ODSC - Open Data Science

SEPTEMBER 29, 2023

Data management problems can also lead to data silos; disparate collections of databases that don’t communicate with each other, leading to flawed analysis based on incomplete or incorrect datasets. One way to address this is to implement a data lake: a large and complex database of diverse datasets all stored in their original format.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. Due to these needs, hybrid cloud data lakes emerged as a logical middle ground between the two consumption models. earthquake, flood, or fire), where the data collected does not need to be as tightly controlled.

Data Lakes 52

Data Lakes Cloud Data AWS Tableau 52

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

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

Dataconomy

FEBRUARY 26, 2025

Each component contributes to the overall goal of extracting valuable insights from data. Data collection This involves techniques for gathering relevant data from various sources, such as data lakes and warehouses. Accurate data collection is crucial as it forms the foundation for analysis.

Data Mining 91

Data Mining Data Mining Data Mining Data Preparation 91

ODSC - Open Data Science

FEBRUARY 15, 2024

The Future of the Single Source of Truth is an Open Data Lake Organizations that strive for high-performance data systems are increasingly turning towards the ELT (Extract, Load, Transform) model using an open data lake. See them here!

Data Lakes 52

Data Lakes Data Visualization Machine Learning Machine Learning 52

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

Dataconomy

MAY 26, 2025

AI integration: Employing artificial intelligence for automation in response to unexpected events. Diagnostic analytics Diagnostic analytics focuses on understanding the causes behind past events. It analyzes data to uncover reasons for occurrences, closely related to descriptive analytics for a comprehensive view.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

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

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

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

Flipboard

NOVEMBER 27, 2024

Foundation models (FMs) on Amazon Bedrock provide powerful generative models for text and language tasks.

AWS 148

AWS Database ML ML 148

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

AWS Machine Learning Blog

APRIL 3, 2025

Amazon AppFlow was used to facilitate the smooth and secure transfer of data from various sources into ODAP. Additionally, Amazon Simple Storage Service (Amazon S3) served as the central data lake, providing a scalable and cost-effective storage solution for the diverse data types collected from different systems.

AWS 86

AWS Data Governance Data Silos SQL 86

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

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

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

ODSC - Open Data Science

APRIL 25, 2025

The two most prominent implementations are dbt Model Contracts , and the Open Data Contract Standard (ODCS, not to be confused withODSC. Sample dbt ModelContract Essentially, both solutions are JSON schema (widely used in APIs and event models), and thankfully, expressed in YAML for the ease of human typing.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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

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

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

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

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

phData

JUNE 11, 2025

Depending on the requirement, it is important to choose between transient and permanent tables, as well as data recovery needs and downtime considerations. Implement scripts or workflows to automatically tag new resources based on predefined criteria or events, reducing manual effort and ensuring timely and accurate cost attribution.

Clustering 59

Clustering SQL Database Data Lakes 59

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

DataRobot Blog

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. 2) When data becomes information, many (incremental) use cases surface.

Data Lakes 52

Data Lakes Azure Data Pipeline Hadoop 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

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