Data Engineering Podcast

JANUARY 30, 2022

Finally, if you have existing workflows in AbInitio, Informatica or other ETL formats that you want to move to the cloud, you can import them automatically into Prophecy making them run productively on Spark. Create your free account today at dataengineeringpodcast.com/prophecy. Pandas is a tool that spans data processing and data science.

Data Engineering 100

Data Engineering Data Engineer Engineering Data Pipeline 100

Knowledge Hut

NOVEMBER 27, 2023

You can then start coding on Jupyter notebooks, a terrific way to code and store your projects with output. Kaggle allows users to work with other users, find and publish datasets, use GPU-integrated notebooks, and compete with other data scientists to solve data science challenges. You will see what I mean when you will use Jupyter.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Snowflake

JUNE 28, 2023

The end-to-end process requires collaboration across many data, engineering and business teams in order to capitalize on the value that can be captured from AI-powered insights. GPUs), helps increase the speed of development and the ability to deploy sophisticated apps such as hosted Notebooks and LLMs via Snowflake Native Apps.

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Pipeline-centric Programming Language Python Government 57

Cloudera

JANUARY 30, 2019

Western Union and IQVIA to name just a couple — CDSW is now also ready to help Hortonworks customers accelerate the delivery of new data products through secure, collaborative data science at scale. Share insights and visualizations from reproducible, collaborative research. Sound familiar?

Data Science 72

Data Science Machine Learning Scala Government 72

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. Jupyter Notebook: With Jupyter Notebooks, you can interactively explore data with MongoDB — run code with graphics rendering, execute queries, plots, etc.,

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Data Engineering Weekly

SEPTEMBER 24, 2023

Learn from today's top data leaders and architects at The Data Observability Summit on how to build more trustworthy and reliable data & AI products with the latest technologies, processes, and strategies shaping our industry (yes, LLMs will be on the table). era with automation, collaboration, and AI.

Data Engineering 67

Data Engineering Data Engineer Engineering Kafka 67

Knowledge Hut

NOVEMBER 17, 2023

Teamwork: AI projects often demand collaboration with diverse teams, including data scientists, engineers, and business analysts. Online Communities: Join online AI communities, such as Kaggle and Stack Overflow, to learn from and collaborate with experts. What's relevant today might be obsolete tomorrow.

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Deep Learning Data Science Machine Learning Certification 52

Data Engineering Podcast

NOVEMBER 23, 2020

He also shares how his own product is designed and the challenges that are involved in building a system to help data engineers manage the complexity of a data platform. He also shares how his own product is designed and the challenges that are involved in building a system to help data engineers manage the complexity of a data platform.

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Hadoop Data Pipeline BI Data 100

Knowledge Hut

DECEMBER 22, 2023

Collaboration: Learn to work effectively in teams, as data science often involves collaborative projects with diverse stakeholders. Some offer great productivity and performance to process significant amounts of data, making them better suitable for data science. Statistics are important for analyzing and interpreting the data.

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Portfolio Data Science Programming Language Scala 98

Snowflake

AUGUST 8, 2023

Snowflake recently announced a collaboration with NVIDIA to make it easy to run NVIDIA accelerated computing workloads directly within Snowflake accounts. And they generally know little to nothing about your specific company, your policies, your products, or your customers.

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Generalist Data Ingestion SQL Technology 75

Snowflake

JUNE 27, 2023

These types of modern data products frequently deal with massive amounts of proprietary data. To make it easier to bring full-stack apps, LLMs and other sophisticated data products to the data securely, Snowpark Container Services, now in private preview.

Scala 61

Scala Programming Language Data Science Python 61

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. While car companies lowered costs using mass production, companies in 2021 put data engineers and data scientists on the assembly line. Collaboration across complex sets of people, technology and environments. Low error rates.

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Engineering Raw Data SQL Data Engineering 62

Booking.com Engineering

DECEMBER 2, 2022

We take advantage of this feature in our ad bidding systems, maintaining consistent data views from our Account Specialists’ spreadsheets, to our Data Scientists’ notebooks, to our bidding system’s in-memory data. We like to thank the fantastic teams at Google, for their collaboration and partnership with us.

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Systems Cloud MySQL Relational Database 52

Knowledge Hut

MARCH 26, 2024

Start by exploring its website to understand its mission, values, products or services, and recent achievements. Strong communication skills demonstrate your ability to collaborate, communicate effectively, and build rapport with colleagues and clients.

Transportation 52

Transportation Portfolio Certification Media 52

Knowledge Hut

NOVEMBER 28, 2023

Analyzing and improving the performance of computer systems Maintaining existing programs Developing code for updating and patching Creating operational manuals Collaborating with other members of the team to identify potential areas for product improvement Preparing progress reports The following list is not intended to be exhaustive.

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Amazon Web Services Portfolio Programming Language Java 52

Knowledge Hut

JUNE 19, 2023

Statistically, 75% of districts use more than 26 software products and the number is rising significantly. Create a space where students can also collaborate and share their ideas. Give your students access to the Google Classroom and allow them to do collaborative work on a project.

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Education Technology Coding Computer Science 52

Pinterest Engineering

OCTOBER 31, 2023

This includes features like per container updates, managed sidecars, data persistence, failovers, and more that allow PinPod to be easily leveraged as a building block under various production scenarios at Pinterest. PinPod functions as a general purpose compute unit and is currently serving Jupyter Notebook for Pinterest developers. (2)

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Architecture Pipeline-centric Accessible Accessibility 96

Knowledge Hut

MARCH 29, 2024

You can autoscale your workloads and collaborate on shared projects in an interactive Azure Databricks workspace. Below are some features of Azure Databricks : Collaborative & Interactive Workspace - With Azure Databricks you can quickly explore data and share insights, build models collaboratively.

Data Lake 52

Data Lake Scala Machine Learning SQL 52

Monte Carlo

APRIL 24, 2023

A notebook-based environment allows data engineers, data scientists, and analysts to work together seamlessly, streamlining data processing, model development, and deployment. The added structure and governance from Dataplex makes BigLake an intriguing data lakehouse option as well.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

SEPTEMBER 26, 2023

Born out of the minds behind Apache Spark, an open-source distributed computing framework, Databricks is designed to simplify and accelerate data processing, data engineering, machine learning, and collaborative analytics tasks. It also offers a library system for managing dependencies and sharing code across different notebooks and projects.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Data Engineering Podcast

SEPTEMBER 17, 2023

In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data. What is JSON-LD?

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Building BI SQL Python 189

Data Engineering Podcast

JULY 30, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack Modern data teams are using Hex to 10x their data impact. Hex combines a notebook style UI with an interactive report builder. The Machine Learning Podcast helps you go from idea to production with machine learning.

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SQL Machine Learning Python Data 130

Data Engineering Podcast

JULY 23, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack Modern data teams are using Hex to 10x their data impact. Hex combines a notebook style UI with an interactive report builder. The Machine Learning Podcast helps you go from idea to production with machine learning.

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Building SQL Machine Learning Data Ingestion 130

Data Engineering Podcast

SEPTEMBER 24, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack This episode is brought to you by Datafold – a testing automation platform for data engineers that finds data quality issues before the code and data are deployed to production. With Materialize, you can! Hex brings everything together.

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BI SQL Machine Learning Python 147

ProjectPro

FEBRUARY 11, 2021

The final output of an ML engineering is a working software product ( not the visualizations or analytical insights created along the way), and the “audience” for this output are other software pieces that run with minimal or no human intervention. What does a machine learning engineer do?

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

François Nguyen

APRIL 29, 2021

Using this definition from the Jupyter website , a “notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. It is highly probable that the notebook way will become a possibility and you will still keep the old stuff.

BI 130

BI SQL Data Data Science 130

Snowflake

NOVEMBER 1, 2023

Since then, we’ve significantly opened up the ways Snowflake’s platform, including its elastic compute engine can be used to accelerate the path from AI/ML development to production. Ask the Community The post Build and deploy ML with ease Using Snowpark ML, Snowflake Notebooks, and Snowflake Feature Store appeared first on Snowflake.

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Building Python SQL Programming Language 103

Zalando Engineering

SEPTEMBER 20, 2017

Through the Partner Program, brands and retailers can integrate their own e-commerce stock into the Zalando Fashion Store and ship their products directly from their own warehouse to Zalando customers. However, bigger partners still sell their products via different channels and prefer full flexibility for their inventory.

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Algorithm Retail Data Science Programming 40

Pinterest Engineering

OCTOBER 17, 2023

As we expanded the use cases of Warden throughout Pinterest, we started to collaborate more and more with data scientists who would like to use Warden to analyze their data. What’s the Problem? Despite the many useful features of the Warden platform, a requirement emerged.

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Algorithm Java Python Software Engineer 87

Ascend.io

AUGUST 18, 2023

Jupyter Notebooks have fundamentally revolutionized how data scientists approach their tasks. Yet, there’s an interest in putting notebooks directly into production environments. This not only jeopardizes the integrity and robustness of production environments but also compounds challenges for both data scientists and engineers.

Data Pipeline 52

Data Pipeline Programming Language Data Science Coding 52

ThoughtSpot

JUNE 26, 2023

What does that look like from a product perspective? The integration of Mode will greatly accelerate and expand ThoughtSpot’s data workspace with its world-class SQL IDE and connected Python and R notebooks for advanced analysis. Enhanced collaboration. Advanced data visualization. AI-powered exploration for data teams.

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BI Business Intelligence Datasets Government 80

ProjectPro

AUGUST 16, 2021

Data Mining Project on Sentiment Analysis For eCommerce websites like Amazon, Flipkart, eBay, Alibaba, the customers’ feedback on all the products is crucial. They motivate a more significant number of customers by convincing them that the products are worth the price. How do you present a data mining project?

Data Mining 40

Data Mining Coding Project Datasets 40

Knowledge Hut

JANUARY 16, 2024

Serving as a crucial intermediary, they facilitate collaboration between data scientists shaping models and the technical professionals implementing and managing the models. Best measures to avoid bottlenecks and designing the final product such that it is user-friendly. Its productivity is higher than its other counterparts.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

SEPTEMBER 16, 2021

87% of Data Science Projects never make it to production - VentureBeat According to an analytics firm, Cognilytica, the MLOps market is anticipated to be worth $4 billion by end of 2025. Jobs over the next decade will be built on top of Data Science, but for production. 1) Perfect Project Structure – Cookiecutter & readme.so

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Project Amazon Web Services Machine Learning Data Science 52

Knowledge Hut

DECEMBER 7, 2023

However, the journey from conceptualizing an AI project to putting it into production is not straightforward. To comprehend the process from conception to production, let's dive into these steps. Scaling: Prepare the model for production by ensuring it can handle real-time data and traffic.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

Knowledge Hut

NOVEMBER 28, 2023

Data.world Data.world is developed on the idea that if we could bring together people with different perspectives and skills to collaborate on datasets from around the world, we can make considerable progress in making data of all kinds available at any time. A configurable, no-setup Jupyter Notebooks environment is available on Kaggle.

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Datasets Data Science Project Banking 96

Data Engineering Podcast

JUNE 11, 2021

Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams. Can you start by giving an overview of the tools and products that are offered as part of Google Cloud for data and analytics? How has your work with customers fed back into the products that you are building on top of?

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Google Cloud Cloud Big Data Ecosystem BI 100