AWS Big Data

APRIL 3, 2024

As data becomes increasingly crucial for driving business decisions, Amazon DataZone users are keenly interested in providing the highest standards of data quality. They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

AWS Big Data

JANUARY 24, 2023

Data migration must be performed separately using methods such as S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication. This utility has two modes for replicating Lake Formation and Data Catalog metadata: on-demand and real-time. He is a Bigdata enthusiast and holds 13 AWS Certifications.

Data Architecture 66

Data Architecture Metadata Data Lake Snapshot 66

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. Kamen Sharlandjiev is an Analytics Specialist Solutions Architect and Amazon AppFlow expert. His secret weapon?

Data Warehouse 76

Data Warehouse Data-driven Snapshot Testing 76

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 96

Analytics Data Warehouse Testing Dashboards 96

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals

Snapshot 109

Snapshot Metadata Cost-Benefit Data Architecture 109

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. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

Cloudera

MARCH 23, 2022

Let’s highlight some of those benefits, and why choosing CDP and Iceberg can future proof your next generation data architecture. . Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1:

Metadata 91

Metadata Data Architecture Machine Learning Cost-Benefit 91

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. The following diagram represents a generic data lake architecture.

Data Lake 90

Data Lake Data Processing Metadata Snapshot 90

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric. Better together.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 71

Data Lake Measurement Visualization Data Architecture 71

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.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

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. Vijay Velpula is a Data Architect with AWS Professional Services. He helps customers implement Big Data and Analytics Solutions.

Data Lake 70

Data Lake Testing Snapshot Sales 70

Alation

JULY 28, 2022

There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. What Are the Biggest Drivers of Cloud Data Warehousing? There are tools to replicate and snapshot data, plus tools to scale and improve performance.”

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

AWS Big Data

JUNE 12, 2024

It also provides a single sign-on (SSO) experience for Redshift features and other analytics services such as Amazon Redshift Query Editor V2 (see Integrate Identity Provider (IdP) with Amazon Redshift Query Editor V2 using AWS IAM Identity Center for seamless Single Sign-On ), QuickSight, and AWS Lake Formation. Clusters[0].ClusterStatus'

Data-driven 90

Data-driven Snapshot Optimization Management 90

AWS Big Data

MARCH 28, 2024

With these frameworks and related open-source projects, you can process data for analytics purposes and BI workloads. Amazon EMR lets you transform and move large amounts of data in and out of other AWS data stores and databases, such as Amazon S3 and Amazon DynamoDB.

Optimization 80

Optimization IT Big Data Data Processing 80

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue.

Data Lake 108

Data Lake Metadata Snapshot Analytics 108

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83

DataKitchen

AUGUST 8, 2023

In the article, Melody Chien notes that Data Observability is a practice that extends beyond traditional monitoring and detection, providing robust, integrated visibility over data and data landscapes. It alerts data and analytics leaders to issues with their data before they multiply. When did it last run?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

DataKitchen

JANUARY 23, 2023

To capture a more complete picture of the data’s journey, it is important to have a DataOps Observability system in place. Data lineage is static and often lags by weeks or months. Data lineage is often considered static because it is typically based on snapshots of data and metadata taken at a specific time.

Testing 130

Testing Data Governance Data Quality Data-driven 130