Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics.

Systems 103

Systems Hadoop Unstructured Data Media 103

Precisely

APRIL 11, 2023

It’s a common scenario across industries: a new strategic initiative is launching, and you need trustworthy, relevant data to analyze and support the best outcomes for the business. What existing data does the organization have to support my initiative? What existing data does the organization have to support my initiative?

Accessible 52

Accessible Accessibility Metadata Data Integration 52

Ascend.io

MAY 23, 2023

The data engineering world is full of tips and tricks on how to handle specific patterns that recur with every data pipeline. A prime example of such patterns is orphaned datasets. Typically, these orphaned datasets are addressed with ad-hoc manual protocols and after-the-fact garbage collection processes.

Datasets 52

Datasets Data Pipeline Metadata Database 52

Analytics Vidhya

FEBRUARY 6, 2023

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

Data Storage 185

Data Storage Big Data Hadoop Datasets 185

Towards Data Science

MARCH 29, 2023

Turbo and GPT-4 for Predicting Humanitarian Data Categories Image created by Stable Diffusion with prompt ‘Predicting Cats’. Turbo and GPT-4 to categorize datasets without the need for labeled data or model training, by prompting the model with data excerpts and category definitions. Using GPT-3.5-Turbo

Datasets 63

Datasets Food Retail Hospitality 63

Knowledge Hut

APRIL 25, 2024

Intrusion detection systems (IDS) are designed to identify suspicious and malicious activity through network traffic. So, let's get to know the meaning of an intrusion detection system and how it works. What Is a n Intrusion Detection System? Why Are Intrusion Detection Systems Important? and how it works.

Systems 52

Systems Recruitment Machine Learning Certification 52

Engineering at Meta

MAY 22, 2024

In recent years, Meta’s data management systems have evolved into a composable architecture that creates interoperability, promotes reusability, and improves engineering efficiency. Data is at the core of every product and service at Meta. We needed to change our thinking to be able to move faster.

Data Management 86

Data Management Management Data SQL 86

Towards Data Science

FEBRUARY 9, 2024

The first phase focuses on building a data pipeline. This involves getting data from an API and storing it in a PostgreSQL database. This first part project is ideal for beginners in data engineering, as well as for data scientists and machine learning engineers looking to deepen their knowledge of the entire data handling process.

Kafka 73

Kafka Data Engineering Data Engineer PostgreSQL 73

Monte Carlo

MAY 20, 2024

Much like a confused tourist trying to differentiate between an alligator and a crocodile from a safe distance, you might squint at a data catalog vs. data dictionary and wonder, “Aren’t they just two boring lists of data stuff?” It is primarily concerned with the accuracy and proper usage of data at a micro level.

Datasets 52

Datasets Government Data Business Analyst 52

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. Medical data labeling.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Christophe Blefari

APRIL 14, 2023

Anyway, here the weekly Data News, written faster than usual. This is just a normal evolution of deep learning systems. Hot takes on the Modern Data Stack — Matt gives 5 hot takes about the MDS. This time he writes about the new marketing approach of the modern data stack ecosystem.

Datasets 130

Datasets Data Deep Learning SQL 130

Knowledge Hut

FEBRUARY 29, 2024

Being a data scientist means constantly growing, enabling businesses to become more data-propelled, and learning newer trends and tools. There are various excellent resources in data science that can help you to develop your skillset. So, having the right knowledge of tools and technology is important for handling such data.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

APRIL 23, 2024

In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

MAY 21, 2024

It would be helpful to know which laptops are most suited for your needs if you're a data scientist looking for the perfect one for your work. You have several options, but which is the best laptop for data science that satisfies all of your needs and demands? HP Envy 17T is a laptop designed for all your data science needs.

Data Science 98

Data Science Datasets Algorithm Electronics 98

Rockset

MARCH 28, 2024

Find an end-to-end Colab notebook that you can run without any dependencies on your local operating system: Recsys_workshop. Introduction A real-time personalized recommender system can add tremendous value to an organization by enhancing the level user engagement and ultimately increasing user satisfaction. Vector Search?

Systems 52

Systems Building Database Utilities 52

Christophe Blefari

SEPTEMBER 28, 2023

Make your data stack take-off ( credits ) Hello, another edition of Data News. This week, we're going to take a step back and look at the current state of data platforms. What are the current trends and why are people fighting around the concept of the modern data stack. Is the modern data stack dying?

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

Precisely

MAY 16, 2024

Key takeaways: The success of your AI initiatives hinges on the integrity of your data. Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. Why Does Data Integrity Matter for AI Success?

Amazon Web Services 67

Amazon Web Services AWS Data Integration Datasets 67

Azure Data Engineering

JULY 16, 2022

Web Activity is the easiest way to call any REST API endpoints within a Data Factory Pipeline. As seen in the screenshot below, the main settings for the web activity are as follows: Azure Data Factory: Web Activity URL: This is the REST API endpoint address that we would like to access/invoke.

Datasets 130

Datasets Certification Data Coding 130

LinkedIn Engineering

DECEMBER 6, 2022

With a reasonably sizable footprint of servers in data centers, LinkedIn is responsible for ensuring that these hosts are always on an operating system (OS) version deemed the ���latest and greatest��� for all intents and purposes. The existing solution had challenges with its maintainability, scalability, and high availability.

Systems 55

Systems Metadata Datasets Designing 55

Netflix Tech

OCTOBER 16, 2019

By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. One example displaying the need for dataset propagation: at any given time Netflix runs a very large number of A/B tests.

Datasets 75

Datasets Metadata Bytes Machine Learning 75

Lyft Engineering

APRIL 25, 2023

Building a large scale unsupervised model anomaly detection system — Part 2 Building ML Models with Observability at Scale By Rajeev Prabhakar , Han Wang , Anindya Saha Photo by Octavian Rosca on Unsplash In our previous blog we discussed the different challenges we faced for model monitoring and our strategy for addressing some of these problems.

Systems 75

Systems Building Machine Learning Datasets 75

Engineering at Meta

FEBRUARY 20, 2024

We’ve partnered with Voltron Data and the Arrow community to align and converge Apache Arrow with Velox , Meta’s open source execution engine. This new convergence helps Meta and the larger community build data management systems that are unified, more efficient, and composable.

Data Management 98

Data Management Bytes Management Datasets 98

Knowledge Hut

OCTOBER 4, 2023

Power BI is a popular and widely used business intelligence tool in the data world. A report from Microsoft has manifested that around 50,000 companies have been using Power BI to clean, model, transform and visualize their data. I have read that the global data sphere will hold around 80zb of data in 2021. GHz or faster.

BI 52

BI Systems Raw Data Business Intelligence 52

Databand.ai

MAY 30, 2023

6 Pillars of Data Quality and How to Improve Your Data Eric Jones May 30, 2023 What Is Data Quality? Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Monte Carlo

MAY 24, 2024

They rely on internal analytics to make data driven decisions and, as a company in a regulated industry, regularly report to government agencies. “We We take data quality very seriously,” said André Gonzalez, Data Manager, Eureciclo. “If If bad data was sent to a regulatory agency, that would create issues for us.”

Government 52

Government Data Governance Data Datasets 52

Christophe Blefari

APRIL 21, 2023

A lot of data teams embraced dbt, or at least the SQL with engineering practices to transform data in cloud data warehouses. Access — you will be able to namespace models with groups and visibility. It is interesting to read this post jointly with the future of data engineer at Meta. In dbt Core 1.5

Raw Data 130

Raw Data Data Datasets SQL 130

Data Engineering Weekly

APRIL 7, 2024

Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Ascend.io

FEBRUARY 15, 2024

A common hurdle that many data engineering teams face is how to choose the right data replication strategy. This article breaks down the complexities of data replication strategies in a way that’s easy to understand. That can include the creation of historical data that is not available in the source system.

Datasets 52

Datasets Database Data Warehouse Data 52

Data Engineering Weekly

MARCH 10, 2024

Editor’s Note: Chennai Meetup Wrap-Up & Preparation work started for DEWCon I am so grateful for the enthusiastic participants who made our Chennai Data Heroes- Community for Data Folks meetup vibrant! Big thanks to our insightful speakers, Hareshkumar Selvakumar - Talks about his work on Data Products for PayPal.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Snowflake

JANUARY 29, 2024

Imagine seamlessly integrating your Google Analytics data with Snowflake, allowing you to combine it effortlessly with other key sources like CRM, ERP, social media metrics, email campaign data, and whatever data sources compose the full scope of your data estate.

Raw Data 111

Raw Data Aggregated Data Data Cloud 111

Precisely

SEPTEMBER 25, 2023

77% of data and analytics professionals say data-driven decision-making is the top goal for their data programs. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data.

Data Validation 98

Data Validation Process Raw Data Data Cleanse 98

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

APRIL 25, 2024

The implementation of Data Science in agriculture is truly groundbreaking for farmers globally. Recent press claims that the DATOS Project used data from remote sensing along with artificial intelligence, machine learning, and other approaches to Data Science for agriculture. Are available online.

Data Science 98

Data Science Food Data Government 98

Data Engineering Weekly

MAY 5, 2024

The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset. link] LinkedIn: LakeChime - A Data Trigger Service for Modern Data Lakes LinkedIn points out two critical flaws in a partitioned approach to data management.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

Knowledge Hut

APRIL 25, 2024

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data. What Are Big Data T echnologies?

Big Data 98

Big Data Technology NoSQL Hadoop 98