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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase. The Dawn of Telco Big Data: 2007-2012. Let’s examine how we got here.

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BI Data Lineage Solutions: Your Trusted Guide For Success

Octopai

One example is the lineage methods that the banking industry has adopted to comply with regulations put in place following the 2007 financial collapse. It required banks to develop a data architecture that could support risk-management tools. A key piece of legislation that emerged from that crisis was BCBS-239.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands. Ruben Falk is a Capital Markets Specialist focused on AI and data & analytics. Ruben consults with capital markets participants on modern data architecture and systematic investment processes.

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Data Strategy in a Working from Home Climate

Peter James Thomas

To provide some more colour, let’s go back to 2007 / 2008. In closing, the Data Strategy I developed was adopted and the international data architecture that was later rolled out remains in place today; a testament to both the work done by the development teams, but also – I hope – to my vision.

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Back to the Financial Regulatory Future

Cloudera

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture.

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How Finance is Leveraging Automated Data Lineage for Regulations Compliance

Octopai

The worldwide economy was shaken in 2007 when the United States stock market had its largest drop since the Great Depression. While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems.

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Two Reasons Why Apache Cassandra Is the Database for Real-Time Applications

CIO Business Intelligence

Keeping it at acceptable levels requires an underlying data architecture that can handle the demands of globally deployed real-time applications. To reduce latency and deliver the best user experience, the data need to be as close to the end user as possible. Or what about Netflix?