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. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data. Why did Orca choose Apache Iceberg?

Data Lake 94

Data Lake Analytics Snapshot Data Quality 94

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 116

Data Lake Sales Data Warehouse Snapshot 116

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 116

Data Lake Metadata Snapshot Recreation/Entertainment 116

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. Clustering data for better data colocation using z-ordering.

Data Lake 125

Data Lake Metadata Statistics Optimization 125

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. State snapshot in Amazon S3 – You can store the state snapshot in Amazon S3 for tracking.

Analytics 124

Analytics IoT Data-driven Snapshot 124

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. The original source file 2022.csv He works based in Tokyo, Japan.

Data Lake 122

Data Lake Data Warehouse Visualization Snapshot 122

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 104

Data Lake Data Processing Metadata Snapshot 104

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow. The following figure shows a daily usage KPI.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

AWS Big Data

SEPTEMBER 13, 2024

Suvojit Dasgupta is a Principal Data Architect at Amazon Web Services. He leads a team of skilled engineers in designing and building scalable data solutions for AWS customers. He specializes in developing and implementing innovative data architectures to address complex business challenges.

Management 104

Management Snapshot Cost-Benefit Testing 104

AWS Big Data

JUNE 12, 2024

He has over 20 years of experience in software engineering, software architecture, and cloud architecture. He has over 25 years of experience in Enterprise data architecture, databases and data warehousing. outputs: - Name: ClusterStatus Selector: '$.Clusters[0].ClusterStatus' Clusters[0].ClusterStatus'

Data-driven 105

Data-driven Snapshot Optimization Management 105

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 81

Data Lake Testing Snapshot Big Data 81

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

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. Data streaming enables you to ingest data from a variety of databases across various systems.

Data Lake 105

Data Lake Unstructured Data Management Snapshot 105

AWS Big Data

OCTOBER 18, 2023

Modern analytics is much wider than SQL-based data warehousing. With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more.

Analytics 107

Analytics Data Warehouse Dashboards Testing 107

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. He focuses on modern data architectures and helping customers accelerate their cloud journey with serverless technologies.

Data Quality 104

Data Quality Visualization Metadata Metrics 104

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. He’s on a mission to make life easier for customers who are facing complex data integration challenges.

Data Warehouse 87

Data Warehouse Data-driven Snapshot Testing 87

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 91

Data Lake Dashboards Metrics Metadata 91

AWS Big Data

MARCH 28, 2024

Amazon EMR stands as a dynamic force in the cloud, delivering unmatched capabilities for organizations seeking robust big data solutions. Its seamless integration, powerful features, and adaptability make it an indispensable tool for navigating the complexities of data analytics and ML on AWS.

Optimization 93

Optimization IT Big Data Data Processing 93

AWS Big Data

DECEMBER 20, 2024

The following maintenance tasks are supported by the framework: Expire snapshots Snapshots can be used for rollback operations as well as time traveling queries. Its highly recommended to regularly expire snapshots that are no longer needed. Remove old metadata files Metadata files can accumulate over time just like snapshots.

Metadata 112

Metadata Data-driven Snapshot Data Lake 112

Cloudera

DECEMBER 3, 2024

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments.

Metadata 84

Metadata Data Warehouse ROI Snapshot 84