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How Smart Buildings Use Data to Help Businesses Cut Costs

Smart Data Collective

There are many ways businesses are using big data to make better decisions and operate more efficiently Organizations can use big data to optimize expenses and reduce costs. A modern data infrastructure can help get more value from data by accelerating decision making, simplifying operations, and powering analytics.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Below we break down the latest trends in business intelligence.

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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

This feature helps automate many parts of the data preparation and data model development process. This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

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Unlocking the Potential of Amazon Redshift?

Astera

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. These include dimensional models and data vaults.

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Cloud Data Warehouse: A Comprehensive Guide

Astera

Data Ingestion Layer: The data journey in a cloud data warehouse begins with the data ingestion layer, which is responsible for seamlessly collecting and importing data. This layer often employs ETL processes to ensure that the data is transformed and formatted for optimal storage and analysis.

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What Is Data Management and Why Is It Important?

Astera

Breaking down data silos and building a single source of truth (SSOT) are some prerequisites that organizations must do right to ensure data accuracy. Big Data Management Growing data volumes compel organizations to invest in scalable data management solutions.