AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 74

Metadata Data Lake Data Processing Data-driven 74

CIO Business Intelligence

JUNE 11, 2024

That definition was well ahead of its time and forecasted the current era’s machine learning and generative AI capabilities. What dataops, data governance, machine learning, and AI capabilities are IT developing as competitive differentiators? What comes first: A new brand or operating model?

IT 108

IT Digital Transformation Broadcasting Business Objectives 108

CIO Business Intelligence

NOVEMBER 16, 2022

Brown recently spoke with CIO Leadership Live host Maryfran Johnson about advancing product features via sensor data, accelerating digital twin strategies, reinventing supply chain dynamics and more. AI and machine learning are mature today. CIO, Data Governance, Digital Transformation, IT Leadership

IT 133

IT Modeling Digital Transformation Data Governance 133

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

AWS Big Data

JULY 25, 2023

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. For Host , enter the Redshift Serverless endpoint’s host URL. For Port , enter 5349. This is optional.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

IBM Big Data Hub

DECEMBER 20, 2023

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Establish a data governance framework to manage data effectively.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. Choose the Right Cloud Hosting Platform. Leverage a Data Governance Solution.

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. The Five Pain Points of Moving Data to the Cloud.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. awsAccessKey=s3-spark-user/HOST@REALM.COM. import boto3. s3 = boto3.resource('s3',

Data Science 113

Data Science Forecasting Metadata Machine Learning 113

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

OCTOBER 1, 2022

As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. These companies face a unique set of data governance challenges regarding infrastructure and compliance on local, national, and international levels. Listen to the full podcast episode here. “It

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 83

Finance Metadata Big Data Recreation/Entertainment 83

Alation

AUGUST 24, 2022

Fortunately, during the first season of the Data Radicals podcast , host and Alation CEO Satyen Sangani spoke to some of the leading voices in data on how to build a data culture in an enterprise, surfacing several ways to manage expectations and achieve success in the CDO role. Doing Data Diplomacy.

Data Governance 52

Data Governance Data Processing Machine Learning Management 52

CIO Business Intelligence

JANUARY 4, 2023

Cloud migrations have been on the rise in recent years for a host of business reasons, but CIOs serious about sustainability are pulling out all the stops. On-prem data centers have an outsized impact on carbon emissions and waste. Data management, automation, analytics is critical to reviewing our progress in ESG,” she says. “As

IT 119

IT Internet of Things Reporting Cost-Benefit 119

Domino Data Lab

JULY 2, 2019

Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? pointed out in “ The Case for Learned Index Structures ” (see video ) the internal smarts (B-trees, etc.) of relational databases represent early forms of machine learning. With me so far?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Pillar 5: Data governance Establishing the right governance that balances control and access gives users trust and confidence in data.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins advised that data scientists ingest business problems, re-frame them as ML tasks, execute on the ML tasks, and then clearly and concisely communicate the results back to the organization.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

AWS Big Data

MARCH 27, 2023

Data producers can use the data mesh platform to create datasets and share them across business teams to ensure data availability, reliability, and interoperability across functions and data subject areas. The data mesh producer account hosts the encrypted S3 bucket, which is shared with the central governance account.

Data Lake 85

Data Lake Data-driven Management Data Architecture 85

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

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Testing Machine Learning Consulting Data Quality 300

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 102

Data Lake Sales Data Warehouse Snapshot 102

datapine

DECEMBER 11, 2019

Within business scenarios, artificial intelligence (as well as machine learning, in many cases) provides an advanced degree of responsiveness and interaction between businesses, customers, and technology, driving AI-based SaaS trends 2020 onto a new level. How will AI improve SaaS in 2020? 2) Vertical SaaS. 6) Micro-SaaS.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. times more effective than traditional mass marketing.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

datapine

MARCH 25, 2019

With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. Build a data management roadmap.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

Cloudera

OCTOBER 19, 2023

To do this, telcos must reimagine their approach to data architecture: transitioning from legacy, siloed data architectures to a modern data architecture—anchored by a data platform able to integrate data across on-premises and cloud environments, and the network edge.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

Cloudera

MARCH 17, 2022

Harnessing data in motion is a crucial step in gaining command and control of data as a strategic asset – moving it from where it is generated to where it can be managed and analyzed and ultimately used to support timely, informed decision making. . The Value of Public Sector Data. The First Leg of the Data Journey.

IoT 86

IoT Cost-Benefit Data-driven Data Strategy 86

CIO Business Intelligence

FEBRUARY 28, 2024

A retail company, for example, might have a 360-degree view of customers, which is all fed into analytics engines, machine learning, and other traditional AI to calculate the next best action. So by using the company’s data, a general-purpose language model becomes a useful business tool. They’re not great for knowledge.”

IT 109

IT Consulting Modeling Enterprise 109

Cloudera

SEPTEMBER 6, 2022

Disaggregated silos: With highly atomized data assets and minimal enterprise data governance, chief data oofficers are being tasked with identifying processes that can reduce liability and offer levers to better control security and costs. There are three major architectures under the modern data architecture umbrella. .

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

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. Many data science labs are set up as shared services. But I am not sure if this is what you mean.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

FEBRUARY 27, 2023

It was a tie for third place, with data governance issues, workload and data portability, regulatory compliance, and ensuring security across public clouds all cited by 24%. But there are still many factors holding back multicloud adoption in the enterprise.

Cost-Benefit 143

Cost-Benefit Insurance Enterprise Optimization 143

Alation

DECEMBER 13, 2022

People come to the data catalog to find trusted data, understand it, and use it wisely. Today a modern catalog hosts a wide range of users (like business leaders, data scientists and engineers) and supports an even wider set of use cases (like data governance , self-service , and cloud migration ).

Metadata 52

Metadata Data Governance Enterprise Insurance 52

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Here are some changes on the horizon.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

CIO Business Intelligence

JUNE 21, 2023

hosted in a private Azure cloud. Another option for companies with very particular requirements but no interest in training their own models is to use something like ChatGPT and then give it access to company data via a vector database. “The Insight, for example, runs OpenAI’s GPT 3.5 Turbo and GPT 4.0 How do we guard against bias?

Cost-Benefit 92

Cost-Benefit Modeling Risk Enterprise 92

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82