Remove 2012 Remove Big Data Remove Data Analytics Remove Data-driven
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Using Instagram Highlight Covers in Your Data-Driven Marketing Strategy

Smart Data Collective

Modern marketing strategies rely heavily on big data. One study found that retailers that use big data have 2.7 Big data is even more important for companies that depend on social media marketing. His statement about the importance of big data in social media marketing is even more true today.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. At present, around 2.7

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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The Future Of The Telco Industry And Impact Of 5G & IoT – Part 1

Cloudera

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing.

IoT 96
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The Future Of The Telco Industry And Impact Of 5G & IoT – Part 1

Cloudera

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing.

IoT 70
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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

Data is at the center of every application, process, and business decision. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility.

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Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).