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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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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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 132
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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 125
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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 159
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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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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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Startup Spotlight: APIs on Top of Snowflake with Propel

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. In this Q&A, we hear from Nico Acosta, CEO and Co-Founder of Propel, about how his company is building an API platform to equip developers to build with data, and why data architecture is the most important technical decision a company will make.

AWS 122
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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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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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How Meta brought AV1 to Reels

Engineering at Meta

We’re sharing how we’re enabling production and delivery of AV1 for Facebook Reels and Instagram Reels. We believe AV1 is the most viable codec for Meta for the coming years. It offers higher quality at a much lower bit rate compared with previous generations of video codecs. Meta has worked closely with the open source community to optimize AV1 software encoder and decoder implementations for real-world, global-scale deployment.

Algorithm 119
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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 110
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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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 110
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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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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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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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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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 105
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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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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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Quantifying Efficiency in Ridesharing Marketplaces

Lyft Engineering

by Alex Chin and Tony Qin Photo by Lisheng Chang on Unsplash The health of Lyft’s marketplace depends on how riders and drivers are distributed across space and time. Within the complex rideshare space, it is not easy to define typical marketplace concepts like “market efficiency” and “supply-demand balance”. A simple question such as “Do we have enough drivers right now?

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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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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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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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 102
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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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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.