DoorDash Engineering

AUGUST 1, 2023

Just when we most needed observability data, the system would leave us in the lurch. In this article, we explain how we accomplished the migration, first reviewing the challenges we faced with StatsD and then discussing how we selected and implemented Prometheus as our preferred solution.

AWS 82

AWS Transportation Programming Language Government 82

Lyft Engineering

OCTOBER 3, 2023

High-quality data is necessary for the success of every data-driven company. It is now the norm for tech companies to have a well-developed data platform. This makes it easy for engineers to generate, transform, store, and analyze data at the petabyte scale. Yet this has come at the cost of quality.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Knowledge Hut

JUNE 26, 2023

Backend projects or Backend development engineering generally involves the work around building logic on the service/server side, which mainly includes designing and building APIs(Rest, Soap or grpc), focusing on creating and optimizing databases and writing business logic for project features and requirements.

Portfolio 98

Portfolio Project Food Media 98

Knowledge Hut

MARCH 7, 2024

The Internet of Things (IoT) is changing the world by connecting devices, sensors, and data through a strong network. 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. What is IoT (Internet of Things)?

Cloud Computing 52

Cloud Computing Machine Learning Transportation Google Cloud 52

ProjectPro

JANUARY 31, 2023

Want to know who is a business intelligence engineer, what does a business intelligence engineer do, and how these BI engineers turn mountains of data into actionable insights? They are the data wizards who leverage their business acumen and technical skills to turn data into knowledge and drive business success.

Business Intelligence 52

Business Intelligence Engineering BI Data Warehouse 52

Databand.ai

AUGUST 30, 2023

Data Testing Tools: Key Capabilities and 6 Tools You Should Know Helen Soloveichik August 30, 2023 What Are Data Testing Tools? Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Pharmaceutical 98

Pharmaceutical Pipeline-centric Data Lake Data Analytics 98

DoorDash Engineering

OCTOBER 17, 2023

SRM represents one of the most egregious data quality issues in A/B tests because it fundamentally compromises the basic assumption of random assignment. The term itself conjures a sense of rigor, validity, and trust. This means there is a strong possibility that any experimental results and decisions based on them will not be valid.

Education 87

Education Kafka Algorithm Data Warehouse 87

Workfall

JANUARY 3, 2023

Reading Time: 6 minutes In our previous blog, we demonstrated How to Write Unit Tests for Angular 15 Application Using Jasmine and Enforce Code Quality in a CI Workflow With Github Actions. We looked at general unit tests involving components that receive data from services.

SQL 52

SQL Coding Data Validation Utilities 52

Monte Carlo

SEPTEMBER 8, 2023

It is driven by a data platform that uses data from all of Tenable’s vulnerability management, cloud security, identity exposure, web app scanning, and external attack surface management point products to provide cybersecurity leaders a comprehensive and contextual view of their attack surface.

Kafka 75

Kafka SQL Data Pipeline Database 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

FreshBI

MARCH 5, 2023

In a world of increasing opportunities to obtain and visualize data, it’s important to understand why business intelligence (BI) projects can fail in certain situations – especially when organizations have invested a great deal into resources. Limited or unavailable data sharing creates barriers in the way of meaningful insights.

BI 52

BI Project IT Consulting 52

Databand.ai

JUNE 28, 2023

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability. What is data pipeline observability?

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Christophe Blefari

DECEMBER 23, 2022

A gift from me to you ( credits ) Hey you, if you just subscribed yesterday to the Data News I wish you a warm welcome ❤️‍🔥 The Data News is your Friday weekly data curation in which I select for you the most interesting—according to me—data articles of the last week.

Data 100

Data Hadoop Data Engineering Data Engineer 100

Snowflake

MAY 8, 2023

Along with our Snowflake technology partners (with similar examples of innovation early last year ), we will demonstrate how they use the new get_query_operator_stats function within their respective products and further empower all of our customers for ongoing success with Snowflake.

Technology 106

Technology SQL BI Utilities 106

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. In business analytics, fire-fighting and stress are common. Analytics Hub and Spoke.

Business Analyst 98

Business Analyst Data Lake Consulting Data Analytics 98

Monte Carlo

JUNE 16, 2023

Data integrity and quality may seem similar at first glance, and they are sometimes used interchangeably in everyday life, but they play unique roles in successful data management. When data has integrity, it means it wasn’t altered during storage, retrieval, or processing without authorization.

Data Integration 52

Data Integration Hospitality Banking Healthcare 52

Data Engineering Weekly

MARCH 5, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Editor’s Note: Who Owns the Data Contract? Sign up free to test out the tool today.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1 shows the four phases of Lean DataOps.

Data Pipeline 98

Data Pipeline Data Cleanse Process Architecture 98

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction. What should I track?

Data Analytics 52

Data Analytics Manufacturing Data Process 52

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. Consider for a moment, just how much 2020 brought about for businesses to deal with. Finally, throw in the constant stream of cyberthreats out there and it’s clear that protecting your enterprise’s data is vital.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

phData: Data Engineering

OCTOBER 12, 2022

In this blog post, we’ll dive into six of the most powerful dbt Cloud features and many others that you probably don’t know about. This documentation can give different users insight into where data came from, what the profile of the data is, what the SQL looked like, and the DAG to know where the data is being used.

Cloud 52

Cloud Metadata SQL Data Warehouse 52

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

Monte Carlo

MARCH 30, 2022

Say it with me: your data will never be perfect. Any team striving for completely accurate data will be sorely disappointed. Data testing , anomaly detection, and cataloging are important steps, but technology alone will not solve your data quality problem. Like any entropic system, data breaks.

Data Warehouse 52

Data Warehouse Data Machine Learning Data Engineering 52

Edureka

FEBRUARY 18, 2023

In today’s fast-paced business world, data is essential to gain a competitive edge. BI can help organizations turn raw data into meaningful insights, enabling better decision-making, optimizing operations, enhancing customer experiences, and providing a strategic advantage. How BI Processes Data?

Business Intelligence 52

Business Intelligence BI SQL Data Analysis 52

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place. Happy following!

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

NOVEMBER 19, 2023

According to Hostinger, AI is going to create more than 133 million job opportunities by the year 2030. According to Hostinger, AI is going to create more than 133 million job opportunities by the year 2030. Data engineers design and maintain data pipelines to make data available for AI and ML apps.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Cloudera

SEPTEMBER 29, 2021

Further down south, the Australian government has set up the Digital Transformation Agency (DTA) as it works towards creating digital services that will benefit its citizens. Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises.

Medical 78

Medical Government Hospitality Electronics 78

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Databand.ai

NOVEMBER 4, 2022

Re-Imagining Data Observability Ryan Yackel 2022-11-04 10:36:35 Data observability has become one of the hottest topics of the year – and for good reason. Data observability provides an end-to-end view into exactly what’s happening with data pipelines across an organization’s data fabric.

Data 52

Data Data Pipeline Retail Metadata 52

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 106

IT Unstructured Data Data Architecture Government 106

DataKitchen

FEBRUARY 1, 2021

How do you choose a project that matters to people? DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. Your data consumers are focused on business objectives. How does that help them “evaluate a new M&A opportunity by Friday?”.

Project 98

Project Raw Data Consulting Data Science 98

Data Engineering Weekly

MARCH 26, 2023

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real time with your own JavaScript or Python code. dbt: State of Analytics Engineering dbt publishes the state of analytical [data???🤔] Go to rtasummit.com and register with DEW30 for 30% off.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

phData: Data Engineering

DECEMBER 16, 2021

In our previous blog in this series , we spent a lot of time exploring why a data catalog is valuable and who you might need to support it. With that background information in mind, we’re ready to take a look at some actual tools and properly uncover what’s the best data catalog for your business. Where is your metadata stored?

Metadata 52

Metadata Datasets ETL Tools Cloud 52

Pinterest Engineering

OCTOBER 31, 2023

In this article, we discuss the PinCompute primitives, architecture, control plane and data plane capabilities, and showcase the value that PinCompute has delivered for innovation and efficiency at Pinterest. Architecture PinCompute is a regional Platform-as-a-Service (PaaS) that builds on top of Kubernetes.

Architecture 95

Architecture Pipeline-centric Accessible Accessibility 95

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 103

Manufacturing Data Warehouse Kafka Retail 103

Knowledge Hut

OCTOBER 8, 2023

In the cloud services and data engineering space, Amazon Web Services (AWS) is the leader, with a market share of 32%. With a collection of robust tools and services that help businesses handle data at scale, AWS has become the preferred service provider for some leading internet businesses, like Facebook, Netflix, LinkedIn, Twitch, etc.

AWS 52

AWS Data Engineering Data Engineer Engineering 52