Discover and read the best of Twitter Threads about #Hadoop
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🎯 You should know 7 things to become successful in
#dataengineering career 🔥
📌 Credit - Shri Ajay Kadiyala ji ✅
🧵👇
#dataengineering career 🔥
📌 Credit - Shri Ajay Kadiyala ji ✅
🧵👇
How can I start a career in #risk management in the financial services industry?
@GARP_Risk @PRMIA @RIMSorg @actuarynews @SOActuaries @CQFInstitute @CFAinstitute
@GARP_Risk @PRMIA @RIMSorg @actuarynews @SOActuaries @CQFInstitute @CFAinstitute
I believe they are many degrees that can be a good value for money, provided you know where you would like to work in the long run.
In the developing world markets, employers still don't appreciate highly technical education in risk, actuarial sciences, financial engineering, quantitative economics, machine learning, etc.
For them, an #MBA is a be-all and an end-all troubleshooter.
For them, an #MBA is a be-all and an end-all troubleshooter.
Over the last months, we improved our @OVHcloud Public Cloud ecosystem with our vision + your requests and feedbacks.
Fasten your seatbelt, here is a recap ! 🔽
Fasten your seatbelt, here is a recap ! 🔽
Reminder: Public Cloud = bricks like compute, storage, network, PaaS, services,... sharing some concepts like pay-what-you-consume-only, usually mgmt by project, API everywhere and sharing physical hosts between multiple customers. But your VMs (called instances) are for you only
Let's start with compute. We now provide IOPS instances with high-perf SSD #NVMe disks.
#ELK, #Hadoop, #NoSQL ? Perfect uses-cases for them :) Trust me they "dechire grave" as we say here.
FIO benchmarks vs competitors = specifc thread soon :)
ovh.ie/public-cloud/i…
#ELK, #Hadoop, #NoSQL ? Perfect uses-cases for them :) Trust me they "dechire grave" as we say here.
FIO benchmarks vs competitors = specifc thread soon :)
ovh.ie/public-cloud/i…
So, my thread on how to choose databases for your web apps starts in 20 minutes time. Hope y'all are ready ?However, this time i would love it to be an interactive session where we can learn from each other about database preferences for specific web apps and the use case
#thread
#thread
This is what we want to talk about today. Take a really good look at the image below. Study it well. Also notice the words at the 3 vertexes of the triangle. CONSISTENCY, AVAILABILITY & PARTITION-TOLERANCE (Big English - but fear not, we shall demystify all and it'll all be easy)
If we also look at the image in the previous tweet on this thread we can see some popular databases placed at certain sides of the triangle. It is important to note also the positioning of some of a particular point on each side. We shall discuss this in more detail soon. #thread
Sábado, sabadete, por lo que hoy toca hilo sobre #privacidad y #protecciondedatos o (des)protección de datos. Tema central de hoy: ¿Por qué estamos actualmente en una situación en la que la privacidad y la falta de transparencia se han convertido en cuestiones legales centrales?
Obviamente, se debe a un rápido desarrollo tecnológico, pero quizás sea útil para nuestra discusión sobre #transparencia, #privacidad y #perfiles.
para cavar un poco más profundo en el por qué, y no en el cómo. ¡Adelante hilo!
para cavar un poco más profundo en el por qué, y no en el cómo. ¡Adelante hilo!
Dos hechos tecnológicos hicieron posible esta enorme transformación: 1) el desarrollo de hardware informático y 2) el desarrollo de un software que permitió que muchos ordenadores funcionaran como uno solo. ¿Qué supusieron estos grandes hitos para las organizaciones y empresas?
2/ While Spark can be 10-100X faster than #Hadoop's #MapReduce, the analytic engines (MapReduce & Spark) have different use cases
3/ #apachespark built to sit on top of #Hadoop, b/c it's an analytic engine while #Hadoop is a #BigData file system and orchestrator
