phData

APRIL 4, 2023

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

Data Lakes 52

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IBM Journey to AI blog

FEBRUARY 2, 2023

These developments have accelerated the adoption of hybrid-cloud data warehousing; industry analysts estimate that almost 50% 2 of enterprise data has been moved to the cloud. What is holding back the other 50% of datasets on-premises? However, a more detailed analysis is needed to make an informed decision.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

Data Science 101

NOVEMBER 7, 2019

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Here they are in my order of importance (based upon my opinion).

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phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Alation

DECEMBER 14, 2021

Alation recently attended AWS re:invent 2021 … in person! AWS Keynote: “Still Early Days” for Cloud. Adam Selipsky, CEO of AWS, brought this energy in his opening keynote, welcoming a packed room and looking back on the progress of AWS. Cloud accounts for less than 5% of global IT spending , according to estimates.

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AWS Data Lakes Data Warehouse Machine Learning 52

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. It provides a single web-based visual interface where you can perform all ML development steps, including preparing data and building, training, and deploying models.

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Dataconomy

SEPTEMBER 4, 2023

Dependency on service providers : Relying on third-party cloud service providers means your operations are dependent on their uptime and reliability. Downtime, like the AWS outage in 2017 that affected several high-profile websites, can disrupt business operations. 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

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. It’s an easy way to run analytics on IoT data to gain accurate insights.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Set up OAuth for Salesforce Data Cloud in SageMaker Canvas. Connect to Salesforce Data Cloud data using the built-in SageMaker Canvas Salesforce Data Cloud connector and import the dataset. Configure the following scopes on your connected app: Manage user data via APIs ( api ).

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ML ML AWS SQL 84

phData

APRIL 29, 2024

Fivetran enables healthcare organizations to ingest data securely and effectively from a variety of sources into their target destinations, such as Snowflake or other cloud data platforms, for further analytics or curation for sharing data with external providers or customers.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

Precisely

JANUARY 19, 2023

Cloud Computing Many appreciate cloud computing because of its scalability, elasticity, and ability to offer easy access to users across the globe. With the emergence of cloud hyperscalers like AWS, Google, and Microsoft, the shift to the cloud has accelerated significantly.

AWS 52

AWS Cloud Computing Data Pipeline Big Data 52

AWS Machine Learning Blog

AUGUST 4, 2023

The following steps give an overview of how to use the new capabilities launched in SageMaker for Salesforce to enable the overall integration: Set up the Amazon SageMaker Studio domain and OAuth between Salesforce and the AWS account s. The endpoint will be exposed to Salesforce Data Cloud as an API through API Gateway.

ML 88

ML ML AWS AI 88

Precisely

JANUARY 18, 2024

Modernize in Place (Instead of Rip and Replace) Many appreciate cloud computing because of its scalability, elasticity, and ability to offer easy access to users across the globe. With the emergence of cloud hyperscalers like AWS, Google, and Microsoft, the shift to the cloud has accelerated significantly.

AWS 52

AWS Artificial Intelligence Artificial Intelligence Cloud Computing 52

Pickl AI

APRIL 9, 2025

This includes operations like data validation, data cleansing, data aggregation, and data normalization. The goal is to ensure that the data is consistent and ready for analysis. Loading : Storing the transformed data in a target system like a data warehouse, data lake, or even a database.

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

IBM Journey to AI blog

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. Integrations between watsonx.data and AWS solutions include Amazon S3, EMR Spark, and later this year AWS Glue, as well as many more to come.

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AI AI Machine Learning Machine Learning 74

Alation

MARCH 1, 2022

Airline Reporting Corporation (ARC) sells data products to travel agencies and airlines. Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed).

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

phData

FEBRUARY 14, 2023

Qlik Replicate Qlik Replicate is a data integration tool that supports a wide range of source and target endpoints with configuration and automation capabilities that can give your organization easy, high-performance access to the latest and most accurate data. Matillion is not a no-code solution, but rather a low-code solution.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Precisely

JANUARY 25, 2024

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

phData

AUGUST 9, 2023

Open source big data tools like Hadoop were experimented with – these could land data into a repository first before transformation. Thus, the early data lakes began following more of the EL-style flow. Snowflake was optimized for the cloud, separating storage and computing.

ETL 52

ETL Data Warehouse Cloud Data Big Data 52

Alation

JULY 18, 2022

And the highlight, for us data intelligence folks, was the Databricks’ announcement that Unity Catalog , its unified governance solution for all data assets on its Lakehouse platform, will soon be available on AWS and Azure in the upcoming weeks. A simple model to control access to data via a UI or SQL. and much more!

AI 52

AI AI Data Lakes Azure 52

Alation

APRIL 7, 2021

Powered by the industry’s broadest and deepest connectivity, the Alation Data Catalog supports data intelligence use cases across an organization’s de facto hybrid cloud environments. Alation’s cloud offering delivers these same benefits, now available as a service. Alation Cloud Service is available on AWS.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

Tableau

DECEMBER 7, 2022

As the world’s first real-time CRM, Salesforce Customer 360 and Data Cloud provide your entire organization with a single, up-to-the-minute view of your customer across any cloud. Built-in connectors bring in data from every single channel. Or, because it’s optimized for customer data, let’s call it a customer graph.)

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

Dataversity

MARCH 29, 2021

The post The Move to Public Cloud and an Intelligent Data Strategy appeared first on DATAVERSITY. Click to learn more about author Joe Gaska. This is especially true when it comes to applications. As […].

DataOps 94

DataOps Data Lakes Azure AWS 94

The MLOps Blog

MAY 17, 2023

Cloud ETL Pipeline: Cloud ETL pipeline for ML involves using cloud-based services to extract, transform, and load data into an ML system for training and deployment. Cloud providers such as AWS, Microsoft Azure, and GCP offer a range of tools and services that can be used to build these pipelines.

ETL 59

ETL Data Pipeline ML ML 59

Alation

MARCH 22, 2022

IDF works natively on cloud platforms like AWS. It leverages the power of serverless (and managed) services to automate and build data and analytics pipelines; IDF uses a point-and-click, zero-code approach with pipeline blueprints (patterns), such as the one below.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineering 52

phData

DECEMBER 4, 2023

However, if there’s one thing we’ve learned from years of successful cloud data implementations here at phData, it’s the importance of: Defining and implementing processes Building automation, and Performing configuration …even before you create the first user account.

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Clustering Database SQL Data Pipeline 98

Data Science Blog

MAY 15, 2023

tl;dr Ein Data Lakehouse ist eine moderne Datenarchitektur, die die Vorteile eines Data Lake und eines Data Warehouse kombiniert. Die Definition eines Data Lakehouse Ein Data Lakehouse ist eine moderne Datenspeicher- und -verarbeitungsarchitektur, die die Vorteile von Data Lakes und Data Warehouses vereint.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

AWS Machine Learning Blog

NOVEMBER 1, 2024

AWS can play a key role in enabling fast implementation of these decentralized clinical trials. By exploring these AWS powered alternatives, we aim to demonstrate how organizations can drive progress towards more environmentally friendly clinical research practices.

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