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What is Streaming Analytics?

Cloudera

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.

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Data Lake vs Data Warehouse

The Crazy Programmer

While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. A data lake is a repository that holds raw data, of which the purpose is not yet defined or requires a very high level of flexibility and agility. What is Data Lake?

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Ready to have a conversation about outsourcing your development to a top-ranked Agile development team?

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Anti-Predictions: 8 Future-proof Analytics Trends for 2021 and Beyond

TIBCO - Connected Intelligence

As such, the following is an index of these rolled up trends as themes which echoed persistently from industry analysts as top analytics trends for 2021. And check out companies that are ahead of the curve in each category and next steps for your business! . Intelligent, adaptable business…. Click To Tweet.

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Pentaho 5.3 Continues To Deliver On Big Data Analytics With Scale Including AWS Redshift and Impala

CTOvision

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Enterprise Cloud Analytics with Amazon Redshift. “We Pentaho 5.3:

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Fundamentals of Data Engineering

Xebia

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

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What’s Hot: Join Us at the AWS Summit in New York

d2iq

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

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