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Advantages of Using Cloud Data Platform Snowflake

Analytics Vidhya

Today, data controls a significant portion of our lives as consumers due to advancements in wireless connectivity, processing power, and […]. The post Advantages of Using Cloud Data Platform Snowflake appeared first on Analytics Vidhya.

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AWS Redshift: Cloud Data Warehouse Service

Analytics Vidhya

Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system. The post AWS Redshift: Cloud Data Warehouse Service appeared first on Analytics Vidhya. The datasets range in size from a few 100 megabytes to a petabyte. […].

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Firebolt Introduces Industry-First Low Latency Cloud Data Warehouse

insideBIGDATA

Firebolt announced the next-generation Cloud Data Warehouse (CDW) that delivers low latency analytics with drastic efficiency gains. Built across five years of relentless development, it reflects continuous feedback from users and real-world use cases.

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Preventing cloud data warehouse failure through proper integration

Dataconomy

Preventing cloud data warehouse failure is possible through proper integration. Utilizing your data is key to success. The importance of using data to make.

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Managing multi-cloud data is like looking for a needle in a haystack

Dataconomy

Today we are going to discuss all aspects of multi cloud data management. The majority of businesses have huge, challenging-to-manage data footprints. Disconnected data sources, uneven or nonexistent labeling and metadata standards, and local control over data access restrictions all contribute to management issues.

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Databricks Named a Leader in Stream Processing and Cloud Data Pipelines

databricks

We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space: IDC MarketScape: Worldwide Analytic.

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FeatureByte Releases FeatureByte SDK in Open Source

insideBIGDATA

The SDK allows data scientists to use Python to create state-of-the-art features and deploy feature pipelines in minutes – all with just a few lines of code. FeatureByte automatically generates complex, time-aware SQL to perform feature transformations at scale in cloud data platforms such as Databricks and Snowflake.