Big Data in the cloud – avoiding cloud lock-in

The article discusses the benefits and challenges of using Big Data technologies in businesses, particularly focusing on cloud solutions. It highlights the risk of vendor lock-in with proprietary cloud services and advocates for open-source tools as a strategy to mitigate this risk, promoting flexibility and reducing dependency on specific vendors.

Big Data solution – generic or specific, cloud or on-premise?

As businesses increasingly adopt Big Data technologies, choosing the right tools involves navigating numerous options. Companies must decide between building specific solutions or generic platforms. While tailored solutions can limit flexibility, generic platforms offer scalability and adaptability. Deployment options, either on-premise or cloud-based, further influence the implementation strategy, affecting future growth and exploration.

Big Data – quick overview

This overview categorizes major Big Data technologies into on-premise and cloud solutions. It details three principal on-premise distributions: Hortonworks, Cloudera, and MapR, along with their unique features. Additionally, it describes cloud solutions from Amazon, Google, and Microsoft, emphasizing their distinct data access methods, ingestion, and analytical tools.

Norwegian domestic roaming rates in EU/EEA – first impressions

Norwegian operators have launched domestic roaming rates for EU/EEA countries ahead of EU regulations, allowing customers on AYCE subscriptions to avoid extra charges. However, confusion remains regarding charges in non-EEA countries like Switzerland. Additionally, roaming tests reveal potential quality issues due to operators’ preferred network selections.