phData

SEPTEMBER 26, 2023

Sources The sources involved could influence or determine the options available for the data ingestion tool(s). These could include other databases, data lakes, SaaS applications (e.g. Salesforce), Access databases, SharePoint, or Excel spreadsheets. Data flows from the current data platform to the destination.

SQL 52

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

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IBM Journey to AI blog

MARCH 14, 2024

The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage. Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation.

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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. To DIY you need to: host an API, build a UI, and run or rent a database.

Data Lakes 52

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ODSC - Open Data Science

MAY 16, 2023

Capitalizing on these trends early could be an important part of staying competitive in 2023 and beyond. Increased Regulatory Pressure Consistent with the past few years, rising regulatory guidelines are one of the biggest data management trends for 2023. Here are five fast-growing trends you should know.

Database 98

Database Data Lakes Data Science Data Observability 98

Mlearning.ai

FEBRUARY 16, 2023

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Snowflake Database Pros Extensive Storage Opportunities Snowflake provides affordability, scalability, and a user-friendly interface.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

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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Machine Learning Machine Learning ML ML 134

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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AWS Machine Learning Blog

NOVEMBER 22, 2023

Code talks – In this new session type for re:Invent 2023, code talks are similar to our popular chalk talk format, but instead of focusing on an architecture solution with whiteboarding, the speakers lead an interactive discussion featuring live coding or code samples. AWS DeepRacer Get ready to race with AWS DeepRacer at re:Invent 2023!

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ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. With Great Expectations , data teams can express what they “expect” from their data using simple assertions.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

DagsHub

DECEMBER 11, 2023

A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool. Adding new data to the storage requires pulling the existing data, then calculating the new hash before pushing back the whole data. However, these tools have functional gaps for more advanced data workflows.

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Machine Learning Machine Learning Data Lakes Database 98

ODSC - Open Data Science

JULY 11, 2023

What are the similarities and differences between data centers, data lake houses, and data lakes? Data centers, data lake houses, and data lakes are all related to data storage and management, but they have some key differences. Not a cloud computer?

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ODSC - Open Data Science

NOVEMBER 22, 2023

Data Version Control for Data Lakes: Handling the Changes in Large Scale In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management.

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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. For Data stream capacity , choose On-demand.

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phData

SEPTEMBER 20, 2023

A data mesh is a conceptual architectural approach for managing data in large organizations. Traditional data management approaches often involve centralizing data in a data warehouse or data lake, leading to challenges like data silos, data ownership issues, and data access and processing bottlenecks.

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Data Silos Database Data Quality Data Engineering 52

phData

DECEMBER 4, 2023

More on this topic later; but for now, keep in mind that the simplest method is to create a naming convention for database objects that allows you to identify the owner and associated budget. The extended period will allow you to perform Time Travel activities, such as undropping tables or comparing new data against historical values.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Together, Principal and AWS have built data ingestion pipelines for customer email interactions and additional metadata from their customer data platform, and built data aggregation and analytics mechanisms to combine omnichannel data into a single customer insight lens. ©2023 Principal Financial Services, Inc.

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The MLOps Blog

OCTOBER 20, 2023

Reading & executing from.sql scripts We can use.sql files that are opened and executed from the notebook through a database connector library. connection_params: A dictionary containing PostgreSQL connection parameters, such as 'host', 'port', 'database', 'user', and 'password'.

SQL 52

SQL Database Data Scientist Python 52

IBM Journey to AI blog

JULY 17, 2023

Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent. 1 Watsonx.data offers built-in governance and automation to get to trusted insights within minutes, and integrations with existing databases and tools to simplify setup and user experience.

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AI AI Machine Learning Machine Learning 67

Flipboard

DECEMBER 18, 2023

He highlights innovations in data, infrastructure, and artificial intelligence and machine learning that are helping AWS customers achieve their goals faster, mine untapped potential, and create a better future. Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.

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AWS Data Warehouse ETL SQL 112

Snorkel AI

MAY 26, 2023

And so data scientists might be leveraging one compute service and might be leveraging an extracted CSV for their experimentation. And then the production teams might be leveraging a totally different single source of truth or data warehouse or data lake and totally different compute infrastructure for deploying models into production.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And so data scientists might be leveraging one compute service and might be leveraging an extracted CSV for their experimentation. And then the production teams might be leveraging a totally different single source of truth or data warehouse or data lake and totally different compute infrastructure for deploying models into production.

SQL 52

SQL ML ML Python 52

DataRobot Blog

MARCH 7, 2023

The DataRobot AI Platform seamlessly integrates with Azure cloud services, including Azure Machine Learning, Azure Data Lake Storage Gen 2 (ADLS), Azure Synapse Analytics, and Azure SQL database. For more information, visit [link]. DataRobot AI Platform is available via Azure Marketplace.

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IBM Journey to AI blog

SEPTEMBER 25, 2023

Because of its distributed nature, Presto scales for petabytes and exabytes of data. The evolution of Presto at Uber Beginning of a data analytics journey Uber began their analytical journey with a traditional analytical database platform at the core of their analytics.

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The MLOps Blog

MARCH 21, 2023

The job reads features, generates predictions, and writes them to a database. The client queries and reads the predictions from the database when needed. Inside the engine is a metrics data processor that: Reads the telemetry data, Calculates different operational metrics at regular intervals, And stores them in a metrics database.

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Machine Learning Machine Learning Data Scientist ML 69