Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too.

Business Intelligence 134

Business Intelligence Business Intelligence Power BI Augmented Analytics 134

Analytics Vidhya

NOVEMBER 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven.

Data Science 341

Data Science Analytics Analytics Azure 341

Data Science Dojo

OCTOBER 10, 2023

AI and Big Data Expo – North America (May 17-18, 2023): This technology event is for enterprise technology professionals interested in the latest AI and big data advances and tactics. Representatives from Google AI, Amazon Web Services, Microsoft Azure, and other top firms attended the event as main speakers.

AI 243

AI AI Data Observability Artificial Intelligence 243

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

Alation

MARCH 31, 2023

Actually, with Solomon-like wisdom, Zaidi and Thanaraj suggest a scenario where data fabric and data mesh work together — a Reese’s Peanut Butter Cup of data architecture, representing a “meshy fabric” scenario I presented last year. Data governance. “I He compared governance to the U.S.

Analytics 52

Analytics Analytics Data Governance Power BI 52

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

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

ETL Azure AWS Data Governance 52

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

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 Engineering Data Engineering Data Engineer 52

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 […].

Azure 52

Azure AWS Data Governance Data Quality 52

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Data Governance 59

Data Governance ML ML Cloud Data 59

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 218

Database Analytics Analytics Data Warehouse 218

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. Our team frequently configures Fivetran connectors to cloud object storage platforms such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

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

ODSC - Open Data Science

JUNE 12, 2023

From a data governance perspective, this is a massive risk to organizations by exposing them to the whole laundry of privacy and security breaches. With the Power BI Datamarts technology, Microsoft provides a governed self-service datamart capability in the Power BI Service.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 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

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Strong data governance ensures accuracy, security, and compliance in data management. What is Big Data? How Does Big Data Ensure Data Quality?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Strong data governance ensures accuracy, security, and compliance in data management. What is Big Data? How Does Big Data Ensure Data Quality?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. Integrated data catalog for metadata support As you build out your IT ecosystem, it is important to leverage tools that have the capabilities to support forward-looking use cases. A notable capability that achieves this is the data catalog.

Data Governance 64

Data Governance ETL Data Pipeline Azure 64

Pickl AI

AUGUST 30, 2024

Microsoft Azure Data Factory A cloud-based data integration service that allows users to create data-driven workflows for orchestrating data movement and transformation. Azure Data Factory supports a wide range of data sources and offers advanced features for data transformation.

Data Quality 52

Data Quality Data Governance Azure Database 52

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

phData

JANUARY 15, 2025

However, with the popularity of Snowpark , many organizations can decide to migrate the tokenization code to Snowflake itself and do the PII data masking using the Snowpark functions instead of using External Functions Irrespective of that, External Tokenization has provided organizations with an option to centralize their data governance process.

AWS 52

AWS Data Governance Azure SQL 52

Pickl AI

NOVEMBER 5, 2024

Market Presence and Growth Microsoft Power BI has become a major player in the Data Visualisation market, with a market share of 15.44%. Power BI, on the other hand, offers strong data integration capabilities, especially within the Microsoft ecosystem. This makes it adaptable for industries with strict data governance policies.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 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

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. Learn more about the cloud.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. Integrated data catalog for metadata support As you build out your IT ecosystem, it is important to leverage tools that have the capabilities to support forward-looking use cases. A notable capability that achieves this is the data catalog.

Data Governance 52

Data Governance ETL Data Pipeline Azure 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

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

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

ODSC - Open Data Science

APRIL 21, 2023

Keynotes Infuse Generative AI in your apps using Azure OpenAI Service As you know, businesses are always looking for ways to improve efficiency and reduce risk, and one way they’re achieving this is through the integration of large language models. Present your innovative solution to both a live audience and a panel of judges.

AI 52

AI AI Azure Algorithm 52

phData

FEBRUARY 16, 2023

These projects should include all functional areas within the data platform including analytics engineering, machine learning , and data science. Data governance and data classification are potential reasons to separate projects in dbt Cloud. ex: OKTA, Azure AD, Google, etc).

Database 52

Database Azure Data Classification Data Governance 52

phData

JULY 11, 2023

Power BI Datamarts provides a low/no code experience directly within Power BI Service that allows developers to ingest data from disparate sources, perform ETL tasks with Power Query, and load data into a fully managed Azure SQL database.

Power BI 40

Power BI SQL Azure ETL 40

Pickl AI

OCTOBER 3, 2024

Microsoft Azure AI: Features Azure Machine Learning which supports both pre-built models and custom solutions tailored to specific business needs. Organisations must ensure that data is securely stored, transmitted, and processed to prevent potential leaks or misuse12.

Machine Learning 52

Machine Learning Machine Learning AI AI 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. Whichever platform you choose, Precisely Connect can help you integrate data from any source, including the critical mainframe systems like IBM i, z/OS, and others.

Data Warehouse 59

Data Warehouse Data Lakes Hadoop Big Data 59

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

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