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

DataKitchen

DECEMBER 9, 2022

This can help organizations to build trust in their data-related workflows, and to drive better outcomes from their data analytics and machine learning initiatives. This can help organizations to build trust in their data-related workflows, and to drive better outcomes from their data analytics and machine learning initiatives.

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 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? This starts with building a strong business case for your data quality strategy. Some common data governance tools include data cataloging solutions, data quality monitoring tools, and data access control systems.

Building 52

Building Data Cleanse Data Governance Datasets 52

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. Building a data lake infrastructure is a highly beneficial endeavor, not just for the immediate use of data, but also for its potential to foster the growth of analytics across the organization.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

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

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

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 108

Government Building Cloud Data Ingestion 108

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

Data Engineering Podcast

JANUARY 23, 2022

He also provides some excellent insights into the factors that play into the build vs. buy decision at different organizational sizes. With complete API access, a user-friendly interface, and automated yet flexible alerting, you’ve got everything you need to establish and maintain trust in your data.

Building 100

Building Management Data Pipeline Metadata 100

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

AUGUST 26, 2019

Summary Data engineers are responsible for building tools and platforms to power the workflows of other members of the business. Each group of users has their own set of requirements for the way that they access and interact with those platforms depending on the insights they are trying to gather.

Building 100

Building Data Analytics Media Data Engineering 100

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

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

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. Example Operations . Put Operations.

Machine Learning 131

Machine Learning Data Science Database Building 131

nodeSWAT

MARCH 30, 2016

Most web applications rely on some sort of access control to keep users from accessing information not meant for them. If authentication is a lock on the main door of the hotel, then access control is the individual access card they give to each user for accessing their room. So let’s get started.

Accessible 52

Accessible Accessibility Systems Database 52

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

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 111

Machine Learning Database Data Science Building 111

Data Engineering Podcast

MAY 19, 2019

Summary In recent years the traditional approach to building data warehouses has shifted from transforming records before loading, to transforming them afterwards. The data build tool (dbt) is designed to bring battle tested engineering practices to your analytics pipelines. When is it the wrong choice?

Data Analytics 100

Data Analytics Building Engineering Data Warehouse 100

LinkedIn Engineering

MARCH 21, 2023

That’s why we believe a skills-first approach to hiring talent will help companies gain access to wider talent pools to find the skilled workers their businesses need, especially in sectors that are aggressively looking for talent.

Building 85

Building Recruitment Machine Learning Deep Learning 85

Palantir

FEBRUARY 10, 2022

That’s why Palantir is committed to making Foundry as intuitive and accessible as possible — not only for data scientists and engineers, but also for sales, product development, recruiting, and more. We believe the best way to accelerate towards this vision is to empower the thousands of developers that build on Foundry every day.

Building 52

Building Recruitment Data Pipeline Designing 52

Snowflake

JULY 27, 2023

In this guest blog post, HomeToGo’s director of data, Stephan Claus, explains why the company migrated to Snowflake to meet its data needs. Founded in 2014, the company’s vision is to make incredible homes easily accessible to everyone. This article is based on Stephan’s presentation during the Snowflake Data World Tour 2022.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Christophe Blefari

APRIL 5, 2024

On my side I'll talk about Apache Superset and what you can do to build a complete application with it. How we built Text-to-SQL at Pinterest — Pinterest open-sourced a tool called Querybook that they used to access Pinterest data every day. This week they released a new open model that performs great.

SQL 130

SQL Data Python Datasets 130

Cloudera

FEBRUARY 8, 2021

Continuing from my previous blog post about how awesome and easy it is to develop web-based applications backed by Cloudera Operational Database (COD), I started a small project to integrate COD with another CDP cloud experience, Cloudera Machine Learning (CML). . App Serving – Build and Serve Custom applications for ML use-cases.

Building 71

Building Machine Learning Database Algorithm 71

Engineering at Meta

OCTOBER 23, 2023

To optimize build and performance, we developed our own build system called Buck , which was first open-sourced in 2013. In our internal tests at Meta, we observed that Buck2 completed builds approximately 2x as fast as Buck1. Meta has a very large monorepo, with many different programming languages.

Programming Language 109

Programming Language Java Python Programming 109

Cloudera

OCTOBER 6, 2020

It offers multi-modal client access with NoSQL key-value using Apache HBase APIs and relational SQL with JDBC (via Apache Phoenix). The latter makes COD accessible to developers who are used to building applications that use MySQL, Postgres, etc. Auto-tune – better performance within the existing infrastructure footprint.

Database 79

Database Building Bytes NoSQL 79

Monte Carlo

AUGUST 15, 2022

No matter how you cut it, you don’t have an instruction manual, and given how fast the data landscape is evolving, it’s hard to find (let alone follow) best practices for building a data team from scratch. At the end of the day, our job is to make data as accessible and easy-to-understand as possible. And much more.

Building 52

Building Business Intelligence Finance Database 52

Cloudera

APRIL 23, 2024

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today. appeared first on Cloudera Blog.

Machine Learning 84

Machine Learning Data Science Retail Consulting 84

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. These features further enhance the protection of customers’ sensitive data.

Transportation 82

Transportation Data Governance Government Consulting 82

Scott Logic

APRIL 22, 2024

Large-model AI is becoming more and more influential in the market, and with the well-known tech giants starting to introduce easy-access AI stacks, a lot of businesses are left feeling that although there may be a use for AI in their business, they’re unable to see what use cases it might help them with. Responsible use is key.

BI 97

BI Software Engineer Software Engineering Algorithm 97

Snowflake

MAY 2, 2024

We have more than 540 providers, offering over 2,400 live, ready-to-use data products (as of Jan 31, 2024), so there are many options to help you enrich your own data resources, build new data apps and leverage the power of AI on Snowflake. You’ll need to get access to a role with provider privileges. Then, consider access.

Electronics 81

Electronics Media Accessible Accessibility 81

Pinterest Engineering

FEBRUARY 22, 2024

In this blog post, we share our journey of unlocking AI-assisted development, from the initial idea to the General Availability (GA) stage. The first decision we had to make was build versus buy. To learn more about engineering at Pinterest, check out the rest of our Engineering Blog and visit our Pinterest Labs site.

Scala 78

Scala Engineering Software Engineer Software Engineering 78

Snowflake

FEBRUARY 21, 2024

Customers are simplifying their architectures by using Hybrid Tables for a variety of use cases, including storing app and workflow state, serving data and building lightweight transactional applications. Indexes provide fast lookups for common access paths. Row locking facilitates high-concurrency random writes. What’s next?

Government 98

Government AWS Data Architect Architecture 98

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. Blogs KDnuggets: It is one of the compelling and regularly updated sites for blogs on analytics, Data Science, Big Data and machine learning. It offers various blogs based on above mentioned technology in alphabetical order.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Cloudera

MARCH 22, 2024

On top of that, this solid base is crucial for effectively harnessing the power of enterprise AI and generative AI, enabling your organization to build and scale advanced AI apps with confidence. It’s important to note that this limited RHEL mirror is exclusively accessible for Cloudera deployments on public cloud.

Cloud 110

Cloud Certification Systems Architecture 110

Data Engineering Weekly

APRIL 14, 2024

With the 1-bit LLM model, the researchers are suggesting instead of FP16 (Full Precision floating-point number with 5-bits) or FP32 (Full Precision floating-point number with 6-bits), you can build an equally efficient model using ternary digit set ∈ {-1, 0, 1}. It's a good read that familiarizes you with the LakeHouse formats.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

Data Engineering Weekly

DECEMBER 3, 2023

Github writes an excellent blog to capture the current state of the LLM integration architecture. The blog is an excellent read to understand late-arriving data, backfilling, and incremental processing complications. The author explores the current complication of accessing blob storage and what can be improved to optimize the access.

Data Engineering 70

Data Engineering Data Engineer Engineering Bytes 70

Snowflake

FEBRUARY 22, 2024

It makes creativity, personalization and experimentation easy and accessible to all marketers. Building customer relationships: The solution helps marketers build brand equity by using the AI tool to create memorable, personalized and newly creative customer experiences.

Technology 87

Technology Machine Learning Utilities Designing 87