AWS Big Data

JUNE 7, 2023

They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex. Data can be organized into three different zones, as shown in the following figure.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

Alation

FEBRUARY 13, 2020

What role does data play in your customer-first culture? Graves: As I mentioned, one of the key things for us is that we sell web products for our customers to build their own web presence – domains, hosting, shopping carts, and SSL certs. So we came up with a concept called a Unified Data Set (UDS).

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. BTW, videos for Rev2 are up: [link]. On deck this time ’round the Moon: program synthesis.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

DECEMBER 18, 2023

There are multiple tables related to customers and order data in the RDS database. Amazon S3 hosts the metadata of all the tables as a.csv file. Over the years, he has helped multiple customers on data platform transformations across industry verticals. The following diagram illustrates the Step Functions workflow.

Metadata 117

Metadata Visualization Data Lake Data-driven 117

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required.

Modeling 92

Modeling Metadata Data Processing Unstructured Data 92

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Then, you transform this data into a concise format.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Cloudera

APRIL 21, 2022

The centerpiece of MHS Genesis is Cerner’s Millennium services management platform, which provides hosted software-as-a-service functionality in the cloud. A key reason for selecting Cerner, the DoD said , was the company’s data center allows direct access to proprietary data that it couldn’t obtain from a government-hosted environment.

Metadata 83

Metadata Informatics Insurance Data Processing 83

Alation

JANUARY 17, 2023

Powered by cloud computing, more data professionals have access to the data, too. Data analysts have access to the data warehouse using BI tools like Tableau; data scientists have access to data science tools, such as Dataiku. Better Data Culture. Good data warehouses should be reliable.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

Domino Data Lab

OCTOBER 9, 2019

Data Science meets Climate Science. Environment Data Management (EDM) is an annual meeting for data management teams at the NOAA , this year chaired by Kim Valentine and Eugene Burger. Data veracity, data stewardship, and heros of data science. Metadata Challenges.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance. Cost-optimization and ease-of-use .

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

CIO Business Intelligence

JUNE 14, 2023

Additionally, it is vital to be able to execute computing operations on the 1000+ PB within a multi-parallel processing distributed system, considering that the data remains dynamic, constantly undergoing updates, deletions, movements, and growth.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

AWS Big Data

APRIL 26, 2024

IAM Identity Center now supports trusted identity propagation , a streamlined experience for users who require access to data with AWS analytics services.

Analytics 81

Analytics Data Lake Management Enterprise 81

CIO Business Intelligence

SEPTEMBER 22, 2023

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. DMP vs. CDP Lately a cousin of DMP has evolved, called the customer data platform (CDP).

Management 104

Management Advertising Data Lake Sales 104

CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. Lately a cousin of DMP has evolved, called the customer data platform (CDP). Some DMPs specialize in producing reports with elaborate infographics.

Management 143

Management Advertising Data Lake Sales 143

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – We did some early work a few years ago that look at the career path of a CDO – see from 2016 Build Your Career Path to the Chief Data Officer Role. We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Cloudera

AUGUST 21, 2020

There are now tens of thousands of instances of these Big Data platforms running in production around the world today, and the number is increasing every year. Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. Streaming data analytics. .

Cost-Benefit 71

Cost-Benefit Big Data ROI Risk 71

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data.

Reporting 83

Reporting Data Lake Management Optimization 83

Insight

SEPTEMBER 10, 2019

In the data engineering program at Insight Data Science, some Fellows choose to use Pegasus as a tool to quickly stand-up instances on Amazon Web Services and install the necessary distributed computing technologies. Next, Pegasus will identify where the data node will store its metadata.

Metadata 40

Metadata Data Processing Technology Data Science 40

bridgei2i

MARCH 3, 2021

Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Unlocking the Value of Enterprise AI with Data Engineering Capabilities. They discuss how the data engineering team is instrumental in easing collaboration between analysts, data scientists and ML engineers to build enterprise AI solutions.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

AWS Big Data

JULY 14, 2023

The FinAuto team built AWS Cloud Development Kit (AWS CDK), AWS CloudFormation , and API tools to maintain a metadata store that ingests from domain owner catalogs into the global catalog. This global catalog captures new or updated partitions from the data producer AWS Glue Data Catalogs.

Finance 79

Finance Metadata Big Data Recreation/Entertainment 79

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. So, establishing a framework to store data by its source is a great place to start. Establishing a solid vision and mission is key.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. As such a head of analytics, BI and data science may emerge. CAO may well be a name for that role.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

FEBRUARY 13, 2020

I had the pleasure of chatting with John Furrier of theCUBE about how our recent round of funding will fuel innovation within the Alation Data Catalog. I’m John Furrier, co-host of theCUBE. You see scale, obviously data science work in the cloud. This is certified data. Check out our conversation below.

ROI 52

ROI Data-driven Finance Data Quality 52

Andrew White

MARCH 31, 2023

A workshop that helps diagnostically map specific data to specific business outcomes. I hosted 25 1-1s in between the meetings and presentations. Data mesh versus data fabric I am not the expert here but in lay terms, I believe both fabric and mesh include a semantic inference engine that consumes active metadata.

Analytics 40

Analytics Marketing Visualization Data-driven 40

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. We can compare open source licenses hosted on the Open Source Initiative site: In [11]: lic = {} ?lic["mit"] metadata=convention_df["speaker"]? ). sys.exit(-1).

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110