ODSC - Open Data Science

JUNE 1, 2023

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Well, these libraries will give you a solid start.

Data Lakes 52

Data Lakes ML ML Citizen Data Scientist 52

ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s a use case of how you can use a real-time analytics stack to build a pizza delivery service.

Data Lakes 52

Data Lakes ML ML Analytics 52

Smart Data Collective

AUGUST 17, 2022

You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. It will enable you to quickly transform and load the data results into Amazon S3 data lakes or JDBC data stores.

Apache Kafka 130

Apache Kafka ETL Data Lakes AWS 130

AWS Machine Learning Blog

OCTOBER 20, 2023

Data and governance foundations – This function uses a data mesh architecture for setting up and operating the data lake, central feature store, and data governance foundations to enable fine-grained data access. This framework considers multiple personas and services to govern the ML lifecycle at scale.

ML 135

ML ML AWS Data Lakes 135

Data Science Dojo

SEPTEMBER 11, 2024

With this full-fledged solution, you don’t have to spend all your time and effort combining different services or duplicating data. Overview of One Lake Fabric features a lake-centric architecture, with a central repository known as OneLake.

Power BI 222

Power BI Data Pipeline Data Warehouse Data Engineering 222

Dataconomy

FEBRUARY 14, 2025

AI-driven revenue optimization The new system enables hoteliers to manage pricing dynamically , making data-driven adjustments across rooms, event spaces, and F&B outlets. “Our new RMS empowers revenue managers to evolve into strategic decision-makers, effectively translating data into tangible financial outcomes.”

Data Lakes 91

Data Lakes AI AI Deep Learning 91

ODSC - Open Data Science

SEPTEMBER 12, 2023

Although setting up a database to run your analyses may seem like an arduous task, modern open-source time series databases can provide significant benefits to any scientist running time series analysis on a large data set — and with much less effort than you might imagine. Interested in attending an ODSC event?

Data Scientist 97

Data Scientist Database Data Lakes Data Science 97

AWS Machine Learning Blog

SEPTEMBER 27, 2024

Recent events including Tropical Cyclone Gabrielle have highlighted the susceptibility of the grid to extreme weather and emphasized the need for climate adaptation with resilient infrastructure. The model is then trained using a fully managed infrastructure, validated, and published to the Amazon SageMaker Model Registry.

AWS 122

AWS Data Lakes ML ML 122

Smart Data Collective

AUGUST 9, 2019

Even Forbes Tech Council has written about the benefits of data lakes in Fortnite. The game’s parent company, Epic Games, processes millions of events each minute, and its mountain of data grows steadily. Processing and analyzing this data — petabytes worth — must happen somewhere.

Big Data 97

Big Data Big Data Data Lakes Machine Learning 97

AWS Machine Learning Blog

FEBRUARY 21, 2025

If the question was Whats the schedule for AWS events in December?, AWS usually announces the dates for their upcoming # re:Invent event around 6-9 months in advance. our solution would provide the verified re:Invent dates to guide the Amazon Bedrock agents response with additional context.

AWS 126

AWS Natural Language Processing Machine Learning Machine Learning 126

Dataconomy

SEPTEMBER 4, 2023

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them. Ensure that data is clean, consistent, and up-to-date.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

AWS Machine Learning Blog

NOVEMBER 6, 2024

response = bedrock_runtime.invoke_model_with_response_stream(**kwargs) stream = response.get('body') if stream: for event in stream: chunk = event.get('chunk') if chunk: print(json.loads(chunk.get('bytes')).get('completion'), Import the dependencies and create the Amazon Bedrock client: import boto3, json bedrock_runtime = boto3.client(

AWS 121

AWS Python Machine Learning Machine Learning 121

AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

AWS 112

AWS ML ML Machine Learning 112

ODSC - Open Data Science

MAY 7, 2024

Beyond his technical achievements, James is a sought-after speaker and is a prolific voice in the data community through his blog, JamesSerra.com. James Serra discusses data lakehouses, which merge data lakes and data warehouses. It lets you store a wide variety of data in a cost-effective way, like a data lake.

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

Alation

FEBRUARY 13, 2020

It is about hurricanes and big events like the California wildfires, but it is also about complex things like satellite launches, for example, or big building projects. A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives.

Data Lakes 52

Data Lakes Analytics Analytics Data Engineering 52

Smart Data Collective

AUGUST 7, 2019

New England College talks in detail about the role of big data in the field of business. They have highlighted some of the biggest applications, as well as some of the precautions businesses need to take, such as navigating the death of data lakes and understanding the role of the GDPR. Customer data platform.

Analytics 111

Analytics Analytics Big Data Big Data 111

AWS Machine Learning Blog

AUGUST 13, 2024

Whenever a new form is loaded, an event is invoked in Amazon SQS. As healthcare organizations continue to digitize their operations, such AI-powered solutions can play a crucial role in improving data management, maintaining compliance, and ultimately enhancing patient care through better insights and decision-making.

AWS 132

AWS Data Lakes Machine Learning Machine Learning 132

Precisely

JUNE 24, 2024

They are working through organizational design challenges while also establishing foundational data management capabilities like metadata management and data governance that will allow them to offer trusted data to the business in a timely and efficient manner for analytics and AI.”

Analytics 94

Analytics Analytics Data Governance Data Lakes 94

AWS Machine Learning Blog

DECEMBER 20, 2023

A novel approach to solve this complex security analytics scenario combines the ingestion and storage of security data using Amazon Security Lake and analyzing the security data with machine learning (ML) using Amazon SageMaker. Store new security logs in an S3 bucket and queue events in Amazon Simple Queue Service (Amazon SQS).

AWS 134

AWS ML ML Algorithm 134

AWS Machine Learning Blog

JUNE 20, 2024

Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. The data is stored in a data lake and retrieved by SQL using Amazon Athena.

SQL 116

SQL Database AWS Machine Learning 116

IBM Journey to AI blog

MAY 9, 2023

We continue to gather high-quality data to help tackle some of the most pressing business challenges across a range of domains like finance, law, cybersecurity, and sustainability. Our work in this area includes FairIJ , which identifies biased data points in data used to tune a model, so that they can be edited out.

AI 139

AI AI Data Quality Data Lakes 139

Smart Data Collective

OCTOBER 26, 2019

While there is more of a push to use cloud data for off-site backup , this method comes with its own caveats. In the event of a network shutdown or failure, it may take much longer to restore functionality (and therefore connection) to a cloud-hosted off-site backup. Big Data Storage Concerns.

Big Data 67

Big Data Big Data Data Lakes Cloud Data 67

AWS Machine Learning Blog

MARCH 30, 2023

How Keeper Efficiency is implemented This Bundesliga Match Fact consumes both event and positional data. Positional data is information gathered by cameras on the positions of the players and ball at any moment during the match (x-y coordinates), arriving at 25Hz.

Machine Learning 101

Machine Learning Machine Learning AWS ML 101

AWS Machine Learning Blog

APRIL 18, 2023

With the recently launched Amazon Monitron Kinesis data export v2 feature , your OT team can stream incoming measurement data and inference results from Amazon Monitron via Amazon Kinesis to AWS Simple Storage Service (Amazon S3) to build an Internet of Things (IoT) data lake. Choose Create delivery stream.

AWS 94

AWS ML ML Database 94

AWS Machine Learning Blog

FEBRUARY 21, 2025

Despite the benefits of this architecture, Rocket faced challenges that limited its effectiveness: Accessibility limitations: The data lake was stored in HDFS and only accessible from the Hadoop environment, hindering integration with other data sources. This also led to a backlog of data that needed to be ingested.

Data Science 80

Data Science AWS Hadoop Data Scientist 80

Pickl AI

JULY 30, 2024

Flow-Based Programming : NiFi employs a flow-based programming model, allowing users to create complex data flows using simple drag-and-drop operations. This visual representation simplifies the design and management of data pipelines. Guaranteed Delivery : NiFi ensures that data delivered reliably, even in the event of failures.

ETL 52

ETL Data Lakes Big Data Big Data 52

ODSC - Open Data Science

FEBRUARY 15, 2024

Data Pipeline Architecture — Stop Building Monoliths Elliott Cordo | Founder, Architect, Builder | Datafutures Although common, data monoliths present several challenges, especially for larger teams and organizations that allow for federated data product development. Interested in attending an ODSC event?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

JANUARY 30, 2024

This is a pretty important job as once the data has been integrated, it can be used for a variety of purposes, such as: Reporting and analytics Business intelligence Machine learning Data mining All of this provides stakeholders and even their own teams with the data they need when they need it.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Towards AI

FEBRUARY 13, 2023

Buy Your Data Warehouse (5 Key Factors) Nishith Agarwal, the Head of Data and ML Platforms at Lyra Health and the creator of Apache Hudi, draws on his experiences at both Uber and Lyra Health to present five considerations that impact the decision to build or buy the data warehouse, data lake, and data lakehouse layers of a data stack.

AI 98

AI AI Data Warehouse Data Lakes 98

AWS Machine Learning Blog

NOVEMBER 22, 2023

Set up regular game days to test workload and team responses to simulated events. Learn from all operational failures – Drive improvement through lessons learned from all operational events and failures. By centralizing datasets within the flywheel’s dedicated Amazon S3 data lake, you ensure efficient data management.

AWS 120

AWS ML ML Machine Learning 120

ODSC - Open Data Science

JULY 22, 2023

Expo Hall ODSC events are more than just data science training and networking events. Thank you to everyone who attended for making this event possible, and showing once again why we do what we do — connecting the greater data science community together to push the industry forward. What’s next?

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

Alation

DECEMBER 14, 2021

How do you provide access and connect the right people to the right data? AWS has created a way to manage policies and access, but this is only for data lake formation. What about other data sources? In summary, AWS powers next-generation analytics with the best of both data lakes and purpose-built data stores.

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

ODSC - Open Data Science

DECEMBER 19, 2023

Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. They use their knowledge of data warehousing, data lakes, and big data technologies to build and maintain data pipelines. Interested in attending an ODSC event?

Data Scientist 96

Data Scientist Machine Learning Machine Learning AI 96

phData

APRIL 29, 2024

Recognizing these specific needs, Fivetran has developed a range of connectors, including dedicated applications, databases, files, and events, which can accommodate the diverse formats used by healthcare systems. Addressing these needs may pose challenges that lead to the implementation of custom solutions rather than a uniform approach.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

AWS Machine Learning Blog

FEBRUARY 7, 2025

Data Governance Account This account hosts data governance services for data lake, central feature store, and fine-grained data access. The lead data scientist approves the model locally in the ML Dev Account. Follow the sample code to run an ML experiment pipeline using data stored in an S3 bucket.

ML 65

ML ML Data Scientist AWS 65

AWS Machine Learning Blog

JUNE 12, 2024

Examples include seasonality, marketing promotions, pricing, and in-stock availability for retail sales, or temperature, length of daylight, or special events for utility demand. Local, regional, and world factors such as commodity prices, financial markets, and events such as COVID-19 can also change demand trajectory.

ML 127

ML ML AWS Data Lakes 127

AWS Machine Learning Blog

DECEMBER 18, 2023

The triggers need to be scheduled to write the data to S3 at a period frequency based on the business need for training the models. Prior joining AWS, as a Data/Solution Architect he implemented many projects in Big Data domain, including several data lakes in Hadoop ecosystem.

Clustering 123

Clustering AWS Database ML 123