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How Big Data has Redefined the Legal Industry

Smart Data Collective

One of the biggest changes of an age of technology, is the entrance of “big data” into the world, which got noticed, globally, around 2010. Co-founder and Co-director of the MIT Initiative on the Digital Economy, Andrew MacAfee once said, “The world is one big data problem.”. are still fighting the last war. Who needs it.”.

Big Data 141
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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

The process is driven by a “comprehensive picture of an entire enterprise from the perspectives of owner, designer, and builder,” according to the EABOK. Gartner: After acquiring The Meta Group in 2005, Gartner established best practices for EAP and adapted them into the company’s general consulting practices.

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Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

To get truly powerful insights, you need to pull in data from multiple sources. Additional data sources increase your chances to inform actions, fueling top-line and bottom-line growth. Measuremen: Optimizing facilities use with data from numerous sources. Since those early days, Measuremen has broadened its data sources.

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Broadcom’s Approach Towards Delivering Customer Value

CIO Business Intelligence

At Broadcom, we make business decisions driven by what will bring customers the most value. Instead, our entire business model is grounded in the belief that we can create innovative solutions that will deliver on our customers’ needs over time and progress through multiple generations of technology. So, how do we make that happen?

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

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Streaming Market Data with Flink SQL Part II: Intraday Value-at-Risk

Cloudera

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Risk 96