Remove Big Data Remove Cloud Computing Remove Data Warehouse
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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. Big data and data warehousing.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. What’s so special about the Cloud? Cloud technology is a fascinating subject. Many people still confuse cloud computing with ‘cloud washing’. The evolution of Cloud Computing.

IBM cost 130
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Data Warehouse vs. Database: Understanding the Differences

Astera

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

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The Data Journey: From Raw Data to Insights

Sisense

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions.

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Top Challenges and Opportunities for Chief Data Officers

Sisense

Whatever a company does, how it uses data is a key differentiator in its success or failure. Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts.

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What Defines the Modern Data Stack and Why You Should Care?

Astera

The modern data stack (MDS) is a collection of tools for data integration that enable organizations to collect, process, store and analyze data. Being based on a well-integrated cloud platform, modern data stack offers scalability, efficiency, and proficiency in data handling.