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Data Impact Award Spotlight and Update on 2020’s Industry Transformation Winner: Telkomsel

Cloudera

With more than 25TB of data ingested from over 200 different sources, Telkomsel recognized that to best serve its customers it had to get to grips with its data. . Its initial step in the pursuit of a digital-first strategy saw it turn to Cloudera for a more agile and cost-effective data storage infrastructure.

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Cloud Computing Future: 12 Trends & Predictions About Cloud

Knowledge Hut

In the 1980s, advances in telecommunications made it possible for businesses to connect their internal networks to external service providers. The IoT will create a huge amount of data that needs to be stored and processed, and the cloud is the perfect platform for this.

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A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

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2020 Data Impact Award Winner Spotlight: Telkomsel

Cloudera

It serves more than 158 million customers, of which 104 million are users of data, creating more than 10 billion customer activities in a day. The telecommunications company recognized that in order to best serve its customers and keep up with their needs, it had to get to grips with data. A digital telco: the transformation .

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ITSM vs ITIL: How do They Differ?

Knowledge Hut

History of ITIL and ITSM Initially, ITIL was developed by the UK government’s Central Computing & Telecommunications Agency. The recommendations are included in the recommendations of the Central Computer and Telecommunications Agency (CCTA). During the 1980s, there were no standard practices for using information technology.

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The Role of Database Applications in Modern Business Environments

Knowledge Hut

Apache Cassandra is a well-known columnar database that can handle enormous quantities of data across dispersed clusters. It is widely utilized for its great scalability, fault tolerance, and quick write performance, making it ideal for large-scale data storage and real-time analytics applications. Spatial Database (e.g.-

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Customer Communication Management for Highly Regulated Industries

Precisely

Organizations that house customer data in multiple systems usually find it very difficult to comply with privacy, security, and data sovereignty regulations. By simplifying and streamlining integration and eliminating redundancy in data storage, businesses in highly regulated industries can vastly simplify compliance.