Precisely

JANUARY 19, 2023

In 2023 and beyond, we expect the open source trend to continue, with steady growth in the adoption of tools like Feilong, Tessla, Consolez, and Zowe. In 2023, expect to see broader adoption of streaming data pipelines that bring mainframe data to the cloud, offering a powerful tool for “modernizing in place.”

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Alation

APRIL 14, 2023

So, how can a data catalog support the critical project of building data pipelines? In his talk, Mitesh revealed that Alation delivers useful information about data via metadata, and explored why context is key to building reliable data pipelines.

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ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. However, each year the skills and certainly the platforms change somewhat.

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phData

JULY 29, 2023

Operational Risks identify operational risks such as data loss or failures in the event of an unforeseen outage or disaster. Performance Optimization identify and fix bottlenecks in your data pipelines so that you can get the most out of your Snowflake investment.

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phData

MARCH 31, 2023

Explore phData Toolkit The post phData Toolkit March 2023 Update appeared first on phData. We encourage you to spend a few minutes browsing the apps and tools available in the phData Toolkit today to set yourself up for success in 2022. Be sure to follow: this series for more updates on the phData Toolkit tools and features.

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DagsHub

SEPTEMBER 10, 2023

Intermediate Data Pipeline : Build data pipelines using DVC for automation and versioning of Open Source Machine Learning projects. For that, DagsHub added Audio capabilities, enabling you to see its spectrogram, wave, and even listen to it!

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Towards AI

MARCH 21, 2023

Last Updated on March 21, 2023 by Editorial Team Author(s): Data Science meets Cyber Security Originally published on Towards AI. Navigating the World of Data Engineering: A Beginner’s Guide. A GLIMPSE OF DATA ENGINEERING ❤ IMAGE SOURCE: BY AUTHOR Data or data? What are ETL and data pipelines?

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ODSC - Open Data Science

AUGUST 11, 2023

Orchestrating Data Assets instead of Tasks, with Dagster Sandy Ryza | Lead Engineer — Dagster Project | Elementl Asset-based orchestration works well with modern data stack tools like dbt, Meltano, Airbyte, and Fivetran, because those tools already think in terms of assets.

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PyImageSearch

JANUARY 15, 2024

Home Table of Contents Adversarial Learning with Keras and TensorFlow (Part 2): Implementing the Neural Structured Learning (NSL) Framework and Building a Data Pipeline Adversarial Learning with NSL CIFAR-10 Dataset Configuring Your Development Environment Need Help Configuring Your Development Environment? We open our config.py

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ODSC - Open Data Science

DECEMBER 14, 2023

Data Engineering vs Machine Learning Pipelines This tutorial explores the differences between how machine learning and data pipelines work, as well as what is required for each. Here are 7 AI trends that we think will define the landscape over the next year.

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phData

NOVEMBER 28, 2023

In July 2023, Matillion launched their fully SaaS platform called Data Productivity Cloud, aiming to create a future-ready, everyone-ready, and AI-ready environment that companies can easily adopt and start automating their data pipelines coding, low-coding, or even no-coding at all.

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phData

MARCH 18, 2024

product_id product_name category price update_date 1 MacBook Air (15-inch, M2, 2023) Computers & Accessories $999 June 13, 2023 In the product table, we have a product, MacBook Air (15-inch, M2, 2023), and the price is $999 as of June 13, 2023. SCD Type 1 In this type, changes overwrite the existing data.

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Data Warehouse SQL Data Pipeline Analytics 52

Flipboard

SEPTEMBER 25, 2023

Y Combinator Photo) Seattle-area startups that just graduated from Y Combinator’s summer 2023 batch are tackling a wide range of problems — with plenty of help from artificial intelligence. Neum AI at its core is an enabler for generative AI applications by helping connect data into vector databases and making it accessible for RAG.

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phData

MAY 3, 2024

What is Apache Kafka, and How is it Used in Building Real-time Data Pipelines? It is capable of handling high-volume and high-velocity data. Apache Kafka is an open-source event distribution platform. It is highly scalable, has high availability, and has low latency.

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PyImageSearch

MARCH 20, 2023

Jump Right To The Downloads Section Training and Making Predictions with Siamese Networks and Triplet Loss In the second part of this series, we developed the modules required to build the data pipeline for our face recognition application. Figure 1: Overview of our Face Recognition Pipeline (source: image by the author).

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Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. We sketch out ideas in notebooks, build data pipelines and training scripts, and integrate with a vibrant ecosystem of Python tools.

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Heartbeat

NOVEMBER 6, 2023

Image Source —  Pixel Production Inc In the previous article, you were introduced to the intricacies of data pipelines, including the two major types of existing data pipelines. You might be curious how a simple tool like Apache Airflow can be powerful for managing complex data pipelines.

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Ocean Protocol

DECEMBER 27, 2022

Congratulations to all the winners and kudos to all the participants for the entries — We appreciate your submissions and look forward to seeing many more entries in 2023. Introducing the winners of the ETH price prediction Data Challenge: Edition 2!

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Ocean Protocol

JANUARY 17, 2024

We launched Predictoor and its Data Farming incentives in September & November 2023, respectively. Flows We released pdr-backend when we launched Predictoor in September 2023, and have been continually improving it since then: fixing bugs, reducing onboarding friction, and adding more capabilities (eg simulation flow).

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ODSC - Open Data Science

FEBRUARY 14, 2023

Getting into Data Engineering Joe Reis | CEO | Ternary Data Perfect for those interested in getting into data engineering, this talk covers the key questions you should answer when embarking on a data engineering career. Joe Reis addresses the current economic climate in 2023 in particular.

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Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Data Science in Practice

MARCH 8, 2023

Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem. A feature platform should automatically process the data pipelines to calculate that feature. Spark, Flink, etc.)

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Flipboard

FEBRUARY 13, 2023

Project Structure Creating Our Configuration File Creating Our Data Pipeline Preprocessing Faces: Detection and Cropping Summary Citation Information Building a Dataset for Triplet Loss with Keras and TensorFlow In today’s tutorial, we will take the first step toward building our real-time face recognition application. The dataset.py

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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Towards AI

OCTOBER 4, 2023

Last Updated on October 6, 2023 by Editorial Team Author(s): ????Mike Advanced-Data Engineering and ML Ops with Infrastructure as Code This member-only story is on us. Mike Shakhomirov Originally published on Towards AI. Upgrade to access all of Medium.

Machine Learning 59

Machine Learning Machine Learning AWS ML 59

Precisely

NOVEMBER 9, 2023

According to the 2023 Data Integrity Trends and Insights Report , data quality is the #1 barrier to achieving data integrity. And poor address quality is the top challenge preventing business leaders from effectively using location data to add context and multidimensional value to their decision-making processes.

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Dataconomy

MAY 16, 2023

Key skills and qualifications for machine learning engineers include: Strong programming skills: Proficiency in programming languages such as Python, R, or Java is essential for implementing machine learning algorithms and building data pipelines.

Data Scientist 156

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phData

MARCH 22, 2023

Top Use Cases of Snowpark With Snowpark, bringing business logic to data in the cloud couldn’t be easier. Transitioning work to Snowpark allows for faster ML deployment, easier scaling, and robust data pipeline development. ML Applications For data scientists, models can be developed in Python with common machine learning tools.

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Precisely

JANUARY 18, 2024

In fact, in a 2023 BMC survey , 92% of respondents said they see the mainframe as a platform for long-term growth and new workloads. Customers can build new channels, offload processing, and drive business insights and intelligence with data analytics and data lakes.

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Flipboard

MARCH 6, 2023

In the previous tutorial of this series, we built the dataset and data pipeline for our Siamese Network based Face Recognition application. Specifically, we looked at an overview of triplet loss and discussed what kind of data samples are required to train our model with the triplet loss. What's next? Raha, and A. Thanki, eds.,

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ODSC - Open Data Science

JUNE 19, 2023

It is the preferred operating system for data processing heavy operations for many reasons (more on this below). Around 70 percent of embedded systems use this OS and the RTOS market is expected to grow by 23 percent CAGR within the 2023–2030 forecast period, reaching a market value of over $2.5

Big Data 96

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phData

SEPTEMBER 7, 2023

We encourage you to spend a few minutes browsing the apps and tools available in the phData Toolkit today to set yourself up for success in 2023. Explore the phData Toolkit The post phData Toolkit August 2023 Update appeared first on phData. Be sure to follow this series for more updates on the phData Toolkit tools and features.

SQL 52

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phData

JUNE 26, 2023

We encourage you to spend a few minutes browsing the apps and tools available in the phData Toolkit today to set yourself up for success in 2023. Explore phData Toolkit The post phData Toolkit June 2023 Update appeared first on phData. Be sure to follow: this series for more updates on the phData Toolkit tools and features.

SQL 52

SQL Data Profiling Data Pipeline Data Governance 52

Towards AI

FEBRUARY 25, 2023

Last Updated on March 1, 2023 by Editorial Team Author(s): Samuel Van Ackere Originally published on Towards AI. It provides a Web-based user interface for creating, managing, and monitoring data flow and a range of pre-built connectors and processors for performing data processing tasks.

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The MLOps Blog

JANUARY 23, 2023

Dolt LakeFS Delta Lake Pachyderm Git-like versioning Database tool Data lake Data pipelines Experiment tracking Integration with cloud platforms Integrations with ML tools Examples of data version control tools in ML DVC Data Version Control DVC is a version control system for data and machine learning teams.

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phData

MARCH 1, 2023

This allows you to perform tasks such as ensuring data quality against data sources (once or over time), compare data metrics and metadata across environments, and create/manage data pipelines for all your tables and views. We look forward to hearing from all of you and to what 2023 brings!

SQL 52

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phData

JANUARY 10, 2024

Please spend a few minutes browsing the apps and tools available in the phData Toolkit today to set yourself up for success in 2023. Explore the phData Toolkit The post phData Toolkit December 2023 Update appeared first on phData. Be sure to follow this series for more updates on the phData Toolkit tools and features.

Data Warehouse 52

Data Warehouse Data Profiling Data Pipeline Database 52

ODSC - Open Data Science

FEBRUARY 24, 2023

Great Expectations provides support for different data backends such as flat file formats, SQL databases, Pandas dataframes and Sparks, and comes with built-in notification and data documentation functionality. At ODSC East 2023, we have a number of sessions related to data visualization and data exploration tools.

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