Remove Cost-Benefit Remove Data Analytics Remove Data Integration Remove Data Warehouse
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Data architecture strategy for data quality

IBM Big Data Hub

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

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Dive deep into AWS Glue 4.0 for Apache Spark

AWS Big Data

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. AWS Glue Data Catalog client 3.6.0 brings performance improvements at lower cost.

Testing 80
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Breaking down Business Intelligence

BizAcuity

Not any student but a rank holder in mathematics and chemistry who was tasked with assessing the quality of their brew in a cost effective manner. The more effectively a company uses data, the better it performs. So, make sure you have a data strategy in place. Data Integration. Data mining.

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse.

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How GamesKraft uses Amazon Redshift data sharing to support growing analytics workloads

AWS Big Data

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. These upstream data sources constitute the data producer components.

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Unlock scalable analytics with AWS Glue and Google BigQuery

AWS Big Data

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 101
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The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

DataKitchen

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.