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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data.

Big Data 321
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Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices

The Morning Paper

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., A DNN model is trained to recognise patterns in space and time that lead to QoS violations. E.g., in memcached there are five main internal stages, each of which has a hardware or software queue associated with it.

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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. About CXL hardware availability with academia. Also, besides the hardware, we see the software ecosystem starts to appear (e.g.,

Latency 52
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Tackling the Pipeline Problem in the Architecture Research Community

ACM Sigarch

big-data processing, machine learning, quantum computing, and so on). This is arguably a fundamentally hard problem for computer architecture, but efforts towards open source hardware (eg. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training. Lack of Diversity.

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Structural Evolutions in Data

O'Reilly

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

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Python at Netflix

The Netflix TechBlog

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. We also use Python to detect sensitive data using Lanius. These libraries are the primary way users interface programmatically with work in the Big Data platform.

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Expanding the AWS Cloud – Introducing the AWS Europe (Stockholm) Region

All Things Distributed

We also provided web-based training, self-paced labs, customer support, third-party offers, and up to $100,000 in AWS service credits–all at no charge. The first platform is a real time, big data platform being used for analyzing traffic usage patterns to identify congestion and connectivity issues.

AWS 124