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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.

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40+ Best Web Development Blogs of 2018

KeyCDN

Reading and following the right web development blogs makes it much easier to get a solid education. That’s why in this post, we’ve compiled a list of the top web development blogs that will help you find your footing and acquire essential skills in modern web dev. Visit website 3. Visit website 5. Visit website 9.

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AIOps observability adoption ascends in healthcare

Dynatrace

With so much at stake, the directive for IT and security teams became even more concrete: clinicians need systems that are available at any time and from anywhere, they could not experience outages, and they could not be vulnerable to cyberattacks. AIOps plays a critical role in this app’s availability.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321
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Why MySQL Could Be Slow With Large Tables

Percona

16 years ago, our founder Peter Zaitsev covered this topic and some of the points described there are still valid, and we will cover more on this blog. With disks being faster nowadays and CPU and memory resources being cheaper, we could easily say MySQL can handle TBs of data with good performance.

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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. Therefore, software-hardware co-design is an essential component. Meta TPP).

Latency 52
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Expanding the Cloud ? Managing Cold Storage with Amazon Glacier

All Things Distributed

Using Amazon Glacier AWS customers no longer need to worry about how to plan and manage their archiving infrastructure, unlimited archival storage is available to them with a familiar pay-as-you-go model, and with storage priced as low as 1 cent per GB it is extremely cost-effective. provides highly available and highly durable (â??designed

Storage 122