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

Data Lakes Data Warehouse Cloud Data Data Science 52

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. However, a more detailed analysis is needed to make an informed decision. What is holding back the other 50% of datasets on-premises?

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

phData

NOVEMBER 9, 2023

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before. What is a Data Lake?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. By tapping into the power of cloud technology, organizations can efficiently analyze large datasets, uncover hidden patterns, predict future trends, and make informed decisions to drive their businesses forward.

Analytics 203

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Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

Cloud Data 98

Cloud Data Data Silos Data Lakes Data Warehouse 98

Alation

JUNE 17, 2021

Both technologies are essential to helping enterprises unlock the value of their data and build thriving data cultures.”. The Data Swamp Problem. As enterprise information surges in amount, leaders must ensure their data lakes don’t turn into data swamps. The Governance Solution.

Data Governance 98

Data Governance Data Lakes Cloud Data Data Quality 98

Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. These skilled professionals are tasked with building and deploying models that improve the quality and efficiency of BMW’s business processes and enable informed leadership decisions.

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Dataversity

MARCH 6, 2023

Data lakes and semantic layers have been around for a long time – each living in their own walled gardens, tightly coupled to fairly narrow use cases. As data and analytics infrastructure migrates to the cloud, many are challenging how these foundational technology components fit in the modern data and analytics stack.

Data Lakes 52

Data Lakes Analytics Analytics Cloud Data 52

Dataversity

SEPTEMBER 12, 2022

The ways in which we store and manage data have grown exponentially over recent years – and continue to evolve into new paradigms. For much of IT history, though, enterprise data architecture has existed as monolithic, centralized “data lakes.” The post Data Mesh or Data Mess?

Data Lakes 52

Data Lakes Data Quality Data Governance Cloud Data 52

Smart Data Collective

OCTOBER 26, 2019

While there is more of a push to use cloud data for off-site backup , this method comes with its own caveats. In the event of a network shutdown or failure, it may take much longer to restore functionality (and therefore connection) to a cloud-hosted off-site backup. Big Data Storage Concerns.

Big Data 67

Big Data Big Data Data Lakes Cloud Data 67

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 ).

ML 113

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Alation

APRIL 19, 2022

And in an increasingly remote workforce, people need to access data systems easily to do their jobs. Today, data dwells everywhere. Data modernization enables informed decision making by pulling data out of systems more reliably. It helps you identify high-value data combinations and integrations.

Data Governance 52

Data Governance Cloud Data Database Data Silos 52

Alation

JUNE 9, 2021

We have an explosion, not only in the raw amount of data, but in the types of database systems for storing it ( db-engines.com ranks over 340) and architectures for managing it (from operational datastores to data lakes to cloud data warehouses). Organizations are drowning in a deluge of data.

Data Governance 59

Data Governance Database Cloud Data Machine Learning 59

Alation

MARCH 1, 2022

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). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 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. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.

ML 123

ML ML AWS Data Warehouse 123

Alation

MARCH 29, 2021

A modern data catalog is more than just a collection of your enterprise’s every data asset. It’s also a repository of metadata — or data about data — on information sources from across the enterprise, including data sets, business intelligence reports, and visualizations.

Machine Learning 59

Machine Learning Machine Learning Data Lakes Hadoop 59

AWS Machine Learning Blog

APRIL 12, 2023

The PdMS includes AWS services to securely manage the lifecycle of edge compute devices and BHS assets, cloud data ingestion, storage, machine learning (ML) inference models, and business logic to power proactive equipment maintenance in the cloud. Extract raw data via CSV format for external integration.

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ODSC - Open Data Science

JULY 11, 2023

To help avoid errors, incomplete answers, and controversies about this technology, I also cite other professional literature and videos to supplement what ChatGPT said and to refer readers to more information about how it was created and works. What are the similarities and differences between data centers, data lake houses, and data lakes?

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

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

Alation

JUNE 21, 2022

After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that. As the audience grew, so did the diversity of information assets they wanted in the catalog. Data scientists went beyond database tables to data lakes and cloud data stores.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

AWS Machine Learning Blog

SEPTEMBER 5, 2023

We have over 50 TB of historical equipment data and expect this data to grow quickly as more HVAC units are connected to the cloud. Data processing and model inference need to scale as our data grows. Crucially, this approach preserves predictive information about unit behavior with a much smaller data footprint.

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IBM Journey to AI blog

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases.

AI 74

AI AI Machine Learning Machine Learning 74

Alation

JULY 18, 2022

A simple model to control access to data via a UI or SQL. Automatically tracking data lineage across queries executed in any language. An information scheme in the Lakehouse. … and much more! A Giant Partnership and a Giants Game.

AI 52

AI AI Data Lakes Azure 52

Pickl AI

APRIL 9, 2025

It provides insights into considerations for choosing the right tool, ensuring businesses can optimize their data integration processes for better analytics and decision-making. Introduction In todays data-driven world, organizations are overwhelmed with vast amounts of information.

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

Alation

APRIL 14, 2022

In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. The Cloud Data Migration Challenge. With the onslaught of AI/ML, data volumes, cadence, and complexity have exploded.

Data Governance 59

Data Governance ML ML Cloud Data 59

AWS Machine Learning Blog

AUGUST 4, 2023

The real-time inference call data is first passed to the SageMaker Data Wrangler container in the inference pipeline, where it is preprocessed and passed to the trained model for product recommendation. For more information, refer to Creating roles and attaching policies (console). Creating the dataset may take some time.

ML 98

ML ML AWS AI 98

Dataversity

OCTOBER 14, 2021

On August 20, 2021, the People’s Republic of China passed its first comprehensive data privacy law, the Personal Information Protection Law (PIPL). The law, set to take effect on November 1, 2021, includes several new obligations for companies handling personal information collected from the country’s citizens.

Data Lakes 52

Data Lakes Cloud Data Analytics Analytics 52

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The tool’s high storage capacity is perfect for keeping large information volumes.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Tableau

DECEMBER 7, 2022

Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. As a result, making informed business decisions was frustrating and time consuming. Salesforce Data Cloud for Tableau solves those challenges.

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

phData

SEPTEMBER 29, 2023

In reality, though, if you use data (read: any information), you are most likely practicing some form of data engineering every single day. Classically, data engineering is any process involving the design and execution of systems whose primary purpose is collecting and preparing raw data for user consumption.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

MAY 6, 2024

This blog post aims to build a clear understanding of identity resolution, allowing you to have informed conversations and drive initiatives that maximize the value of your customer data. Identity resolution is a process at the core of identifying and linking various fragments of customer data to form a holistic view of the customer.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data SQL 52

phData

FEBRUARY 5, 2024

Walking you through the biggest challenges we have found when migrating our customer’s data from a legacy system to Snowflake. Background Information on Migrating to Snowflake So you’ve decided to move from your current data warehousing solution to Snowflake, and you want to know what challenges await you.

SQL 52

SQL Database Data Quality Data Warehouse 52

Dataversity

MARCH 22, 2021

This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed? Click here to learn more about Heine Krog Iversen.

Data Lakes 98

Data Lakes Data Warehouse Data Quality Data Modeling 98

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. Replication of calculated values is not supported during Change Processing.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

Internet of Things 97

Internet of Things Data Silos Data Lakes Data Warehouse 97

Dataversity

SEPTEMBER 6, 2021

The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. Click to learn more about author Mike Potter.

Data Warehouse 98

Data Warehouse Data Lakes ETL Cloud Data 98

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 […].

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DataOps Data Lakes Azure AWS 94