DataKitchen

NOVEMBER 4, 2021

It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. Errors are caused by inconsistencies in how the analytics team applies data processes and business logic.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Precisely

DECEMBER 21, 2022

Accurate, consistent, and contextualized data enables faster, more confident decisions when it comes to your underwriting, claims processing, risk assessments, and beyond. Let’s explore the impact of data in this industry as we count down the top 5 insurance blog posts of 2022. #5

Insurance 52

Insurance Data Governance Healthcare High Quality Data 52

LinkedIn Engineering

DECEMBER 20, 2023

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. In this blog post, we discuss how we are harnessing AI to help us with abuse prevention and share an overview of our infrastructure and the role it plays in identifying and mitigating abusive behavior on our platform.

Building 91

Building Algorithm Kafka Machine Learning 91

Snowflake

DECEMBER 11, 2023

While digital advertisers and paid media professionals are on the hook to build ample sales pipeline and maximize return on ad spend (ROAS), they’re also expected to deliver personalized advertising content while navigating evolving privacy requirements and adhering to consumer expectations—all while extracting insights from siloed ad platforms.

Building 88

Building Cloud Media Algorithm 88

Knowledge Hut

JANUARY 31, 2024

Managing competing priorities, costs, risks, and responsibilities necessitates a clear process and cross-functional collaboration. This blog reflects on the SDP in ITIL. Exploring the principles, processes, and importance of ITIL service design. This article will teach us about ITIL Service Design.

Designing 52

Designing Process IT Portfolio 52

Monte Carlo

JULY 19, 2023

Building a data stack doesn’t have to be complicated. Like bean dip and ogres , layers are the building blocks of the modern data stack. Or to put it a different way, how do you deliver a data platform that drives real value for stakeholders without building a platform that’s either too complex to manage or too expensive to justify?

Building 96

Building Business Intelligence Cloud Storage BI 96

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. It involves bringing together people, processes, and technology to enable data-driven decision making and improve the efficiency of data-related workflows.

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

Knowledge Hut

JANUARY 31, 2024

To know more about ITIL standards, CMBD, and ITIL learning paths, read the blog. The service value chain is a system of six interacting components: Plan Improve Engage Design and Transition Obtain/Build Deliver and Support. It sees a business as a system of multiple sets of related components and activities that enable value creation.

Process 52

Process Certification Telecommunication Database 52

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays! Use case recap.

Process 86

Process Kafka Scala SQL 86

Snowflake

JUNE 28, 2023

At this year’s Summit, we are excited to announce a series of advancements to Snowpark runtimes and libraries, making the deployment and processing of non-SQL code in Snowflake even simpler, faster, and more secure. Snowpark — Set of libraries and runtimes for secure deployment and processing of non-SQL code on the Snowflake Data Cloud.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Databand.ai

AUGUST 30, 2023

Building a Winning Data Quality Strategy: Step by Step Eitan Chazbani August 30, 2023 What Is a Data Quality Strategy? A data quality strategy details the processes, tools, and techniques employed to ensure your company’s data is accurate, consistent, complete, and up-to-date.

Building 52

Building Data Cleanse Data Governance Datasets 52

Netflix Tech

MARCH 14, 2023

We build creator tooling to enable these colleagues to focus their time and energy on creativity. User provides a sample image to find other similar images Prior engineering work Approach #1: on-demand batch processing Our first approach to surface these innovations was a tool to trigger these algorithms on-demand and on a per-show basis.

Media 116

Media Building Algorithm Machine Learning 116

Knowledge Hut

JANUARY 30, 2024

This blog is an account of the conversation which will serve ITIL aspirants well. So, this framework provides uniform and consistent guidelines to all IT industries to define their IT Service Management processes. This version was focused on making ITIL more accessible and arranged the 30-volume framework into nine related categories.

Process 52

Process Certification Telecommunication Government 52

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

Process 81

Process Kafka SQL Machine Learning 81

FreshBI

MAY 25, 2021

Business Processing Dashboards Explained A Business Workflow is visual representation of steps through a business activity used to support and validate your Business Intelligence Objectives. Overall Business Efficiency: Business Processing Dashboards are the epitome of heightened business efficiency.

Process 52

Process Business Intelligence BI Professional Services 52

Data Engineering Podcast

DECEMBER 7, 2020

Summary Building data products are complicated by the fact that there are so many different stakeholders with competing goals and priorities. When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Building 100

Building Big Data Consulting Data Engineering 100

Cloudera

JULY 9, 2021

While certainly not a new concept, Government missions are wholly dependent on real time access/analysis of data (wherever it may be (legacy data centers or public cloud) to render insight to support operational decisions. Will it support role-based access? Have a clear understanding of data attributes: How often do you use your data?

Government 110

Government Building Cloud Data Ingestion 110

ProjectPro

FEBRUARY 16, 2023

Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job. At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. What is OpenCV Python?

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Python Process Deep Learning Algorithm 98

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. If some terminologies in the blog around Machine Learning seems unfamiliar to you, don’t worry we have the Best Data Science courses to help you out. How Does Data Labeling Work?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

Monte Carlo

JUNE 22, 2023

They combined these principles with FAIR , a popular framework in the world of pharma that stands for findability, accessibility, interoperability, and reusability. Building the platform as composable architecture Their next step was to build the product…that would be used to build data products.

Building 52

Building Data Ingestion Data Business Analyst 52

Data Engineering Podcast

APRIL 19, 2020

Summary Modern applications frequently require access to real-time data, but building and maintaining the systems that make that possible is a complex and time consuming endeavor. This was an interesting inside look at building a business on top of open source stream processing frameworks and how to reduce the burden on end users.

Building 100

Building PostgreSQL MongoDB SQL 100

Cloudera

MAY 10, 2024

Building an open data lakehouse with Iceberg delivers significant benefits increasing self-service access, ease of use, flexibility, and delivering unified security and governance for all data. It accelerates the entire data lifecycle from streaming and ingestion to processing, analytics, and AI.

Government 99

Government Data Governance Data Pipeline Big Data 99

Zalando Engineering

JUNE 30, 2020

Our Engineering Blog was launched in June 2020 after a long break of the previous tech blog. What customizations we applied to design the blog and the publishing process. Static Site Generator Our previous tech blog used a CMS which only a limited number of people had access to. It's actively developed.

Engineering 40

Engineering Bytes AWS Python 40

Monte Carlo

JANUARY 27, 2024

Building a modern data stack doesn’t have to be complicated. Like bean dip and ogres , layers are the building blocks of the modern data stack. Building for impact and scale And we won’t mention ogres or bean dip again. Cloud storage and compute Whether you’re stacking data tools or pancakes, you always build from the bottom up.

Building 52

Building Business Intelligence Cloud Storage BI 52

Striim

NOVEMBER 17, 2023

Real-time data processing in the world of machine learning allows data scientists and engineers to focus on model development and monitoring. Striim Instance: To get started, you need to have a Striim instance created and have access to it. In this blog, we will focus on a PostgreSQL database.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Data Engineering Weekly

APRIL 21, 2023

Ananth and Aswin discussed a blog from BuzzFeed that shares lessons learned from building products powered by generative AI. The blog highlights how generative AI can be integrated into a company's work culture and workflow to enhance creativity rather than replace jobs.

Building 52

Building Data Architect Education Data Engineering 52

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Available methods for text processing and which one to choose. Tools you can use to build NLP models. What is Natural Language Processing? Here are some big text processing types and how they can be applied in real life.

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Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

JUNE 20, 2023

However, to succeed in e-commerce, businesses require certain skills and tools to build and run an effective online storefront. Hence, it is recommended that you build your career with professional courses that help you acquire the necessary skills to thrive in the world of e-commerce.

Building 52

Building Media Data Analysis Certification 52

Tweag

APRIL 19, 2023

The MedTech industry is buzzing thanks to a continuous stream of innovation, promising to be more precise, efficient and accessible than ever. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. But as it turns out, we can’t use it. Image import ray.

Medical 60

Medical Process Cloud Bytes 60

Data Engineering Podcast

FEBRUARY 25, 2024

Summary Building a database engine requires a substantial amount of engineering effort and time investment. Over the decades of research and development into building these software systems there are a number of common components that are shared across implementations. Go to dataengineeringpodcast.com/dagster today to get started.

Database 162

Database Technology Data Lake High Quality Data 162

Tweag

JUNE 7, 2023

The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor. We use the operator !

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Process Coding Python Deep Learning 89

DoorDash Engineering

NOVEMBER 21, 2022

While building out DashMart’s internal inventory management system to help DashMart associates manage inventory, the DashMart engineering team came to realize that since the inventory tables were so core and foundational to different operational use cases in a DashMart, some actions or code must be triggered every time the inventory level changes.

Data Process 57

Data Process Process Kafka Database 57

Cloudera

JANUARY 20, 2021

For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. With this example as inspiration, I decided to build off of sensor data and serve results from a model in real-time. As a result, I decided to use an open-source Occupancy Detection Data Set to build this application.

Machine Learning 112

Machine Learning Database Data Science Building 112

DoorDash Engineering

DECEMBER 6, 2022

Building software today can require working on the server side and client side, but building isomorphic JavaScript libraries can be a challenge if unaware of some particular issues, which can involve picking the right dependencies and selectively importing them among others. Why build isomorphic libraries? or web browser.

Building 57

Building Coding Designing Utilities 57

Snowflake

APRIL 29, 2024

DORA: Building a More Secure Financial System DORA, enacted in January 2023, moves beyond reactive measures, requiring FEs and their service providers to proactively identify vulnerabilities, prevent disruptions and plan for swift recovery from incidents. Five Core Pillars of DORA 1.

Transportation 83

Transportation Data Governance Government Consulting 83

Data Engineering Weekly

APRIL 28, 2024

It offers more targeted and customized data asset building than the general-purpose data stack. Intuit writes about the growing data mesh strategy and the strategic focus area for building data products. I consider writing a newsletter to be a learning process. LinkedIn writes an exciting blog about what is and is not working.

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Data Engineering Data Engineer Engineering Hospitality 52