Precisely

DECEMBER 19, 2022

High quality data and analytics helps PropTech companies gain deeper context on properties and locations, build richer models with accurate information, and more. Let’s further explore the impact of data in this industry as we count down the top 5 PropTech blog posts of 2022. #5

Data Governance 52

Data Governance Retail Government High Quality Data 52

Knowledge Hut

MARCH 18, 2024

Integrated Change Control (ICC) provides a comprehensive process for reviewing, evaluating, and approving changes to project scope, schedule, and resources. In this blog, I will walk you through the definition, purpose, process, and importance of integrated change control, as well as explore the benefits and best practices associated with it.

Process 52

Process Certification Project Utilities 52

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

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.

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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

Lyft Engineering

JUNE 28, 2023

While several teams were using streaming data in their Machine Learning (ML) workflows, doing so was a laborious process, sometimes requiring weeks or months of engineering effort. On the flip side, there was a substantial appetite to build real-time ML systems from developers at Lyft.

Machine Learning 115

Machine Learning Building Metadata Kafka 115

Pinterest Engineering

SEPTEMBER 20, 2023

Our commitment is evidenced by our history of building products that champion inclusivity. We know from experience that building for marginalized communities helps make the product work better for everyone. Signal Development and Indexing The process of developing our visual body type signal essentially begins with data collection.

Building 84

Building Pipeline-centric Machine Learning Datasets 84

Scott Logic

APRIL 18, 2024

You build something! From the main IAP web app (the admin app), the user clicks a button, which sends a request to AWS CodeBuild through the SDK, triggering a build. Developers can configure build jobs, and then CodeBuild runs the build scripts, without needing to configure servers.

AWS 52

AWS Building Consulting Architecture 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

Workfall

SEPTEMBER 12, 2023

This makes it a powerful tool for building interactive and dynamic web applications that require instant data exchange between clients and servers, such as chat applications, online gaming, collaborative tools, and more. This process guarantees that everyone is informed about the departure and that the user records remain precise.

Building 89

Building MongoDB Programming Language Coding 89

Snowflake

DECEMBER 4, 2023

Snowflake’s support for Iceberg Tables is now in public preview, helping customers build and integrate Snowflake into their lake architecture. How catalog conversion works To see exactly how catalog conversion works, let’s walk through the process step-by-step. For more detailed information, please refer to our documentation.

Building 94

Building Metadata Cloud Storage AWS 94

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

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. Ensuring organizations can improve Customer satisfaction by building and maintaining positive business relationships.

Process 52

Process Certification Telecommunication Government 52

Snowflake

APRIL 20, 2023

Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions , and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection , AI assistant , and MathGPT. Join us in Vegas at our Summit to learn more.

Building 115

Building Unstructured Data Government Coding 115

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 80

Process Kafka SQL Machine Learning 80

Hevo

MAY 21, 2023

Extract, Transform, Load (ETL) is a critical process for businesses that prioritize data-driven insights. With the exponential growth of data sources and types, building and maintaining reliable data pipelines has become one of the more challenging parts of data engineering.

Building 64

Building Data Pipeline Data Engineering Data Engineer 64

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

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 Consulting Big Data Data Engineering 100

Knoldus

JANUARY 19, 2023

Reading Time: 3 minutes Dialogflow is a GCP framework that enables users to develop easy human-computer interaction technologies that can support Natural Language Processing (NLP). Basically, Dialogflow handles the job of translating natural language to machine-readable data using machine-learning models trained by your examples.

Building 52

Building Machine Learning Technology Process 52

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

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 85

Process Kafka Scala SQL 85

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

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

Christophe Blefari

APRIL 12, 2024

I've shared my journey with Apache Superset and why I consider Superset the best open-source alternative when it comes to building BI applications. Yes because you should stop building dashboard and build BI apps instead. MDS Fest 🥳 As announced last week I've participated to the MDS Fest 2.0 this Thursday.

BI 130

BI SQL Data Coding 130

Netflix Tech

OCTOBER 12, 2022

We had a fun conversation with his team, and we realized that some parts of it might make a good blog post as well. So we jointly edited a bit for length and clarity, and are posting here as well as on OfferFit’s blog. And so I did that and spent some time building out search algorithms and recommendation engines at Yelp.

Building 75

Building Designing Management Algorithm 75

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.

Process 139

Process Deep Learning Datasets Machine Learning 139

Lyft Engineering

SEPTEMBER 6, 2023

Our team, the Developer Infrastructure team, aims to build the best tools to enable microservice owners (our “customers”) to reliably and quickly test changes in a local and/or end-to-end environment. We delivered a successful 0-to-1, but now it was time to double down on this testing paradigm and build out the 1-to-10.

Building 80

Building Metadata Electronics Engineering 80

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. In this blog, we will focus on a PostgreSQL database. Handling NULL Values: We will build a CQ adapter that transforms NULL values into a float 0.0,

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

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

Data Engineering Podcast

NOVEMBER 26, 2019

In this episode James Cunningham and Ted Kaemming describe the process of rearchitecting a production system, what they learned in the process, and some useful tips for anyone else evaluating Clickhouse. What was your design criteria for building a new platform? What was your design criteria for building a new platform?

Data Warehouse 100

Data Warehouse Building PostgreSQL Kafka 100

Data Engineering Weekly

MAY 3, 2024

There is a lot of context missing in that tweet, so I decided to write a blog about it. However, modern Notebooks like Databricks seamlessly integrate with Git to build pull requests and code review processes. There is no underlying semantics for unit testing the code and data testing build-in. Where Notebook Shines?

Programming Language 117

Programming Language ETL Tools Data Pipeline Coding 117

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary.

Amazon Web Services 218

Amazon Web Services Data Pipeline Machine Learning Data Science 218

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

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

Building 93

Building Transportation Metadata Java 93

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.

Process 90

Process Coding Python Deep Learning 90

Cloudera

JULY 9, 2021

This is to be expected, given the challenges that come with classified data and operations, legacy data of uncertain location and provenance, and thorny application rationalization processes that often uncover more, unexpected data problems, among other hurdles. Learn how we can help you power public sector data transformation.

Government 108

Government Building Cloud Data Ingestion 108