AWS Big Data

MAY 22, 2024

OpenSearch Ingestion is capable of ingesting data from a wide variety of sources and has a rich ecosystem of built-in processors to take care of your most complex data transformation needs. He is deeply passionate about Data Architecture and helps customers build analytics solutions at scale on AWS.

Data Architecture 102

Data Architecture Visualization Data Transformation Management 102

DataKitchen

DECEMBER 20, 2020

The agile alliance definition of business agility consists of two parts. The DataOps Engineering skillset includes hybrid and cloud platforms, orchestration, data architecture, data integration, data transformation, CI/CD, real-time messaging, and containers. Companies that move slowly get left behind. .

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

Anmut

MARCH 24, 2022

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success. What is a data landscape?

ROI 52

ROI Measurement Data-driven Data Transformation 52

AWS Big Data

NOVEMBER 15, 2023

It works as a bundle for resources that are bound to a specific staging environment and Region to store data on Amazon Simple Storage Service (Amazon S3), which is renowned for its industry-leading scalability, data availability, security, and performance. Data providers and consumers are the two fundamental users of a CDH dataset.

Dashboards 98

Dashboards Analytics Metadata Data Warehouse 98

Ontotext

MARCH 27, 2024

It accelerates data projects with data quality and lineage and contextualizes through ontologies , taxonomies, and vocabularies, making integrations easier. RDF is used extensively for data publishing and data interchange and is based on W3C and other industry standards. LPGs are rudimentary knowledge graphs.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

IBM Big Data Hub

JANUARY 18, 2023

This adds an additional ETL step, making the data even more stale. Data lakehouse was created to solve these problems. The data warehouse storage layer is removed from lakehouse architectures. Instead, continuous data transformation is performed within the BLOB storage. Data mesh: A mostly new culture.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

MARCH 3, 2023

Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9 Monjumi Sarma is a Data Lab Solutions Architect at AWS.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85