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.

Azure 52

Azure AWS ML ML 52

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.

Azure 52

Azure AWS ML ML 52

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.

Big Data 119

Big Data Big Data Hadoop Azure 119

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

SQL Data Warehouse Azure Cloud Data 52

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.

Database 220

Database Analytics Analytics Data Warehouse 220

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.

Data Governance 92

Data Governance Azure SQL Data Quality 92

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.

Azure 133

Azure Data Governance AWS AI 133

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

AWS Data Governance Azure SQL 52

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?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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.

Big Data 106

Big Data Big Data ML ML 106

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.

Data Quality 52

Data Quality Data Governance Azure Database 52

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.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

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

ETL Data Warehouse Data Governance Tableau 52

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.

ML 59

ML ML Machine Learning Machine Learning 59

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

ETL Data Warehouse Data Quality Data Governance 52

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

Data Quality Cloud Data Data Pipeline Data Observability 52

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.

Database 52

Database Azure SQL AWS 52

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 Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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.

Data Warehouse 59

Data Warehouse Data Lakes Hadoop Big Data 59

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!

Data Governance 52

Data Governance Python Data Classification Azure 52

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.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

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.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

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

Cloud Data Tableau Azure Analytics 52

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?

AI 90

AI AI Machine Learning Machine Learning 90

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

Data Analyst Data Analysis Data Analysis Machine Learning 52

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.

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52

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.

Cloud Computing 52

Cloud Computing Azure AWS Data Quality 52

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 Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

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.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

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.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

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.

Data Governance 52

Data Governance Cloud Data Data Quality Azure 52

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

Big Data Big Data Power BI Tableau 52

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

Data Lakes Azure Data Pipeline Hadoop 52

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.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52

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

Data Science Machine Learning Machine Learning Predictive Analytics 52