Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. OneLake is designed to store a single copy of data in a unified location, leveraging the open-source Apache Parquet format.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

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

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

SEPTEMBER 12, 2023

Most data scientists are familiar with the concept of time series data and work with it often. The time series database (TSDB) , however, is still an underutilized tool in the data science community. Typically, time series analysis is performed either on CSV files or data lakes.

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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.

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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.

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Analytics Analytics Data Analysis Data Analysis 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. Instead, use Prefect where interactive workflows are now natively supported. See them here!

Data Lakes 52

Data Lakes Data Visualization Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 18, 2024

They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable. These professionals will work with their colleagues to ensure that data is accessible, with proper access. So let’s go through each step one by one, and help you build a roadmap toward becoming a data engineer.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

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.

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AWS Data Lakes ML ML 119

ODSC - Open Data Science

MAY 7, 2024

Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Beyond his technical achievements, James is a sought-after speaker and is a prolific voice in the data community through his blog, JamesSerra.com. Interested in attending an ODSC event?

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

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.

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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?

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Data Scientist Machine Learning Machine Learning Computer Science 96

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.

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Analytics Analytics Big Data Analytics Big Data Analytics 203

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.

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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 112

SQL Database AWS Machine Learning 112

ODSC - Open Data Science

JULY 22, 2023

The week was filled with engaging sessions on top topics in data science, innovation in AI, and smiling faces that we haven’t seen in a while. Expo Hall ODSC events are more than just data science training and networking events. You can read the recap here and watch the full keynote here. What’s next?

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Apache Kafka Machine Learning Machine Learning Data Science 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

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 Engineering Data Engineering Data Engineer 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 Engineering Data Engineer Data Engineering 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 Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 7, 2025

Data science teams often face challenges when transitioning models from the development environment to production. Usually, there is one lead data scientist for a data science group in a business unit, such as marketing. ML Dev Account This is where data scientists perform their work.

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ML ML Data Scientist AWS 63

The MLOps Blog

JUNE 27, 2023

With built-in components and integration with Google Cloud services, Vertex AI simplifies the end-to-end machine learning process, making it easier for data science teams to build and deploy models at scale. Metaflow Metaflow helps data scientists and machine learning engineers build, manage, and deploy data science projects.

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Machine Learning Machine Learning ML ML 134

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).

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ODSC - Open Data Science

JULY 14, 2023

Time Series Forecasting for Managers — All Forecasts Are Wrong but Some Are Useful Tanvir Ahmed Shaikh | Data Strategist (Director) | Genentech, Inc Time series forecasting remains an under-appreciated technique in data science education, often overshadowed by more popular machine learning methods.

Machine Learning 52

Machine Learning Machine Learning Apache Kafka Data Science 52

ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform. Interested in attending an ODSC event?

AI 52

AI AI Data Science Machine Learning 52

ODSC - Open Data Science

OCTOBER 3, 2024

Building an Effective OSS Management Layer for Your Data Lake Ahead of her ODSC West session on OSS management layers, the speaker discusses how data lakes can benefit from this system.

Data Science 40

Data Science Data Lakes Data Scientist AI 40

Pickl AI

FEBRUARY 21, 2023

Businesses require Data Scientists to perform Data Mining processes and invoke valuable data insights using different software and tools. What is Data Mining and how is it related to Data Science ? What is Data Mining? Why is Data Mining Important? Let’s learn from the following blog!

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Data Mining Data Mining Data Mining Data Scientist 52

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. Storage Solutions: Secure and scalable storage options like Azure Blob Storage and Azure Data Lake Storage.

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Azure Data Scientist Data Science Machine Learning 52

AWS Machine Learning Blog

MARCH 8, 2023

Manager Data Science at Marubeni Power International. Data collection and ingestion The data collection and ingestion layer connects to all upstream data sources and loads the data into the data lake. This construct provides a fully event-driven workflow. He holds a Ph.D.

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AWS Machine Learning Machine Learning Analytics 98

ODSC - Open Data Science

OCTOBER 15, 2023

Institute of Analytics The Institute of Analytics is a non-profit organization that provides data science and analytics courses, workshops, certifications, research, and development. The courses and workshops cover a wide range of topics, from basic data science concepts to advanced machine learning techniques.

Machine Learning 52

Machine Learning Machine Learning Data Pipeline AI 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

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.

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ODSC - Open Data Science

AUGUST 7, 2023

Databricks Databricks is the developer of Delta Lake, an open-source project that brings reliability to data lakes for machine learning and other cases. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

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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.

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IBM Journey to AI blog

MAY 9, 2023

We are also building models trained on different types of business data, including code, time-series data, tabular data, geospatial data and IT events data. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments.

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AI AI Data Warehouse Machine Learning 110

AWS Machine Learning Blog

JANUARY 13, 2023

Amazon Simple Storage Service (Amazon S3) object storage acts as a content data lake. TR built processes to securely access data from the content data lake to users’ experimentation workspaces while maintaining required authorization and auditability.

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ML ML AWS Data Scientist 96