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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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Learning From Your BGP Tables

Kentik

Kentik’s Advanced Analytics Turns Routes into Insights. That’s why network engineers have long used the BGP routing table on routers or looking glasses to get an idea of how their Internet traffic is routed. This is the premise behind the Analytics features in Kentik Detect, Peering Analytics and Route Traffic Analytics.

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The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., What is Power used for? Power BI products. Power BI products.

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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Alation: support for self-service analytics and BI.

Tools 59
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Kentik APIs Enable Multi-Solution Integration

Kentik

While Kentik addresses use cases across monitoring, alerting, analytics, and planning, organizations will likely always encounter specific scenarios that aren’t totally handled by any one tool or system. To see the full variety of the calls that are available you can refer to our Knowledge Base, which covers both Admin APIs and the Query API.

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The Why and How of Interface Classification

Kentik

From a technical standpoint, Interface Classification provides an elegant solution to a critical question of flow-based analytics: how do we uniquely identify flows when they may pass through multiple interfaces within our autonomous system (AS)? In a future post we’ll take a closer look at some typical use cases. Keeping Counts Real.

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Kentik APIs for Customer Portal Integration

Kentik

The data is stored in the Kentik Data Engine™, a timeseries database that unifies flow records (NetFlow v5/9, IPFIX, sFlow) with BGP, Geo-IP, and SNMP. To determine what metrics and units to include, reference the [query object documentation]( [link] Object) defined in the Kentik Knowledge Base.

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