KDnuggets

JULY 1, 2023

Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume.

Analytics 296

Analytics Analytics Data Engineer Data Engineering 296

AWS Machine Learning Blog

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. For queries earning negative feedback, less than 1% involved answers or documentation deemed irrelevant to the original question.

AWS 116

AWS AI AI Machine Learning 116

AWS Machine Learning Blog

NOVEMBER 20, 2024

In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. Create and load sample data In this post, we use two sample datasets: a total sales dataset CSV file and a sales target document in PDF format.

Database 113

Database AWS SQL ETL 113

AWS Machine Learning Blog

SEPTEMBER 3, 2024

collect() Next, you can visualize the size of each document to understand the volume of data you’re processing. You can generate charts and visualize your data within your PySpark notebook cell using static visualization tools like matplotlib and seaborn. latest USER root RUN dnf install python3.11 python3.11-pip

AWS 117

AWS Clustering Big Data Big Data 117

phData

JULY 19, 2024

This article was co-written by Lawrence Liu & Safwan Islam While the title ‘ Machine Learning Engineer ’ may sound more prestigious than ‘Data Engineer’ to some, the reality is that these roles share a significant overlap. Generative AI has unlocked the value of unstructured text-based data.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

AWS Machine Learning Blog

APRIL 3, 2025

When needed, the system can access an ODAP data warehouse to retrieve additional information. Document management Documents are securely stored in Amazon S3, and when new documents are added, a Lambda function processes them into chunks.

AWS 76

AWS Data Governance Data Silos SQL 76

ODSC - Open Data Science

DECEMBER 11, 2024

In a recent episode of ODSCs Ai X Podcast , we were privileged to discuss this dynamic area with Tamer Khraisha, a seasoned financial data engineer and author of the recent book Financial Data Engineering. The Role of AI in Financial Engineering AI is set to play a transformative role in financial data engineering.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Data Science Blog

SEPTEMBER 19, 2023

For Data Warehouse Systems that often require powerful (and expensive) computing resources, this level of control can translate into significant cost savings. Streamlined Collaboration Among Teams Data Warehouse Systems in the cloud often involve cross-functional teams — data engineers, data scientists, and system administrators.

Data Warehouse 259

Data Warehouse Azure SQL Database 259

AWS Machine Learning Blog

NOVEMBER 10, 2023

With Amazon SageMaker Canvas , you can create predictions for a number of different data types beyond just tabular or time series data without writing a single line of code. These capabilities include pre-trained models for image, text, and document data types. For a list of supported entities, refer to Entities.

Machine Learning 122

Machine Learning Machine Learning ML ML 122

Dataconomy

JANUARY 15, 2025

Place them in a shared document. If your database administrator has the utmost confidence in the data engineer and vice versa due to their continuous professional growth, then team members will be apt to interact and work more closely together. Present formal long- and short-term objectives and goals.

Database Administration 91

Database Administration Database Data Analyst Data Scientist 91

AWS Machine Learning Blog

FEBRUARY 25, 2025

This post shows how to configure an Amazon Q Business custom connector and derive insights by creating a generative AI-powered conversation experience on AWS using Amazon Q Business while using access control lists (ACLs) to restrict access to documents based on user permissions. Who are the data stewards for my proprietary database sources?

AWS 94

AWS AI AI Natural Language Processing 94

Towards AI

NOVEMBER 8, 2024

This post dives into key steps for preparing data to build real-world ML systems. Data ingestion ensures that all relevant data is aggregated, documented, and traceable. Connecting to Data: Data may be scattered across formats, sources, and frequencies. Join thousands of data leaders on the AI newsletter.

ML 111

ML ML Data Preparation Data Engineer 111

ODSC - Open Data Science

MARCH 22, 2024

Be sure to check out his talk, “ Building Data Contracts with Open Source Tools ,” there! Data engineering is a critical function in all industries. However, data engineering grows exponentially as the company grows, acquires, or merges with others. He is passionate about software engineering and all things data.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Flipboard

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. As a Data Engineer he was involved in applying AI/ML to fraud detection and office automation.

K-nearest Neighbors 169

K-nearest Neighbors AWS Clustering Database 169

AWS Machine Learning Blog

DECEMBER 4, 2024

To generate a useful response, the chat would need to reference different data sources, including the unstructured documents in your knowledge base (such as policy documentation about what causes an account suspension) and structured data such as transaction history and real-time account activity.

ML 96

ML ML AWS AI 96

ODSC - Open Data Science

JANUARY 4, 2024

Trending Data Engineering Topics, the Top AI News from 2023, and Mapping Out the Top Open-Source LLM Frameworks 10 Data Engineering Topics and Trends You Need to Know in 2024 Let’s dive in and explore 10 data engineering trends that are expected to shape the industry in 2024 and beyond.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Flipboard

JUNE 16, 2023

These vary from challenges in getting data, maintaining various data forms and kinds, and coping with inconsistent data quality to the crucial need for current information. To train language models specifically for the banking industry, proprietary models like BloombergGPT have used their exclusive access to specialized data.

Natural Language Processing 182

Natural Language Processing Artificial Intelligence Artificial Intelligence Data Quality 182

Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. OUR PRODUCT IS OPEN-SOURCE AND USED AT ENTERPRISE SCALE Our distributed data engine Daft [link] is open-sourced and runs on 800k CPU cores daily.

ML 130

ML ML Python ETL 130

AWS Machine Learning Blog

AUGUST 14, 2024

You can use the Amazon Q Business ServiceNow Online data source connector to connect to the ServiceNow Online platform and index ServiceNow entities such as knowledge articles, Service Catalogs, and incident entries, along with the metadata and document access control lists (ACLs).

AWS 119

AWS AI AI Clustering 119

DagsHub

MARCH 21, 2024

Key Metrics Annotation Time Reduction : Reduced document annotation time by 75%. Operational Speed : Accelerated data processing pipeline, achieving a 50% increase in data processing speed. Their primary challenges included: Data inconsistencies from non-standardized documentation.

Data Engineer 69

Data Engineer Data Engineering Data Engineering Data Engineering 69

AWS Machine Learning Blog

FEBRUARY 21, 2025

The agent knowledge base stores Amazon Bedrock service documentation, while the cache knowledge base contains curated and verified question-answer pairs. For this example, you will ingest Amazon Bedrock documentation in the form of the User Guide PDF into the Amazon Bedrock knowledge base. This will be the primary dataset.

AWS 121

AWS Natural Language Processing Machine Learning Machine Learning 121

Smart Data Collective

JUNE 20, 2022

When data leaders move to the cloud, it’s easy to get caught up in the features and capabilities of various cloud services without thinking about the day-to-day workflow of data scientists and data engineers.

Data Engineering 145

Data Engineering Data Engineering Data Engineer Data Engineering 145

phData

MARCH 8, 2023

It allows organizations to easily connect their disparate data sources without having to manage any infrastructure. Fivetran’s automated data movement platform simplifies the ETL (extract, transform, load) process by automating most of the time-consuming tasks of ETL that data engineers would typically do.

Data Warehouse 96

Data Warehouse Data Engineer Data Engineering Data Engineering 96

Towards AI

JANUARY 28, 2024

Here’s how we created the transactions table in Snowflake in our Jupyter Notebook: Next, we generated the Customers table: These snippets illustrate creating a new table in Snowflake and then inserting data from a Pandas DataFrame. You can visit Snowflake’s API Documentation for more detailed examples and documentation.

ETL 111

ETL Python Database Data Preparation 111

ODSC - Open Data Science

AUGUST 11, 2023

This session will also include a practical demonstration of advanced techniques for different types of data. These solutions are based on Bayesian statistical models and include robust, privacy-preserving spatial models, probabilistic insights, and novel visualizations.

Machine Learning 98

Machine Learning Machine Learning Data Science Data Scientist 98

IBM Journey to AI blog

FEBRUARY 26, 2024

With data lineage, every object in the migrated system is mapped and dependencies are documented. MANTA customers have used data lineage to complete their migration projects 40% faster with 30% fewer resources. Trust and data governance Data governance isn’t new, especially in the financial world.

Data Pipeline 112

Data Pipeline Data Engineer Data Engineering Data Engineering 112

IBM Journey to AI blog

OCTOBER 14, 2024

Just last month, Salesforce made a major acquisition to power its Agentforce platform—just one in a number of recent investments in unstructured data management providers. “Most data being generated every day is unstructured and presents the biggest new opportunity.” What should their next steps be?

AI 78

AI AI Database Data Engineering 78

phData

NOVEMBER 6, 2023

Consider the below diagram: Figure 1: HR Chatbot Pipeline with RAG Instead of just directly prompting the LLM , we provide our IT chatbot with our organization’s unique document data to consider before responding. Build a Knowledge Repository Start by gathering all the dynamic data sources your system needs.

Database 98

Database AI AI Artificial Intelligence 98

AWS Machine Learning Blog

MARCH 1, 2023

Solution overview Amazon Comprehend is a fully managed service that uses natural language processing (NLP) to extract insights about the content of documents. MLOps focuses on the intersection of data science and data engineering in combination with existing DevOps practices to streamline model delivery across the ML development lifecycle.

Data Lakes 97

Data Lakes AWS ML ML 97

DagsHub

AUGUST 2, 2023

This is how we came up with the Data Engine - an end-to-end solution for creating training-ready datasets and fast experimentation. Let’s explain how the Data Engine helps teams do just that. With Data Engine, ML teams can collect new data points to their storage of choice and add them into their Datasource.

ML 52

ML ML Data Engineer Data Engineering 52

AWS Machine Learning Blog

OCTOBER 9, 2024

To start using OpenSearch for anomaly detection you first must index your data into OpenSearch , from there you can enable anomaly detection in OpenSearch Dashboards. To learn more, see the documentation. To learn more, see the documentation. To learn more, see the documentation.

AWS 92

AWS ML ML Data Quality 92

IBM Data Science in Practice

JANUARY 13, 2025

These new components separate and modularize the logic of data handling vs orchestrating. Instead, it automatically decides the chunk size based on the number of documents and other parameters. It defines an execution plan and prepares the data processing. The Slicer removes the need for manual splitting of huge files.

ETL 100

ETL Data Pipeline Database Data Warehouse 100

AWS Machine Learning Blog

JUNE 20, 2024

The question is sent through a retrieval-augmented generation (RAG) process, which finds similar documents. Each document holds an example question and information about it. The relevant documents are built as a prompt and sent to the LLM, which builds a SQL statement.

SQL 111

SQL Database AWS Machine Learning 111

AWS Machine Learning Blog

DECEMBER 1, 2023

As we continue to innovate to increase data science productivity, we’re excited to announce the improved SageMaker Studio experience, which allows users to select the managed Integrated Development Environment (IDE) of their choice, while having access to the SageMaker Studio resources and tooling across the IDEs.

ML 124

ML ML Machine Learning Machine Learning 124

Kaggle

JULY 29, 2020

In August 2019, Data Works was acquired and Dave worked to ensure a successful transition. David: My technical background is in ETL, data extraction, data engineering and data analytics. For each query, an embeddings query identifies the list of best matching documents.

ETL 71

ETL Data Scientist Machine Learning Machine Learning 71

AWS Machine Learning Blog

JULY 10, 2024

Amazon Q can also help employees do more with the vast troves of data and information contained in their company’s documents, systems, and applications by answering questions, providing summaries, generating business intelligence (BI) dashboards and reports, and even generating applications that automate key tasks.

AWS 138

AWS AI Machine Learning Machine Learning 138

ODSC - Open Data Science

AUGUST 15, 2023

Transformers for Document Understanding Vaishali Balaji | Lead Data Scientist | Indium Software This session will introduce you to transformer models, their working mechanisms, and their applications.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52