AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

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AWS Big Data

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

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DataKitchen

NOVEMBER 29, 2021

For example, a Hub-Spoke architecture could integrate data from a multitude of sources into a data lake. The Hub-Spoke architecture is part of a data enablement trend in IT. Data that flows through the Hub-Spoke data architecture will be controlled and managed by workflows located in a centralized process hub.

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AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time. To get started with this feature, see Querying the AWS Glue Data Catalog.

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IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

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IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

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OLAP Slice and Dice Cost-Benefit Data Warehouse 63

Sisense

DECEMBER 11, 2019

Similarly, Kyle outlined how Flexport , the world’s first international freight forwarder and customs brokerage built around an online dashboard, uses Periscope Data to analyze billions of records, and get answers in seconds. Kyle said: We empower data analysts to create more business value than any other BI platform.

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CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

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Ontotext

AUGUST 4, 2023

This logical data architecture is designed to help organizations deal with growing volumes of data, spanning data silos with seamless connectivity and a knowledge layer. Using metadata, machine learning (ML), and automation, a data fabric provides a unified view of enterprise data across data formats and locations.

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Metadata Data-driven Data Architecture Data Quality 52

Alation

FEBRUARY 20, 2020

In a nod to AC/DC, a wink to Gartner’s research report, Data Catalogs Are the New Black in Data Management and Analytics , and inspiration from the inaugural Forrester Wave : Machine Learning Data Catalogs , we have temporarily set aside our Alation orange and have been rocking “black” for the Alation MLDC World Tour.

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Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. For EA professionals, relying on people and manual processes to provision, manage, and govern data simply does not scale. How Data Catalogs Can Help. [2] -->. Subscribe to Alation's Blog.

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Data Governance Data Lake Dashboards Big Data 52

Andrew White

JANUARY 11, 2021

The data suggests several things: The work of traditional analytics and BI continues towards democratization in the business unit directly, we call this domain analytics in our research, part of domain D&A. Many data science labs are set up as shared services. Data lakes don’t offer this nor should they.

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