Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.

Data Lake 91

Data Lake IoT Internet of Things Data-driven 91

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Unfortunately, with data spread.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. The post Announcing the 2021 Data Impact Awards appeared first on Cloudera Blog.

Digital Transformation 71

Digital Transformation Machine Learning Optimization Data Lake 71

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Enable responsible, transparent and explainable data and AI workflows with watsonx.governance.

Risk 71

Risk Modeling Management Metadata 71

Cloudera

JANUARY 24, 2022

The company used Cloudera Data Science Workbench to create data-centric applications and solutions. Working with Cloudera, Keck created a data lake that eliminated manual data collection errors and gave visibility organization-wide. You can become a data hero too.

Data Lake 67

Data Lake Risk Machine Learning Data Collection 67

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS brings the power of GPU compute to standard Data Science operations, be it exploratory data analysis, feature engineering or model building.

Machine Learning 139

Machine Learning Data Science Data Lake Modeling 139

Alation

FEBRUARY 13, 2020

In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”.

Metadata 52

Metadata Management Data Lake Data Governance 52

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . Assumptions.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

CIO Business Intelligence

SEPTEMBER 21, 2023

“We’re still in the early phases of this,” says Donncha Carroll, partner in the revenue growth practice and head of the data science team at Lotis Blue Consulting. Many data science tools and base models are open source, or are based heavily on open-source projects. Artificial Intelligence, Machine Learning

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

AWS Big Data

APRIL 18, 2024

This is a guest blog post co-authored with Atul Khare and Bhupender Panwar from Salesforce. The Normalized Parquet Logs are stored in an Amazon Simple Storage Service (Amazon S3) data lake and cataloged into Hive Metastore (HMS) on an Amazon Relational Database Service (Amazon RDS) instance based on S3 event notifications.

Optimization 88

Optimization Data Lake Management Key Performance Indicator 88

Sisense

JUNE 12, 2019

Stay tuned for more blogs by me as we roll these capabilities out!). For all the people in the data, or should I say “Python” business, it’s a long way from the development environment (e.g. It also deals with the volumes of training data, model ensemble performance, and dependencies on the external libraries and toolkits.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Cloudera

DECEMBER 8, 2020

You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. First, it makes data privacy easier. Since the data is never transferred to a central location, the data cannot be aggregated or combined with other data.

Machine Learning 88

Machine Learning Data Lake Reporting Modeling 88

Data Virtualization

JUNE 29, 2023

However, the pain is real when it comes to data integration and data management, but today’s enterprise architects are racing to build modern data infrastructures using data fabric, The post Data Management Challenges Solved – The Denodo Platform on Alibaba Cloud, Coming to a Data Center Near You appeared first on Data Management Blog - Data (..)

Management 52

Management Data Integration Enterprise Data Lake 52

Data Virtualization

JUNE 8, 2023

The post ChatGPT and Data Fabric are Streamlining the Field of Business Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Technology Modeling Management 52

Cloudera

JULY 9, 2018

Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Most organizations struggle to unlock data science in the enterprise. It’s powerful features finally get data scientists, analysts, and business teams speaking the same language. Why the Data Science Iron Triangle Matters.

Machine Learning 42

Machine Learning Data Science Testing Visualization 42

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. They are headquartered in Helsinki, Finland, and operates globally in over 100 countries.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

IBM Big Data Hub

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI. How does an open data lakehouse architecture support AI? All of this supports the use of AI.

Data Lake 78

Data Lake Metadata Cost-Benefit Data Warehouse 78

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Towards Data Science ). Forrester ).

Data Architecture 82

Data Architecture Data Lake Metadata Data Warehouse 82

Cloudera

OCTOBER 7, 2022

Cloudera’s mission, values, and culture have long centered around using open source engines on open data and table formats to enable customers to build flexible and open data lakes. CDP Public Cloud via Cloudera Machine Learning. CDP Private Cloud via Cloudera Data Science Workbench.

Data Warehouse 84

Data Warehouse Data Transformation Testing Data Lake 84

Cloudera

DECEMBER 13, 2022

Or better yet, “How do we empower people with enterprise data solutions that amplify positive outcomes in the security operations center?”. The world is awash in data. The Cloudera Data Platform (CDP) is a hybrid data platform for all your end-to-end machine learning (ML) production use cases.

Machine Learning 81

Machine Learning Experimentation Data Lake Data Processing 81

IBM Big Data Hub

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. models are trained on IBM’s curated, enterprise-focused data lake. That’s where the foundation model enters the picture. All watsonx.ai

Modeling 55

Modeling Cost-Benefit Data Lake Machine Learning 55

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. The solution implemented the Cloudera Data Platform (CDP) to better support high-performance computing.

Data Lake 80

Data Lake Cost-Benefit Digital Transformation Risk 80

Cloudera

DECEMBER 15, 2022

New capabilities such as multi-cloud deployment, ACID compliance, and enhanced multi-function analytics accelerate implementation for the multi-cloud open data lakehouse to meet ever-evolving requirements for modern data warehouse, data lake, AI/ML, data science, and more. .

Metadata 82

Metadata Data Warehouse Snapshot Data Quality 82

IBM Big Data Hub

JULY 17, 2023

In this blog, I will cover: What is watsonx.ai? is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. What capabilities are included in watsonx.ai? What is watsonx.data? How can you get started today?

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Cloudera

NOVEMBER 18, 2020

OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. This enabled Merck KGaA to control and maintain secure data access, and greatly increase business agility for multiple users.

Internet Publishing and Broadcasting 124

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 124

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Metadata 105

Metadata Machine Learning Unstructured Data Data Lake 105

IBM Big Data Hub

APRIL 27, 2022

Since its uniquely metadata-driven, the abstraction layer of a data fabric makes it easier to model, integrate and query any data sources, build data pipelines, and integrate data in real-time. This improves data engineering productivity and time-to-value for data consumers. What’s a data mesh?

Management 80

Management Metadata Data Architecture Data Lake 80

Cloudera

JANUARY 21, 2021

Storing data in a proprietary, single-workload solution also recreates dangerous data silos all over again, as it locks out other types of workloads over the same shared data. The Data Lake service in Cloudera’s Data Platform provides a central place to understand, manage, secure, and govern data assets across the enterprise.

Data Lake 95

Data Lake Data Warehouse IT Analytics 95

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. 5) Data Analytics Made Accessible, by Dr. Anil Maheshwari. Best for : the new intern who has no idea what data science even means. The author, Anil Maheshwari, Ph.D.,

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Watsonx.ai

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

Domino Data Lab

JUNE 15, 2021

These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. The typical data science journey for a company starts with a small team that is tasked with a handful of specific problems.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

IBM Big Data Hub

DECEMBER 7, 2023

Here’s an overview of the key characteristics: AI-powered analytics : Integration of AI and machine learning capabilities into OLAP engines will enable real-time insights, predictive analytics and anomaly detection, providing businesses with actionable insights to drive informed decisions.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

Cloudera

NOVEMBER 29, 2021

Carrefour Spain , a branch of the larger company (with 1,250 stores), processes over 3 million transactions every day, giving rise to challenges like creating and managing a data lake and honing down key demographic information. . Working with Cloudera, Carrefour Spain was able to create a unified data lake for ease of data handling.

Data Lake 80

Data Lake Data Warehouse Data Architecture Reporting 80

Alation

FEBRUARY 13, 2020

The re-insurance product that they introduced was inspired by collaboration between geographically dispersed teams coming together through the Alation Data Catalog. With the introduction of a new data lake, MunichRe created a new way for actuaries and business experts to explore new product concepts and test new markets.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

Alation

APRIL 14, 2022

For example, data science always consumes “historical” data, and there is no guarantee that the semantics of older datasets are the same, even if their names are unchanged. Pushing data to a data lake and assuming it is ready for use is shortsighted. Subscribe to Alation's Blog.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management 104

Management Metrics Cost-Benefit Data Lake 104