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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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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions.

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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

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Build streaming data pipelines with Amazon MSK Serverless and IAM authentication

AWS Big Data

He works with enterprise FSI customers and is primarily specialized in machine learning and data architectures. In this free time, Philipp spends time with his family and enjoys every geek hobby possible. Daniel Wessendorf is a Global Solutions Architect at AWS based in Munich.

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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling.

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Convergent Evolution

Peter James Thomas

Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Of course some architectures featured both paradigms as well.

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Simplify access management with Amazon Redshift and AWS Lake Formation for users in an External Identity Provider

AWS Big Data

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities.