Cloudera

AUGUST 17, 2023

Machine Learning (ML) is at the heart of the boom in AI Applications, revolutionizing various domains. From powering intelligent Large Language Model (LLM) based chatbots like ChatGPT and Bard , to enabling text-to-AI image generators like Stable Diffusion , ML continues to drive innovation.

Manufacturing 70

Manufacturing Finance Python Banking 70

Monte Carlo

MAY 16, 2024

It can come from your data sources, transformation code, or ELT systems. On the other hand, we know not every table is created equal and that ad-hoc report you “whipped up real quick” for Bob in marketing 3 years ago probably doesn’t need the same level of attention as those feeding your ML models.

Datasets 52

Datasets Data Finance AWS 52

Knowledge Hut

MAY 2, 2024

Most of the production-grade and large clusters use YARN and Mesos as the resource manager. Reusability: Spark code once written for batch processing jobs can also be utilized for writing processed on Stream processing and it can be used to join historical batch data and stream data on the fly. A typical ML pipeline looks like this.

Scala 52

Scala Hospitality Healthcare Retail 52

Data Engineering Weekly

FEBRUARY 18, 2024

Benn Stancil: The problem was the product - How the modern data stack got lost Generated via DallE-3 The week is full of retrospect for the Modern Data Stack :-) The author shares a unique point of view on how the lack of collaboration among the MDS companies leads to its loss of popularity. Aswin and I started DEWCon as a fun experiment.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Towards Data Science

APRIL 6, 2023

Unit tests, which assess small pieces of code for performance on discrete, deterministic tasks, get overwhelmed by the variety of acceptable shapes and values that real-world data can take. Table lineage (code relationships) What tables are upstream? When tables are not healthy, all downstream applications require a critical eye.

Unstructured Data 82

Unstructured Data Metadata Data Coding 82

Snowflake

JUNE 27, 2023

Containers have emerged as the modern approach to package code in any language to ensure portability and consistency across environments, especially for sophisticated AI/ML models and full-stack data-intensive apps. These types of modern data products frequently deal with massive amounts of proprietary data.

Scala 61

Scala Programming Language Data Science Python 61

Monte Carlo

NOVEMBER 27, 2023

The answer today is the same as it was then: improve data product reliability by getting full context and visibility into your data systems. Perhaps the best way to think about it is to consider AI another data product and data observability as the living, breathing system that monitors ALL of your data products.

Unstructured Data 59

Unstructured Data Data Pipeline Data Banking 59

Ripple Engineering

MARCH 30, 2023

Summary Managing the entire lifecycle of a machine learning (ML) model from inception to deployment in production can be a daunting task involving multiple systems and lots of moving parts. The specific Kubernetes clusters we deploy on our ML services were chosen as they are supported fully by our security and platform teams.

Machine Learning 98

Machine Learning AWS Metadata Data Collection 98

Data Engineering Podcast

NOVEMBER 13, 2022

Summary CreditKarma builds data products that help consumers take advantage of their credit and financial capabilities. In this episode Vishnu Venkataraman shares the journey that he and his team have taken to build and evolve their systems and improve the product offerings that they are able to support. In fact, while only 3.5%

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

Data Engineering Weekly

MARCH 19, 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. link] Sanjeev Mohan: What Exactly is a Data Product? Is chatGPT a data product? Is Data a product? What is Data Product, indeed?

Data Engineering 57

Data Engineering Data Engineer Engineering Media 57

AltexSoft

JUNE 29, 2021

For example, Netflix takes advantage of ML algorithms to personalize and recommend movies for clients, saving the tech giant billions. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The focus here is on engineering, not on building ML algorithms.

Machine Learning 105

Machine Learning Engineering Algorithm Programming Language 105

Monte Carlo

APRIL 9, 2024

A simple coding or schema change can wreak havoc on an organization. Let’s say this company’s annual revenue was $65M, and they leveraged 6,000 tables for the ML model alone, a team of 4 ML data engineers, and a high data dependence. A developer released something on a Friday afternoon and within three hours reverted the code.

Data 52

Data Data Engineering Data Engineer Media 52

Snowflake

SEPTEMBER 28, 2023

Dataiku (AI & Machine Learning) Dataiku offers processing flexibility with its ML model management capabilities and cloud-optimised, enterprise-ready AI solutions, which lets technical and non-technical users build, deploy and monitor data science projects.

Government 85

Government Data Integration Machine Learning Technology 85

Christophe Blefari

SEPTEMBER 28, 2023

Like data workflows are always failing, are always late —Identify why workflows fails, data contracts might help to bring consensus as code if it fails because of upstream producers, create metrics about failure or latency aim for a 30-days streak with no issues. But you should temper your excitation. Good data layers are a good start.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

Scott Logic

APRIL 22, 2024

Several of the tech giants are quietly developing powerful and user-friendly tools to do just that; we recently attended a workshop run by Amazon, to show off some of their products in this area and get hands-on experience of some of AWS’s preview capabilities. Generative BI? Is this AI for the regular business user? Have Amazon succeeded?

BI 97

BI Software Engineer Software Engineering Algorithm 97

Monte Carlo

MARCH 28, 2024

Similar to how DevOps applies CI/CD to software development and operations, DataOps entails a CI/CD-like, automation-first approach to building and scaling data products. DevOps engineers remove silos between software developers (Dev) and operations (Ops) teams as they facilitate the seamless and reliable release of software to production.

Data Pipeline 52

Data Pipeline Coding Machine Learning Data Warehouse 52

Data Engineering Podcast

JULY 10, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Engineering Weekly

AUGUST 20, 2023

🌐 Tickets are selling fast; use the code DATAHERO for a special discount. link] Microsoft: Fundamentals of building with LLMs: Question & answer on any document with ChatGPT in 30 lines of code! Though LLM is hotly debated, many companies are still trying to figure out how LLM can help to improve their product experience.

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

Engineering at Meta

OCTOBER 18, 2023

Fueling the success of these products are world-class infrastructure teams, including Meta’s custom AI silicon team, led by Olivia Wu, a leader in the silicon industry for 30 years. OW: MTIA v1 is Meta’s first generation ML accelerator. This brings us a lot of opportunities to create products tailored for each need.

Designing 117

Designing Deep Learning Media Architecture 117

Monte Carlo

MARCH 18, 2024

While developing an ML model for financial incentives at the New York Times, the discussion was raised about the ethical implications of a machine learning model that could determine discounts. On its face, an ML model for discount codes seemed like a pretty innocuous request all things considered.

Building 64

Building Healthcare Data Database 64

Engineering at Meta

AUGUST 7, 2023

Meta’s production engineers (PEs) are specialized software engineers (SWEs) who focus on reliability, efficiency, and scalability. They work on various projects, including debugging production services, rewriting inefficient libraries, orchestrating project deployments at scale, or capacity planning and scheduling.

Python 85

Python Coding Project Engineering 85

Netflix Tech

OCTOBER 27, 2021

Open-Sourcing a Monitoring GUI for Metaflow, Netflix’s ML Platform tl;dr Today, we are open-sourcing a long-awaited GUI for Metaflow. It allows data scientists to define ML workflows, test them locally, scale-out to the cloud, and deploy to production in idiomatic Python code.

Python 89

Python Machine Learning Data Science Metadata 89

RandomTrees

JANUARY 5, 2024

These techniques include machine learning (ML), knowledge graphs, rules, optimizations, and natural language processing. In order to get AI systems into production, practitioners must operationalize AI. As soon as AI systems get released to production or live environments, they are “operationalized.” Data Ownership.

Algorithm 52

Algorithm Business Analyst High Quality Data Portfolio 52

Cloudera

APRIL 9, 2021

Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. The ML Challenge. The ML Solution. Second, CML seamlessly integrates with the rest of the Cloudera Data Platform to provide end-to-end ML workflows. Security & Governance.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Data Engineering Weekly

FEBRUARY 19, 2023

Netflix: Scaling Media Machine Learning at Netflix Netflix writes about media machine learning infrastructure and media-focused ML infrastructure to reduce the time from ideation to productization for media ML practitioners. Seeing a pattern similar to Data Mart emerging in ML infrastructure is interesting.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Edureka

APRIL 17, 2024

So far, these generative AI tools can produce text, images, music, audio, videos, and code. Generative AI tools work by using a machine learning (ML) model. Content creation: AI tools can write insightful blogs, social media posts, and product descriptions. How Does Generative AI Tool Work?

Healthcare 40

Healthcare Retail Media Entertainment 40

Knowledge Hut

DECEMBER 6, 2023

B.Tech but since no coding experience is required, the field is open for all. ML is an application of Artificial Intelligence in which experts create self-learning systems that progress on their own without the need for programming. Product Manager Browsing the best career options for commerce students ?

Programming Language 52

Programming Language Data Cleanse Computer Science Education 52

Christophe Blefari

JANUARY 14, 2023

df = pl.read_csv("lost-objects-stations.csv", sep=";") Then you can use the same code as pandas to select the data (head, ["col"], etc.). df = pl.read_csv("lost-objects-stations.csv", sep=";") Then you can use the same code as pandas to select the data (head, ["col"], etc.).

Python 130

Python Kafka Data Scala 130

Monte Carlo

MARCH 25, 2024

Time and again, data leaders regaled stories of how their critical dashboards broke the morning of an executive meeting or their ML model generated inaccurate predictions. Releasing new products by building solutions for pipeline runtime optimization with Performance product and ad-hoc data analysis Data Explorer.

MySQL 64

MySQL Government Data Governance Kafka 64

Snowflake

AUGUST 16, 2023

At Snowflake Summit, we announced a wave of product innovations: Snowpark ML Modeling API, Snowflake Native App Framework, Dynamic Tables and more. Using just a few lines of SQL (or Snowpark Python), you can build continuous pipelines with just a few lines of code. If you missed out, not to worry! Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

AltexSoft

AUGUST 25, 2021

Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Sentiment analysis helps brands learn what the audience or employees think of their company or product, prioritize customer service tasks, and detect industry trends. Text classification.

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

MARCH 29, 2024

Apple has a reputation for producing many inventions, and many people view its products as status symbols. Role and Responsibilities of Software Engineers at Apple A software Engineer will be in charge of creating, maintaining, and debugging internal software that runs on numerous Apple products in this ability.

Software Engineer 52

Software Engineer Software Engineering Process Engineering 52

Knowledge Hut

DECEMBER 28, 2023

RPA Developer is in high demand for various reasons, including lower costs, increased speed, accuracy, consistency, quality improvements, and production flexibility. RPA developers are in charge of performing diagnostics on all products to make sure they are of the required quality.

Business Analyst 52

Business Analyst Computer Science Programming Language Certification 52

Knowledge Hut

JANUARY 18, 2024

At the same time, computer science has traditionally focused on algorithms, coding, and software[development processes, data science focuses on extracting meaning from data using systematic methods. Python is known for its simple syntax, easy readability, and code portability. It is among the top programming languages for data science.

Programming Language 98

Programming Language Data Science Programming Scala 98

Engineering at Meta

MARCH 20, 2024

People who use our products and services experience a range of network conditions – some have really great networks, while others are using throttled or low-bandwidth networks. AV1 has a set of coding tools—palette mode and intra-block copy—that drastically improve performance for screen content.

Algorithm 88

Algorithm Manufacturing Media Coding 88

ProjectPro

SEPTEMBER 30, 2021

Most software applications today have sophisticated machine learning algorithms in action behind the scenes - Welcome to the world of MLOps that makes these ML models successful in production. It aims to shorten the development process involving designing, production, testing, and operation. It brings us to the concept of MLOps.

Machine Learning 52

Machine Learning Algorithm Software Engineer Software Engineering 52

ThoughtSpot

JULY 18, 2023

For example, we recently announced our acquisition of Mode —a flexible, code-first approach for data teams. We’re going through Google Cloud generative AI certifications and using Google Cloud’s models, like PaLM 2, and tooling to tune our own product with a singular goal: bringing AI-Powered Analytics to every organization.

Google Cloud 84

Google Cloud Cloud BI Data Security 84