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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.
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?
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.
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
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.
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 ).
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.
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
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.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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.
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.
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.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
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.
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
How to use Kafka Streams to aggregate change data capture (CDC) messages from a relational database into transactional messages, powering a scalable microservices architecture.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
In the previous article Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform, we explained core concepts of data.
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
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?
With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
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.
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
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.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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.
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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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