O'Reilly on Data

FEBRUARY 4, 2019

In this post, I’ll describe some of the key areas of interest and concern highlighted by respondents from Europe, while describing how some of these topics will be covered at the upcoming Strata Data conference in London (April 29 - May 2, 2019). Data Platforms. Data Integration and Data Pipelines.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

Cloudera

OCTOBER 19, 2022

The hybrid cloud gives organizations the agility they desire, particularly when thinking about the need to process data quickly and efficiently across several different environments. . Telco industry executives Jinsoo Jang of LG Uplus and Patrick de Vries of KPN spoke at a Modern Data Architecture for Telco lunch, hosted by Cloudera.

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

erwin

AUGUST 19, 2020

That’s why we look forward to bringing together erwin’s global community of users, partners, prospects and friends to engage and explore ideas, experiences, trends and technologies driving data modeling (DM), data governance and intelligence (DI), and enterprise architecture/business process modeling (EA/BP).

Data Processing 141

Data Processing Data Governance Enterprise Modeling 141

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Risk Management 137

Alation

MAY 19, 2022

Never underestimate the power of small data. Think about what data you can create. Synthetic data is growing in popularity as a tool for data scientists. This is data that’s artificially produced to mimic and model real events: It retains the structure of the original data but is not the same as real data.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

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

CDW Research Hub

JANUARY 28, 2022

Leverage cloud in the hybrid model. Storage solutions must be agile, and that’s why many organizations are adopting hybrid cloud solutions to accommodate changes in application and data growth. With a multi-cloud strategy, organizations get the flexibility to collect, segregate and store data whether it’s on- or off-premises.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

IBM Big Data Hub

DECEMBER 20, 2023

Determine the tools and support needed and organize them based on what’s most crucial for the project, specifically: Data: Make a data strategy by determining if new or existing data or datasets will be required to effectively fuel the AI solution. Establish a data governance framework to manage data effectively.

Strategy 78

Strategy Business Objectives Cost-Benefit Consulting 78

CIO Business Intelligence

NOVEMBER 20, 2023

Today the model doesn’t seem like such a marvel, but when you think about it, cloud still deserves a lot of praise. “It Still, sound data management is a linchpin for AI and other analytics work, which underpins a whole host of processes deemed critical in modern business — from automated processes to personalized customer support.

Technology 137

Technology IT ROI Software 137

Alation

JULY 13, 2021

Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. Businesses with complex data environments need a migration method that takes that complexity into account. The Data Race to the Cloud. This recent cloud migration applies to all who use data.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

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

AUGUST 26, 2021

This means that there is out of the box support for Ozone storage in services like Apache Hive , Apache Impala, Apache Spark, and Apache Nifi, as well as in Private Cloud experiences like Cloudera Machine Learning (CML) and Data Warehousing Experience (DWX). awsAccessKey=s3-spark-user/HOST@REALM.COM. model = fbprophet.Prophet().

Data Science 109

Data Science Forecasting Metadata Machine Learning 109

Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. Sam Charrington, founder and host of the TWIML AI Podcast.

Data Governance 72

Data Governance Strategy Enterprise Machine Learning 72

erwin

AUGUST 28, 2020

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

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. HYBRID & MULTI-CLOUD INNOVATION.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Alation

OCTOBER 28, 2021

Healthcare is changing, and it all comes down to data. Leaders in healthcare seek to improve patient outcomes, meet changing business models (including value-based care ), and ensure compliance while creating better experiences. Data & analytics represents a major opportunity to tackle these challenges.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

datapine

SEPTEMBER 29, 2022

Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business. These needs are then quantified into data models for acquisition and delivery. This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

MARCH 10, 2023

Data can be organized into three different zones, as shown in the following figure. The first zone is the raw zone, where data can be captured from the source as is. The transformed zone is an enterprise-wide zone to host cleaned and transformed data in order to serve multiple teams and use cases.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

CIO Business Intelligence

AUGUST 16, 2023

ChatGPT is capable of doing many of these tasks, but the custom support chatbot is using another model called text-embedding-ada-002, another generative AI model from OpenAI, specifically designed to work with embeddings—a type of database specifically designed to feed data into large language models (LLM).

Modeling 98

Modeling Enterprise Cost-Benefit Data Science 98

Domino Data Lab

OCTOBER 1, 2020

Combining the power of Domino Data Labs with Okera, your data scientists only get access to the columns, rows, and cells allowed, easily removing or redacting sensitive data such as PII and PHI not relevant to training models. So what does this look like? client('s3') obj = s3.get_object(Bucket='clinical-trials',

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

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 78

Metadata Data Lake Data Processing Data-driven 78

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. . GitHub – A provider of Internet hosting for software development and version control using Git.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Alation

MAY 10, 2022

After the pandemic sparked months of chaos and closures, and a complete change in our lives, the world collectively shifted to a work-from-home model that has become the norm for most of us. This year, we hosted employees for a 4-day Company Kickoff (CKO) in Las Vegas that was truly memorable. billion by 2027. Our Solution.

Marketing 52

Marketing Digital Transformation Data Processing Business Intelligence 52

AWS Big Data

APRIL 28, 2023

The first post of this series describes the overall architecture and how Novo Nordisk built a decentralized data mesh architecture, including Amazon Athena as the data query engine. The third post will show how end-users can consume data from their tool of choice, without compromising data governance.

Data Governance 67

Data Governance Management Data-driven Data Lake 67

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Flexible payment options: Businesses don’t have to go through the expense of purchasing software and hardware. 6) Micro-SaaS.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

Enterprise 78

Enterprise Data Integration Data Quality Contextual Data 78

Cloudera

NOVEMBER 12, 2020

Moving to a cloud-only based model allows for flexible provisioning, but the costs accrued for that strategy rapidly negate the advantage of flexibility. . Alternatively, you can also spin up a different compute cluster and access the data by using CDP’s Shared Data Experience. A solution. More than likely it is.

Data Warehouse 102

Data Warehouse Reporting Risk Cost-Benefit 102

IBM Big Data Hub

APRIL 11, 2024

The term governance can be slippery. In the context of AI, it can refer to the safety and ethics guardrails of AI tools and systems, policies concerning data access and model usage or the government-mandated regulation itself. Step 2: Have the government agency that is establishing the policy act as judge for the event.

Risk 78

Risk Consulting Modeling Data Processing 78

CIO Business Intelligence

FEBRUARY 28, 2024

However, getting into the more difficult types of implementations — the fine-tuned models, vector databases to provide context and up-to-date information to the AI systems, and APIs to integrate gen AI into workflows — is where problems might crop up. That’s fine, but language models are great for language. They need stability.

IT 131

IT Consulting Modeling Enterprise 131

Cloudera

OCTOBER 19, 2023

Large 5G networks will host tens of millions of connected devices (somewhere in the 1,000x capacity compared to 4G), each instrumented to generate telemetry data, giving telcos the ability to model and simulate operations at a level of detail previously impossible.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

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.

Internet Publishing and Broadcasting 119

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 119

Alation

SEPTEMBER 30, 2022

They go on to explain that, at $100M in ARR, these companies have product-market fit, a scalable GTM model, and a growing customer base. Everything and Everyone: The Catalog is the platform for Data Intelligence. As that growth accelerates, the need to host all people on one platform grows ever-more important.

Measurement 92

Measurement Metrics Data Governance Sales 92

Alation

FEBRUARY 8, 2022

In this blog, we’ll do the same with data mesh, unpacking the four key pillars, with a few notes on the role of the data catalog. While data fabric takes a product-and-tech-centric approach, data mesh takes a completely different perspective. That model has failed to support rapid data growth.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

CIO Business Intelligence

MARCH 10, 2022

We started a movement towards a rationalized model, and that was a hybrid cloud,” Carver tells CIO.com. To that end, UAB’s next step is to tackle big decisions around expanding its AI and data analytics platforms, says Carver, who is not handling the long-term planning alone.

IT 98

IT Data Lake Digital Transformation Data Governance 98

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 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

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