Wed.Feb 22, 2023

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A Deep Dive into Data Replication: Most Effective Way to Protect Your Data 

Analytics Vidhya

Introduction Data replication is also known as database replication, which is copying data to ensure that all information remains consistent across all data resources in real-time. data replication is like a safety net that keeps your information safe from disappearing or falling through the cracks. In most cases, data alters. It is constantly changing.

Database 269
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Backpressure in the data systems

Waitingforcode

Having a scalable architecture is the nowadays must but sometimes it may not be enough to provide consistent performance. Sometimes the business requirements, such as consistent delivery time or ordered delivery, can add some additional overhead. Consequently, scalability may not suffice. Fortunately, there are other mechanisms like backpressure that can be helpful.

Systems 130
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10 Interview Questions on GCP for the Senior/Manager Role

Analytics Vidhya

Introduction Suppose you are appearing in an interview for the manager or senior role. In that case, it’s important to have a deep understanding of the Google Cloud Platform and also must have the quality to lead the team in deployment and have the quality for cost optimization and security, and be able to communicate […] The post 10 Interview Questions on GCP for the Senior/Manager Role appeared first on Analytics Vidhya.

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The Ultimate Guide to Java Virtual Threads

Rock the JVM

Another tour de force by Riccardo Cardin. Riccardo is a proud alumnus of Rock the JVM, now a senior engineer working on critical systems written in Java, Scala and Kotlin. Version 19 of Java came at the end of 2022, bringing us a lot of exciting stuff. One of the coolest is the preview of some hot topics concerning Project Loom: virtual threads ( JEP 425 ) and structured concurrency ( JEP 428 ).

Java 145
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Essential A/B Testing Course for Data Science

KDnuggets

The course explains the core foundations and experiment design process for A/B testing, along with the case studies.

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Implementing and Using UDFs in Cloudera SQL Stream Builder

Cloudera

Cloudera’s SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL. As apart of Cloudera Streaming Analytics it enables users to easily write, run, and manage real-time SQL queries on streams with a smooth user experience, while it attempts to expose the full power of Apache Flink. SQL has been around for a long time, and it is a very well understood language for querying data.

SQL 82

More Trending

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Sharing LinkedIn’s Responsible AI Principles

LinkedIn Engineering

Co-authors - Blake Lawit and Ya Xu Editors Note: This post originally appeared on LinkedIn's Official Blog. LinkedIn was founded with a clear vision to create economic opportunity for every member of the global workforce. In 2023, we are seeing transformative advances in AI that have the potential to help us accelerate our progress toward that vision.

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Test Data Pipelines the Fun and Easy Way

Towards Data Science

Beginners guide: Why unit and integration tests are so important for your data platform Continue reading on Towards Data Science »

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KDnuggets News, February 22: Learning Python in Four Weeks: A Roadmap • Is Data Science a Dying Career?

KDnuggets

Learning Python in Four Weeks: A Roadmap • Is Data Science a Dying Career?

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Taking the pulse of infrastructure management in 2023

Tweag

February started with a busy week for several of us Tweagers. We went as a group — or, dare I say, a delegation — to FOSDEM23 and CfgMgmtCamp23 (Config Management Camp if, like me, you can’t read through so many consonants). Tweagers Bryan Honof and Théophane Hufschmitt , together with Ryan Lahfa , Julien Malka and Matthew Croughan from the Nix community, got us the first Nix DevRoom at FOSDEM.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Testing Data Applications is Hard

Meltano

Testing a data application is similar to testing any software application in many ways, just with a strong focus on testing data-related issues. But testing problems like failing data workflows, mismatches in data reconciliation after ETL, and data quality issues means that you’re not only testing the code but also the data itself. Data applications need comprehensive testing because they’re often responsible for providing data for other applications to consume.

Data 52
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Modernization Without Compromise: Integrating Data into a Cloud Environment

Precisely

Data is a central element of strategy and competitiveness across every industry around the globe. According to 451 Research , 90% of enterprise executives surveyed believe that data will become more important to their organizations 12 months from now than it is today with use of a cloud environment. Data is no longer just a byproduct of core business activities; the effective use of data is now a core objective unto itself.

Cloud 52
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What is Data Validity?

Monte Carlo

The annoying red notices you get when you sign up for something online saying things like “your password must contain at least one letter, one number, and one special character” are examples of data validity rules in action. They ensure compliance to expected conditions; in this case to make sure your password is hard to guess. Data validity simply means how well does data meet certain criteria, often evolving from analysis of prior data as relationships and issues are revealed.

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How DoorDash Designed a Successful Write-Heavy Scalable and Reliable Inventory Platform

DoorDash Engineering

As DoorDash made the move from made-to-order restaurant delivery into the Convenience and Grocery (CnG) business, we had to find a way to manage an online inventory per merchant per store that went from tens of items to tens of thousands of items. Having multiple CnG merchants on the platform means constantly refreshing their offerings, a huge inventory management problem that would need to be operated at scale.

Designing 124
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.