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3 posts tagged with "spark"

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· 19 min read
Neel Phadnis

(Source: Photo by Alex wong on Unsplash [Unsplash](https://unsplash.com/) ) Source: Photo by Alex wong on Unsplash Unsplash

SQL is broadly used as a data access language for analytics. Even if you are an application developer, chances are you have used it or at least are familiar with it.

Aerospike has broad support for SQL, enabling you to use SQL to access Aerospike data in multiple ways.

· 8 min read
Kiran Matty

When used with the Spark, Aerospike offers massively parallel storage to enable you to build high throughput and low latency ETL pipelines. Aerospike is a highly scalable NoSQL database and its hybrid memory architecture makes it an ideal database for Spark applications. It is typically deployed into real-time environments managing terabyte to petabyte data volumes and supports millisecond read and write latencies. It leverages bleeding-edge storage innovations such as PMem or persistent memory from best of breed hardware companies such as HPE and Intel. By storing indexes in DRAM, and data on persistent storage (SSD) and read directly from SSD, Aerospike provides unparalleled speed and cost-efficiency.

· 7 min read
Kiran Matty

According to the McKinsey Global Survey on artificial intelligence (AI), companies plan to invest even more in AI in response to the COVID-19 pandemic and its acceleration of all things digital. Data Science teams are utilizing data sets on a never seen before magnitude and scale, pursuing new use cases, and responding to new challenges created by the new normal.