Sat.Feb 18, 2023 - Fri.Feb 24, 2023

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Top 20 Big Data Tools Used By Professionals in 2023

Analytics Vidhya

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze. Still, it provides valuable insights and information that can […] The post Top 20 Big Data Tools Used By Professionals in 2023 appeared first on Analytics Vidhya.

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The job market for new grads: worse than in 2008, but better than 2002

The Pragmatic Engineer

Originally published on 23 Feb 2023 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. If you're not yet a full subscriber, you missed the in-depth analysis this week: Are tech companies aggressively cutting back on vendor spend?

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The View Below The Waterline Of Apache Iceberg And How It Fits In Your Data Lakehouse

Data Engineering Podcast

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. Projects like Apache Iceberg provide a viable alternative in the form of data lakehouses that provide the scalability and flexibility of data lakes, combined with the ease of use and performance of data warehouses.

IT 147
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Data News — Week 23.08

Christophe Blefari

Data engineering team moving data manually ( credits ) Dear readers, I hope you had a great week. Each time I look back and I see the amount of Fridays I've spent reading and writing I'm still surprised. For the last 2 newsletters I've tried to ask your for paying support. From number of people who really paid I can see that I failed to either word it correctly, either to propose a newsletter where you see the value of paying for it.

Kafka 130
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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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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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5 Statistical Paradoxes Data Scientists Should Know

KDnuggets

Knowing these 5 statistical paradoxes is essential for data scientists to improve their analyses and machine learning models.

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Step-by-step Guide to Become a Data Scientist in Retail Industry

Analytics Vidhya

Introduction Data analysts with the technological know-how to tackle challenging problems are data scientists. They collect, analyze, interpret data, and handle statistics, mathematics, and computer science. They are accountable for providing insights that go beyond statistical analyses. A data scientist’s function is highly transferable, and data scientist employment is available in private and public sectors, […] The post Step-by-step Guide to Become a Data Scientist in Retail Indu

Retail 251
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Data News — Week 23.07

Christophe Blefari

When the Data News lands on Saturday ( credits ) In last week newsletter I've also share what is a metrics store, which led to a longer edition than usual and I saw that a few people did not like it this way. It was a try I'll see in the future how I can do it better. Still, what is a metrics store ? You can check out the post extracted from the newsletter.

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Pinterest is now on HTTP/3

Pinterest Engineering

Liang Ma | Software Engineer, Core Eng; Scott Beardsley | Engineering Manager, Traffic; Haowei Yuan | Software Engineer, Traffic Figure 1 — HTTP/3 at Pinterest Now Pinterest operates on HTTP/3. We have enabled HTTP/3 for major Pinterest production domains on our multi-CDN edge network, and we’ve upgraded client apps’ network stack to support the new protocol.

Bytes 115
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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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Data Cleaning with Python Cheat Sheet

KDnuggets

An intuitive guide that will help you to prepare and preprocess your dataset before applying the machine learning model.

Python 160
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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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Combining CDC Transactional Messages Using Kafka Streams

Confluent

How to use Kafka Streams to aggregate change data capture (CDC) messages from a relational database into transactional messages, powering a scalable microservices architecture.

Kafka 108
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SQL Streambuilder Data Transformations

Cloudera

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience. Though SQL is a mature and well understood language for querying data, it is inherently a typed language.

SQL 108
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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.

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Free TensorFlow 2.0 Complete Course

KDnuggets

Are you a beginner python programmer aiming to make a career in Machine Learning? If yes, then you are at the right place! This FREE tutorial will give you a solid understanding of the foundations of Machine Learning and Neural Networks using TensorFlow 2.0.

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Understanding the Basics of Data Warehouse and its Structure

Analytics Vidhya

Introduction Nowadays, the corporate environment changes according to technology. Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data. It provides the necessary foundation for businesses to […] The post Understanding the Basics of Data Warehouse and its Structure appeared first on Analy

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Apache Kafka with Control and Data Planes

Confluent

With the advent of service mesh and microservices, control and data planes have become popular. This post shows you how to ensure security and governance controls in your Kafka system.

Kafka 104
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Hodor: Overload scenarios and the evolution of their detection and handling

LinkedIn Engineering

Co-Authors - Abhishek Gilra , Nizar Mankulangara , Salil Kanitkar , and Vivek Deshpande Introduction To connect professionals and make them more productive, it is crucial that LinkedIn is available at all times. For us, downtime means that our members and customers don’t have access to the conversations, connections, and knowledge that are essential to them achieving their objectives.

Algorithm 101
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Top Posts February 13-19: Top Free Resources To Learn ChatGPT

KDnuggets

Top Free Resources To Learn ChatGPT • The ChatGPT Cheat Sheet • 4 Ways to Rename Pandas Columns • ChatGPT as a Python Programming Assistant • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.

Python 108
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Top 10 Data Pipeline Interview Questions to Read in 2023

Analytics Vidhya

Introduction Data pipelines play a critical role in the processing and management of data in modern organizations. A well-designed data pipeline can help organizations extract valuable insights from their data, automate tedious manual processes, and ensure the accuracy of data processing. Overall, data pipelines are a critical component of any data-driven organization, helping to ensure […] The post Top 10 Data Pipeline Interview Questions to Read in 2023 appeared first on Analytics Vidhy

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The Future Of Online Security: Is Meta Verification The Answer?

U-Next

What’s cooler than having thousands of followers on Instagram? It’s the teeny tiny blue tick next to your name that establishes the fact that you as an individual/product/service is popular as well as reliable. The Instagram ‘Blue Tick’ which is a symbol of celebrity, popularity, and influence on the platform has now been made available to all.

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D3: An Automated System to Detect Data Drifts

Uber Engineering

Data quality is of paramount importance at Uber, powering critical decisions and features. In this blog learn how we automated column-level drift detection in batch datasets at Uber scale, reducing the median time to detect issues in critical datasets by 5X.

Systems 98
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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How to Update a Python Dictionary

KDnuggets

Learn how to update a Python dictionary using the built-in dictionary method update(). Update an existing Python dictionary with key-value pairs from another Python dictionary or iterable.

Python 107
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Most Frequently Asked Azure Data Factory Interview Questions

Analytics Vidhya

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation. Azure data factory helps organizations across the globe in making critical business decisions by collecting data from various sources such as e-commerce websites, supply chains, logistics, […] The post Most Frequently Asked Azure Data Factory Interview Questions appeared first on Anal

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Pave Your Path to Desired Promotion with Our IIM Indore’s Strategic Sales Management Program!

U-Next

If not for career growth and progress, what else do we work for? Gone are the days when individuals took up a job just for a source of income. Today, everyone wants to have and own a successful career where they can thrive, achieve, and accomplish their complete potential. Being ambitious and focused is the only way to reach the top and everybody wants to win the race.

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The Chaos Data Engineering Manifesto: Spare The Rod, Spoil Prod

Monte Carlo

It’s midnight in the dim and cluttered office of The New York Times currently serving as the “situation room.” A powerful surge of traffic is inevitable. During every major election, the wave would crest and crash against our overwhelmed systems before receding, allowing us to assess the damage. We had been in the cloud for years, which helped some.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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SQL Interviews Preparations Material Resources

KDnuggets

SQL is a must-known programming language for data people, and many modern jobs have SQL as a prerequisite. Here are material collections to prepare for your SQL interview.

SQL 108
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Top 5 SQL Interview Questions

Analytics Vidhya

Introduction SQL is a database programming language created for managing and retrieving data from Relational databases like MySQL, Oracle, and SQL Server. SQL(Structured Query Language) is the common language for all databases. In other terms, SQL is a language that communicates with databases. It is a query language used to store and retrieve data from […] The post Top 5 SQL Interview Questions appeared first on Analytics Vidhya.

SQL 168
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The Chaos Data Engineering Manifesto

Towards Data Science

The Chaos Data-Engineering Manifesto Another lesson we can learn from software engineers: break stuff to make it more reliable. Photo by Soheb Zaidi on Unsplash It’s midnight in the dim and cluttered office of The New York Times currently serving as the “situation room.” A powerful surge of traffic is inevitable. During every major election, the wave would crest and crash against our overwhelmed systems before receding, allowing us to assess the damage.

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Meta’s head of AR hardware on the future of AR

Engineering at Meta

While VR headsets have been with us for at least a decade, AR hardware barely exists today; indeed, the very components that will comprise the hardware scarcely exist, making it a truly zero-to-one innovation challenge. Meta’s Head of AR Glasses Hardware, Caitlin Kalinowski is helping to lead that charge. Kalinowski hails from Portsmouth, NH and studied mechanical engineering at Stanford University.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating