AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

AWS Big Data

MARCH 6, 2025

Tens of thousands of customers use Amazon Redshift for modern data analytics at scale, delivering up to three times better price-performance and seven times better throughput than other cloud data warehouses. About the Authors Songzhi Liu is a Principal Big Data Architect with the AWS Identity Solutions team.

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Visualization Sales Data Warehouse Management 82

AWS Big Data

JUNE 10, 2024

One of the key challenges in modern big data management is facilitating efficient data sharing and access control across multiple EMR clusters. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. The producer account will host the EMR cluster and S3 buckets.

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Data Lake Metadata Data Warehouse Data Processing 96

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads.

Analytics 107

Analytics Data Warehouse Dashboards Testing 107

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

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Data Lake Data Warehouse Data-driven B2B 103

AWS Big Data

SEPTEMBER 5, 2024

The currently available choices include: The Amazon Redshift COPY command can load data from Amazon Simple Storage Service (Amazon S3), Amazon EMR , Amazon DynamoDB , or remote hosts over SSH. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.

IoT 106

IoT Data Warehouse Cost-Benefit Reporting 106

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 87

Data Processing IoT Data Warehouse Cost-Benefit 87

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Technology cost reduction / avoidance. AWS, Google or Azure) and thus allow for execution of a use case wherever it is most costs effective to do so.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

AWS Big Data

FEBRUARY 27, 2024

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. This enables data-driven decision-making across the organization. AWS Glue – Bluestone used the AWS Glue PySpark environment for implementing data extract, transform, and load (ETL) processes.

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Data-driven Data Lake Data Quality Data Governance 106

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. Data can be organized into three different zones, as shown in the following figure.

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Data Lake Sales Data Warehouse Snapshot 116

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

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Data Lake Analytics Dashboards Metrics 124

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. The following screenshot shows an example C360 dashboard built on QuickSight.

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Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

AWS Big Data

MARCH 3, 2023

The Delta tables created by the EMR Serverless application are exposed through the AWS Glue Data Catalog and can be queried through Amazon Athena. Solution overview The following diagram shows the overall architecture of the solution that we implement in this post. Monjumi Sarma is a Data Lab Solutions Architect at AWS.

Data Lake 90

Data Lake Dashboards Metrics Metadata 90

Jet Global

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Data Environment First off, the solutions you consider should be compatible with your current data architecture.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

OCTOBER 30, 2024

This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer. His focus areas are MLOps, feature stores, data lakes, model hosting, and generative AI.

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Data Lake Machine Learning Data Architecture Data-driven 72