AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

JANUARY 12, 2024

Before data records land on Amazon S3, we implement an ingestion layer to bring all data streams reliably and securely to the data lake. Kinesis Data Streams is deployed as an ingestion layer for accelerated intake of structured and semi-structured data streams.

Data Lake 119

Data Lake Cost-Benefit Visualization Structured Data 119

AWS Big Data

MARCH 25, 2024

To learn more about RAG, refer to Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart. A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

AWS Big Data

OCTOBER 1, 2024

Amazon Redshift enables you to efficiently query and retrieve structured and semi-structured data from open format files in Amazon S3 data lake without having to load the data into Amazon Redshift tables. Amazon Redshift extends SQL capabilities to your data lake, enabling you to run analytical queries.

Data Lake 115

Data Lake Statistics Broadcasting Optimization 115

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 117

Data-driven Advertising Metadata Data Architecture 117

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CDW Research Hub

OCTOBER 12, 2021

Business leaders need to quickly access data—and to trust the accuracy of that data—to make better decisions. As organizations grow and evolve, many find a need for more sophisticated analytics across an ever-increasing amount of digital and consumer data. Unreliable Data as a Service (DaaS) implementations.

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

Ontotext

JULY 26, 2019

Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity. Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning.

Technology 75

Technology Enterprise Data Integration Structured Data 75

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Key considerations Gameskraft embraces a modern data architecture, with the data lake residing in Amazon S3.

Data Warehouse 111

Data Warehouse Analytics Data Lake Data Science 111

AWS Big Data

MARCH 28, 2023

Conclusion In this post, we demonstrated how to identify the changed data for a semi-structured data source and preserve the historical changes (SCD Type 2) on an S3 Delta Lake, when source systems are unable to provide the change data capture capability, with AWS Glue.

Data Lake 101

Data Lake Testing Snapshot Big Data 101

AWS Big Data

MARCH 26, 2024

It is prudent to consolidate this data into a single customer view, serving as a primary reference for downstream applications, ranging from ecommerce platforms to CRM systems. This consolidated view acts as a liaison between the data platform and customer-centric applications.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

Ontotext

JANUARY 10, 2024

This will allow enterprises to derive insights from their disparate databases, integrate external knowledge for better interpretation of their data, and incorporate information extracted from unstructured content. In order to integrate structured data, enterprises need to implement the data fabric pattern.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

JULY 26, 2019

Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity. Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning.

Technology 40

Technology Data Integration Enterprise Structured Data 40

AWS Big Data

NOVEMBER 19, 2024

Even though the indexes continue to ingest data and modify or delete documents, the PIT references the data that hasn’t changed since the PIT creation. Besides basic filtering and aggregation, OpenSearch SQL also supports complex queries, such as querying semi-structured data, set operations, sub-queries and limited JOINs.

Internet of Things 105

Internet of Things Visualization Structured Data Data Architecture 105

Ontotext

NOVEMBER 11, 2024

The use of knowledge graphs has an enormous effect on various systems and processes which is why Garner predicts that by 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision-making across the enterprise.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

AWS Big Data

NOVEMBER 14, 2024

Each AWS account has one Data Catalog per AWS Region. Each Data Catalog is a highly scalable collection of tables organized into databases. For more information, refer to Amazon Kinesis Data Firehose now supports zero buffering. Data Architect at AWS with more than ten years of experience in Data & Analytics domain.

Data Lake 105

Data Lake Metadata Testing Data-driven 105

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. In our use case, we use Redshift Query Editor to create data marts using SQL code.

Data Lake 92

Data Lake Machine Learning Data Architecture Data-driven 92