Knowledge Hut

APRIL 25, 2024

It is especially true in the world of big data. If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. Look for a suitable big data technologies company online to launch your career in the field.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. Late arriving facts Late arriving facts can be problematic with a strict immutable data policy.

Data Engineering 183

Data Engineering Data Engineer Data Process Process 183

Data Engineering Weekly

DECEMBER 10, 2023

link] Evidently: ML system design - 300 case studies to learn from An amazing compilation of ML system design articles from various companies. The blog is an excellent comparison study of Ray vs. Dask’s performance. Write Audit Publish (WAP) process validates writes before publishing.

Data Engineering 76

Data Engineering Data Engineer Engineering Metadata 76

Data Engineering Weekly

APRIL 28, 2024

Intuit writes about the growing data mesh strategy and the strategic focus area for building data products. Lyft writes about how it enabled continuous learning with technical training, Computer Science courses for Data Science, Seminar, and Brown Bag. LinkedIn writes an exciting blog about what is and is not working.

Data Engineering 52

Data Engineering Data Engineer Engineering Hospitality 52

Data Engineering Weekly

FEBRUARY 25, 2024

link] Berkeley Artificial Intelligence Research (BAIR): The Shift from Models to Compound AI Systems The Berkeley AI Research (BAIR) blog discusses the evolution from focusing on single large language models (LLMs) to developing compound AI systems that integrate multiple components, including LLMs, for superior performance.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Pinterest Engineering

NOVEMBER 28, 2023

Pinterest’s real-time metrics asynchronous data processing pipeline, powering Pinterest’s time series database Goku, stood at the crossroads of opportunity. The mission was clear: identify bottlenecks, innovate relentlessly, and propel our real-time analytics processing capabilities into an era of unparalleled efficiency.

Kafka 81

Kafka Bytes Architecture Utilities 81

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

Cloudyard

APRIL 1, 2024

This blog post introduces a solution for automated warehouse size change monitoring and email alerts using Snowflake Streams and Tasks. Imagine you’re a data analyst managing a busy Snowflake account. You rely on a designated warehouse to handle your data processing needs. Create STREAM on Audit Table.

Data Pipeline 52

Data Pipeline Utilities Coding Designing 52

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. Accelerated Data Analytics DataOps tools help automate and streamline various data processes, leading to faster and more efficient data analytics.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Databand.ai

AUGUST 30, 2023

It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. These systems typically consist of siloed data storage and processing environments, with manual processes and limited collaboration between teams.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Data Engineering Weekly

JULY 30, 2023

🙌💯 Right now, we're sorting out a few snags with the registration payment system, but no stress! link] All Things Distributed: Building and operating a pretty big storage system called S3. We handle Petabytes of data!!! All our data is in S3!!! data engineer, you won’t be surprised to hear this.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Data Engineering Weekly

MAY 16, 2023

In the first part of this series, we talked about design patterns for data creation and the pros & cons of each system from the data contract perspective. In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Maxime Beauchemin

APRIL 26, 2023

To support engineers in this process, I am introducing Promptimize , a Python toolkit designed to measure success and outcomes while doing prompt engineering. This blog post is about prompt engineering, its challenges, and the advantages of using Promptimize to support engineers building prompts. What a stellar assistant!

SQL 148

SQL Database Engineering Software Engineer 148

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. The extraction process requires careful planning to ensure data integrity.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

DoorDash Engineering

JANUARY 30, 2024

However, Cassandra also is notorious for being hard to tune for performance and for the pitfalls that can arise during that process. The system’s expansive flexibility, while a key strength, also means that effectively harnessing its full capabilities often involves navigating a complex maze of configurations and performance trade-offs.

NoSQL 84

NoSQL Database Systems Relational Database 84

LinkedIn Engineering

APRIL 4, 2023

This blog post will provide an overview of how we approached metrics selection and design, system architecture and key product features. Metrics Design and Selection We started with a simple question: What should we measure? To answer that we followed a metrics design framework called “Goals-Signals-Metrics.” (GSM)

MySQL 122

MySQL Datasets Software Engineer Software Engineering 122

Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! What is late-arriving data? Let’s dive in!

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Databand.ai

JULY 19, 2023

Data Lineage Tools: Key Capabilities and 5 Notable Solutions Ryan Yackel July 19, 2023 What Are Data Lineage Tools? Data lineage tools provide a visual representation of your data’s journey across multiple systems and transformations.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Data Engineering Weekly

DECEMBER 3, 2023

Github writes an excellent blog to capture the current state of the LLM integration architecture. link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers. I experienced similar drawbacks to what Lyft is talking about in Druid.

Data Engineering 70

Data Engineering Data Engineer Engineering Bytes 70

Knowledge Hut

MARCH 7, 2024

This blog will get you the top ten IoT skills that will be in high demand in 2024, as well as how you may develop them through IoT online courses , projects, and certifications. However, to succeed in this domain, you need the right skills and knowledge to help you design, develop and deploy IoT applications. Development Node.js

Cloud Computing 52

Cloud Computing Machine Learning Transportation Google Cloud 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. It is designed to handle errors and issues efficiently, making it suitable for local computing and storage. Competitive Advantage: Utilizing Hadoop projects can give organizations a competitive edge through data-driven insights.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

DECEMBER 22, 2023

Implementing voice recognition technology and APIs to accurately transcribe and process voice inputs. Incorporating voice-responsive design elements and voice-activated navigation for seamless interaction with the website. Employing load testing tools like JMeter or Gatling to simulate high user loads and analyze system performance.

Entertainment 105

Entertainment Utilities Machine Learning AWS 105

Data Engineering Weekly

NOVEMBER 20, 2022

[link] The short YouTube video gives a nice overview of the Data Cards. We often think of AI/ ML as a complex data processing problem, but it doesn’t make any use until it is exposed to an end user or an application. The trade-off plays a critical role in a critical system like Experimentation.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

Raw Data 49

Raw Data Data Ingestion Datasets Data 49

Data Engineering Weekly

FEBRUARY 18, 2024

In a recent poll, 75% of data practitioners say either they are implementing or are thinking of implementing Data Products. Yet, there is no tool for the data producers to Define, Design, Collaborate, Test, & Continuously Monitor the Data Products.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Workfall

JUNE 27, 2023

It means that there is a high risk of data loss but Apache Kafka solves this because it is distributed and can easily scale horizontally and other servers can take over the workload seamlessly. Think about it this way, traditionally, all the data needs were being handled by the backend server. Let’s get started!

Kafka 75

Kafka Architecture AWS Transportation 75

Data Engineering Weekly

SEPTEMBER 11, 2023

Niels Claeys: Head-to-head comparison of 3 dbt SQL engines The blog post compares benchmarks for the popular dbt SQL engines Trino, DuckDB, and Spark. However, one could argue this is not a head-to-head comparison since all three engines are designed for different hardware constraints. See how it works today.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Lyft Engineering

JUNE 6, 2023

This article will cover the following topics: Performance improvement process Strategies to profile streaming pipelines Common performance problems General guidelines to improve performance Performance Improvement Process The performance improvement of any software system is not an independent and isolated task but an iterative process.

Utilities 123

Utilities Coding Python Systems 123

Data Engineering Weekly

FEBRUARY 12, 2023

As a Data Engineer, I always want to know what is behind the scene of a product and how efficiently we can use system design to solve a business problem efficiently. We open the Behind the Scene series for startup founders to write in-depth technical articles, system design, and efficient product usage.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

JUNE 30, 2023

This article suggests the top eight data engineer books ranging from beginner-friendly manuals to in-depth technical references. What is Data Engineering? It refers to a series of operations to convert raw data into a format suitable for analysis, reporting, and machine learning which you can learn from data engineer books.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

APRIL 23, 2024

While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. In this blog we will explore the fundamental differences between data warehouse and big data, highlighting their unique characteristics and benefits.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Data Engineering Weekly

JUNE 18, 2023

Data management is critical for any organization to succeed in this AI world. The blog narrates LLM training options, Storage & retrieval, and the value chain to use LLM in your private data. Join Monte Carlo, dbt, and Shiftkey's VP of Data & Analytics, John Steinmetz. I’m super thrilled to see the blog.

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Knowledge Hut

JUNE 30, 2023

This blog guides the top Google Cloud career based on your role and area of expertise, and what you will learn in each one. Roles and Responsibilities: Designing cloud-based infrastructure that satisfies the organization's needs is the responsibility of cloud engineers.

Google Cloud 52

Google Cloud Cloud Cloud Computing Certification 52

Databand.ai

AUGUST 30, 2023

In this article: Why Is Data Testing Important? Optimizing Performance Data testing methods are also essential for optimizing the performance of data systems and applications. This results in faster, more efficient data processing, cost savings, and improved user experience.

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Data Validation Data Integration Data Database 52