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CFO Panel: Generating Value in a Post-Pandemic Market

Jet Global

The COVID-19 pandemic, economic turbulence, and global conflict have wreaked havoc on financial processes, and resulted in far greater pressure on CFOs to generate meaningful insights to guide their business. But as market predictions become more consistent, giving CFOs some time to catch their breath, new priorities start to emerge.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

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What is a Data Pipeline?

Jet Global

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

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How Newcomp Analytics partners with IBM to advance clients’ supply chain insights

IBM Big Data Hub

Yet Newcomp continues to be an essential and trusted partner, helping the company keep up with the high volume of analytics solutions it needs to address. Helping clients close the business analytics skills gap. The company’s up-to-date expertise with IBM Cognos Analytics and their close relationship with IBM are key factors.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

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What is The Difference Between BI and Analytics?

Jet Global

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. Diagnostic analysis attempts to explain how or why those events happened.

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Understanding Structured and Unstructured Data

Sisense

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.