June 2017 Summaries
3 posts from Aerospike
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Aerospike has released v3.13 and v3.14 with improvements in operational usability, including large clusters, dynamic namespaces, and rapid upgrade features. The new releases also include ACM v5 for better cluster management, enhanced protocols for exchanging clustering information, and support for more nodes per cluster. Dynamic namespace addition and removal are now possible without requiring complex procedures or downtime. Additionally, Aerospike allows rapid upgrading of cluster nodes with no lost writes during the process. The large data type (LDT) functionality has been deprecated in both Community Edition and Enterprise Edition, while Set Delete has been replaced by Set Truncate for faster and more reliable operations.
Jun 20, 2017
1,257 words in the original blog post.
The telecommunications industry is undergoing significant transformation due to the increasing demand for data among consumers and businesses. As a result, service providers (SPs) are facing new challenges and opportunities in terms of technology, industry standards and regulations, and business models. To address these changes, SPs need to leverage transactional analytics, which involves integrating analytics with transactional processes to enable real-time decision making. This approach can help SPs achieve breakthrough cost savings and capital intensity while maintaining or increasing their scale across three strategic areas: networks, customer-centricity, and digital innovation. To successfully implement telco digitalization strategies, the analytics process must be tightly integrated with transaction processing systems using a Hybrid Transactional/Analytical Processing (HTAP) architecture.
Jun 18, 2017
991 words in the original blog post.
The article discusses the importance of transactional analytics in enhancing customer experience. With the increasing use of mobile devices and digital channels, consumers demand quicker and more personalized services from enterprises. This has led to a need for real-time data analysis to detect, understand, and react to customer requests instantly. Transactional analytics can bring together transactional and operational data to support critical business moments. The article also highlights the benefits of superior customer experience in driving competitive advantage, as demonstrated by McKinsey's research showing increased customer satisfaction, revenue growth, and reduced cost to serve.
Jun 08, 2017
844 words in the original blog post.