH 3, 2023

We use an example use case where the EMR Serverless job runs every hour, and the input data folder is partitioned on an hourly basis from AWS DMS. You can choose an appropriate partitioning strategy on the S3 raw bucket for your use case. For more information, refer to Creating external tables for data managed in Delta Lake.

Data Lake 90

Data Lake Dashboards Metrics Metadata 90