Announcing the General Availability of cross-cloud data governance
databricks
MAY 21, 2025
Were excited to announce that the ability to access AWS S3 data on Azure Databricks through Unity Catalog to enable cross-cloud data governance is now
AWS Azure Data Governance 
AWS at Databricks Data + AI Summit 2025
databricks
JUNE 4, 2025
AWS’ Legendary Presence at DAIS: Customer Speakers, Featured Breakouts, and Live Demos! Amazon Web Services (AWS) returns as a Legend Sponsor at Data + AI Summit 2025 , the premier global event for data, analytics, and AI. AWS is also a proud sponsor of key Industry Forums – see full list below.
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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining
Data Science Blog
JULY 23, 2023
However, successful implementation requires addressing cultural, governance, and technological aspects. One of this aspect is the cloud architecture for the realization of Data Mesh. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.
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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth
Data Science Dojo
OCTOBER 31, 2024
The rise of big data technologies and the need for data governance further enhance the growth prospects in this field. Machine Learning Engineer Description Machine Learning Engineers are responsible for designing, building, and deploying machine learning models that enable organizations to make data-driven decisions.
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Object-centric Process Mining on Data Mesh Architectures
Data Science Blog
NOVEMBER 15, 2023
Storing the Object-Centrc Analytical Data Model on Data Mesh Architecture Central data models, particularly when used in a Data Mesh in the Enterprise Cloud, are highly beneficial for Process Mining, Business Intelligence, Data Science, and AI Training. Click to enlarge!
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Why Cloud Data Governance is Critical: 9 Key Principles
Alation
NOVEMBER 11, 2021
As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.
Beyond data: Cloud analytics mastery for business brilliance
Dataconomy
SEPTEMBER 4, 2023
A well-documented case is the UK government’s failed attempt to create a unified healthcare records system, which wasted billions of taxpayer dollars. Downtime, like the AWS outage in 2017 that affected several high-profile websites, can disrupt business operations.
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Cloud Governance Models
Dataversity
JUNE 2, 2021
The deliverability of cloud governance models has improved as public cloud usage continues to grow and mature. These models allow large enterprises to tier and scale their AWS Accounts, Azure Subscriptions, and Google Projects across hundreds and thousands of cloud users and services. When we first started […].
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5 Best Server Backup Software for Data-Driven Businesses
Smart Data Collective
APRIL 24, 2023
We hear a lot about the fundamental changes that big data has brought. However, we don’t often hear about the server side of dealing with big data. Servers Play a Crucial Role in Big Data Governance In today’s digital age, the data stored on servers is critical for businesses of all sizes.
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Choosing the Right ETL Platform: Benefits for Data Integration
Pickl AI
OCTOBER 15, 2024
It supports both batch and real-time data processing , making it highly versatile. Its ability to integrate with cloud platforms like AWS and Azure makes it an excellent choice for businesses moving to the cloud. It offers a robust suite of data integration tools, including data governance, quality, and master data management.
ETL 52
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New GenAI features, data annotation: Snorkel Flow 2024.R2
Snorkel AI
AUGUST 6, 2024
Enterprise admins also gain secure and flexible foundation model access with integrations like Azure ML, Azure OpenAI, and AWS Sagemaker. Enterprise Readiness Features Snorkel will provide additional data governance and IAM features to help IT Admins manage their Snorkel Instance. Learn more below.
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New GenAI features, data annotation: Snorkel Flow 2024.R2
Snorkel AI
AUGUST 7, 2024
Enterprise admins also gain secure and flexible foundation model access with integrations like Azure ML, Azure OpenAI, and AWS Sagemaker. link] Enterprise Readiness Features Snorkel will provide additional data governance and IAM features to help IT Admins manage their Snorkel Instance. Learn more below.
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Cloud SLA
Dataconomy
MAY 30, 2025
Data management Clear guidelines around data location, access, portability, and recovery expectations are vital to data governance. Governance and security Specifications regarding data protection measures and encryption help safeguard sensitive information.
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$100M+ ARR: Alation Achieves Centaur Status
Alation
SEPTEMBER 30, 2022
This June, Snowflake recognized Alation as its data governance partner of the year for the second year in a row, and Eckerson , IDC , BARC , Dresner , and Constellation all released reports just this summer naming Alation a data catalog leader. Everything and Everyone: The Catalog is the platform for Data Intelligence.
Top 5 Fivetran Connectors for Healthcare
phData
APRIL 29, 2024
Understanding Fivetran Fivetran is a popular Software-as-a-Service platform that enables users to automate the movement of data and ETL processes across diverse sources to a target destination. The phData team achieved a major milestone by successfully setting up a secure end-to-end data pipeline for a substantial healthcare enterprise.
SQL 52
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How to implement enterprise resource planning (ERP)
IBM Journey to AI blog
NOVEMBER 10, 2023
Define what data transfer method you want to use and test it to be sure it is the right migration process. Make a backup plan and a recovery plan in case errors occur or data is lost. Create a data governance policy and put protocols in place. Our SAP experts create custom roadmaps to lower costs and improve results.
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Top 9 Data Management Tools to Use in 2023
Analytics Vidhya
OCTOBER 25, 2023
Introduction Struggling with expanding a business database due to storage, management, and data accessibility issues? To steer growth, employ effective data management strategies and tools. This article explores data management’s key tool features and lists the top tools for 2023.
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3 Major Trends at Strata New York 2017
DataRobot Blog
OCTOBER 3, 2017
Many announcements at Strata centered on product integrations, with vendors closing the loop and turning tools into solutions, most notably: A Paxata-HDInsight solution demo, where Paxata showcased the general availability of its Adaptive Information Platform for Microsoft Azure. DataRobot Data Prep. free trial.
Data Lakes 52
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What is Column-Level Security in Snowflake?
phData
JANUARY 15, 2025
This is particularly useful for organizations already having PII data encrypted by a passkey in other data systems like legacy databases and object stores like AWS S3. In that scenario, the encryption and decryption code will reside outside Snowflake, for example, in an AWS Lambda. execute-api.us-west-2.amazonaws.com/snowflake-external-function-api-stage/'
AWS 52
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Discover the Most Important Fundamentals of Data Engineering
Pickl AI
NOVEMBER 4, 2024
Key Takeaways Data Engineering is vital for transforming raw data into actionable insights. Key components include data modelling, warehousing, pipelines, and integration. Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering?
AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs
IBM Journey to AI blog
AUGUST 12, 2024
It helps companies streamline and automate the end-to-end ML lifecycle, which includes data collection, model creation (built on data sources from the software development lifecycle), model deployment, model orchestration, health monitoring and data governance processes.
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Understanding Data Migration: A Comprehensive Guide
Pickl AI
AUGUST 30, 2024
Talend supports various data sources and offers a user-friendly interface for designing data workflows. AWS Database Migration Service A cloud-based service that helps migrate databases to AWS quickly and securely. Documentation Maintain comprehensive documentation, including data mappings and transformations.
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What Are the Best Data Modeling Methodologies & Processes for My Data Lake?
phData
SEPTEMBER 19, 2023
Cost reduction by minimizing data redundancy, improving data storage efficiency, and reducing the risk of errors and data-related issues. Data Governance and Security By defining data models, organizations can establish policies, access controls, and security measures to protect sensitive data.
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Considerations and Approaches to Loading Reference Data into Snowflake
phData
AUGUST 9, 2024
Typically, this data is scattered across Excel files on business users’ desktops. They usually operate outside any data governance structure; often, no documentation exists outside the user’s mind. Cloud Storage Upload Snowflake can easily upload files from cloud storage (AWS S3, Azure Storage, GCP Cloud Storage).
ETL 52
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Managing Dataset Versions in Long-Term ML Projects
The MLOps Blog
MARCH 20, 2023
Data Backup and Recovery : Have a data storage platform that supports a contingency plan for unexpected data loss and deletion, which can be quite common in a long-duration project. Data Compression : Explore data compression techniques to optimize storage space, primarily as long-term ML projects collect more data.
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Maximising Efficiency with ETL Data: Future Trends and Best Practices
Pickl AI
OCTOBER 17, 2024
Scalability ensures that ETL systems can grow alongside the organisation’s data demands, maintaining performance and reliability. Platforms like AWS Glue , Google Cloud Dataflow, and Azure Data Factory enable organisations to scale their ETL processes dynamically.
ETL 52
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Visionary Data Quality Paves the Way to Data Integrity
Precisely
MARCH 14, 2023
First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure. But early adopters realized that the expertise and hardware needed to manage these systems properly were complex and expensive.
Data Quality 52
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When To Use Internal vs. External Stages in Snowflake
phData
AUGUST 4, 2023
The external stage area includes Microsoft Azure Blob storage, Amazon AWS S3, and Google Cloud Storage. Amazon S3 for AWS, Azure Blob Storage for Azure, or Google Cloud Storage for GCP) to store the actual data files in micro-partitions. They are flexible, secure, and provide exceptional performance.
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How to Shift from Data Science to Data Engineering
ODSC - Open Data Science
JANUARY 18, 2024
So as you take inventory of your existing skill set, you’ll want to start to identify the areas where you need to focus on to become a data engineer. These areas may include SQL, database design, data warehousing, distributed systems, cloud platforms (AWS, Azure, GCP), and data pipelines.
Data Warehouse vs. Data Lake
Precisely
MARCH 9, 2023
The same can be said of other leading platforms such as Databricks, Cloudera, and data lakes offered by the major cloud providers such as AWS, Google, and Microsoft Azure. Precisely helps enterprises manage the integrity of their data. Hadoop and Snowflake represent tremendous advances in analytics capabilities.
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BI Tools Comparison to Improve Data Clarity | Women in Big Data
Women in Big Data
DECEMBER 9, 2024
Microsoft Power BI – Power BI is a comprehensive suite of tools which allows you to visualize data and create interactive reports and dashboards. Tableau – Tableau is celebrated for its advanced data visualization and interactive dashboard features. You can also share insights across organizations.
Big Data 52
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AI Models as a Service (AIMaaS): A Detailed Overview
Pickl AI
OCTOBER 3, 2024
Amazon Web Services (AWS): Offers a suite of Machine Learning services including SageMaker for building, training, and deploying ML models at scale. Microsoft Azure AI: Features Azure Machine Learning which supports both pre-built models and custom solutions tailored to specific business needs.
How To Use Dynamic Data Masking for Virtual Columns in Snowflake External Tables
phData
OCTOBER 23, 2023
You’re gathering JSON data from different APIs and storing it in places like AWS S3, Azure ADLS Gen2, or Google Bucket. Then, you can connect these storage locations to the Snowflake Data Cloud using integration objects and use the JSON entities as Snowflake external tables. Read more about it in this blog!
MLOps Landscape in 2023: Top Tools and Platforms
The MLOps Blog
JUNE 27, 2023
For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services. SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale.
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How Alation & Snowflake Integrate the Cloud Data Management Capabilities Framework (CDMC)
Alation
NOVEMBER 15, 2021
We used an Alation catalog instance to categorize six Snowflake data sources and a Tableau Server. The Snowflake data sources were multi-cloud (Azure, AWS, GCP) running in different regions around the world. Approach & Deliverables.
Cloud Data 52
52 
How to choose the best AI platform
IBM Journey to AI blog
OCTOBER 20, 2023
Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. What types of features do AI platforms offer?
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Data Mesh Architecture and the Data Catalog
Alation
FEBRUARY 8, 2022
Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that data governance and quality practices may vary between domains. Interoperable and governed by global standards. This is changing.
Cloud Native vs. Cloud Enabled: What’s the Difference?
Alation
DECEMBER 14, 2021
Cloud-native systems are constructed in the cloud from scratch to harness the power of such popular public cloud environments like AWS or Azure; these systems give developers new and advanced deployment tools that allow for a more rapid evolution of the enterprise’s overall architecture. Amazon Web Services (AWS). Oracle Cloud.
Top 50+ Data Analyst Interview Questions & Answers
Pickl AI
APRIL 26, 2024
I contributed by providing data insights, developing predictive models, and presenting findings, ultimately leading to more targeted marketing strategies and increased customer engagement. Data Governance and Ethics Questions What is data governance, and why is it important?
Data Analyst 52
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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering
Pickl AI
JULY 25, 2023
Data Integration and ETL (Extract, Transform, Load) Data Engineers develop and manage data pipelines that extract data from various sources, transform it into a suitable format, and load it into the destination systems. Data Quality and Governance Ensuring data quality is a critical aspect of a Data Engineer’s role.
Data Science Cheat Sheet for Business Leaders
Pickl AI
APRIL 2, 2024
Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Hadoop/Spark: Frameworks for distributed storage and processing of big data. Cloud Platforms (AWS, Azure, Google Cloud): Infrastructure for scalable and cost-effective data storage and analysis.
Data Science 52
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How to Manage Unstructured Data in AI and Machine Learning Projects
DagsHub
OCTOBER 23, 2024
They enable flexible data storage and retrieval for diverse use cases, making them highly scalable for big data applications. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Data Processing Tools These tools are essential for handling large volumes of unstructured data.
Large Language Models: A Complete Guide
Heartbeat
MAY 29, 2023
Some of the steps that can be taken include: Data Governance: Implementing rigorous data governance policies that ensure fairness, transparency, and accountability in the data used to train LLMs.
The Ultimate Modern Data Stack Migration Guide
phData
JULY 18, 2023
Better Transparency: There’s more clarity about where data is coming from, where it’s going, why it’s being transformed, and how it’s being used. Improved Data Governance: This level of transparency can also enhance data governance and control mechanisms in the new data system.
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