Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse Machine Learning Cost-Benefit 94

Cloudera

JULY 18, 2018

Additionally, organizations are increasingly restrained due to budgetary constraints and having limited data sciences resources. It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 84

Data Lake Data Warehouse Machine Learning Cost-Benefit 84

AWS Big Data

NOVEMBER 10, 2023

Amazon Redshift offers seamless integration with Apache Spark, allowing you to easily access your Redshift data on both Amazon Redshift provisioned clusters and Amazon Redshift Serverless. These tables are then joined with tables from the Enterprise Data Lake (EDL) at runtime. options(**read_config).option("query",

Data Processing 93

Data Processing Data Lake Data Warehouse Optimization 93

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt. Easy to report problems and receive updates on fixes.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference. Starting with Amazon EMR release 6.7.0,

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

IBM Big Data Hub

JANUARY 19, 2024

The future of customer experience (CX) is more : more data, more technology, more surprising and delighting. It’s also more pressure to retain those customers, whether those interactions happen online or in-store. As such, future CX strategies will be more data-driven than ever before.

Data-driven 85

Data-driven Consulting Interactive Data Lake 85

AWS Big Data

FEBRUARY 29, 2024

The need for an end-to-end strategy for data management and data governance at every step of the journey—from ingesting, storing, and querying data to analyzing, visualizing, and running artificial intelligence (AI) and machine learning (ML) models—continues to be of paramount importance for enterprises.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

Corinium

JUNE 6, 2019

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. Newer methods can work with large amounts of data and are able to unearth latent interactions.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

OCTOBER 21, 2022

Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone. Chipotle’s digital business in 2022 was $3.5

Digital Transformation 143

Digital Transformation Data Lake Forecasting Technology 143

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 76

Data Lake Testing Interactive Unstructured Data 76

AWS Big Data

MARCH 21, 2024

You want real-time access to this data so you can monitor performance in real time, and detect and mitigate issues quickly. You also need longer-term access to this data for machine learning (ML) models to run predictive maintenance assessments, find optimization opportunities, and forecast demand.

Data Lake 96

Data Lake Management Modeling Optimization 96

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 69

Analytics Data Warehouse Data Lake Data-driven 69

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning.

Data Quality 95

Data Quality Statistics Data Lake Visualization 95

AWS Big Data

APRIL 26, 2023

To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub. In 2019, the BMW Group decided to re-architect and move its on-premises data lake to the AWS Cloud to enable data-driven innovation while scaling with the dynamic needs of the organization.

Forecasting 122

Forecasting Manufacturing Data Lake Big Data 122

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 120

Data Lake Testing Big Data Management 120

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

CIO Business Intelligence

JUNE 1, 2022

At the bottom of the pyramid are conversational capabilities that interact like a human. We can take what we’ve captured digitally to start driving real value at the second layer, which is full automation and where the machine starts to self-learn. The whole inverted pyramid creates a closed-loop customer interaction. .

IT 78

IT Interactive Marketing Consulting 78

CIO Business Intelligence

MARCH 13, 2023

“You need to understand which applications are talking to others, what infrastructure is supporting those applications, where data is being stored, and what condition it is in,” he explains. The cloud gives banking organizations the ability to take core processes to the next level, to build and customize new services and monetize data.

Finance 52

Finance Data-driven Data Lake Cost-Benefit 52

CIO Business Intelligence

DECEMBER 1, 2022

Blending analytics and AI Since taking over, Kanioura has applied the expertise she developed as chief analytics and AI officer at Accenture to advance PepsiCo’s data infrastructure, a strategy that includes building out a data lake and AI capabilities with partners such as Microsoft and Databricks.

Digital Transformation 126

Digital Transformation IoT Data-driven KPI 126

CIO Business Intelligence

SEPTEMBER 8, 2022

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis.

Cost-Benefit 110

Cost-Benefit Internet of Things Data-driven Data Lake 110

AWS Big Data

MARCH 27, 2023

In this workflow, data is written to Amazon S3 through the Confluent S3 sink connector and then analyzed with Athena, a serverless interactive analytics service that enables you to analyze and query data stored in Amazon S3 and various other data sources using standard SQL. Choose Create data source. Choose Next.

Visualization 76

Visualization Data Lake Interactive Data-driven 76

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). They are used in everything from robotics to tools that reason and interact with humans.

Risk 70

Risk Modeling Management Metadata 70

Sisense

JUNE 11, 2019

All these devices funnel more and more bits of data into warehouses and lakes the world over and that data is bought, sold, shared, sliced, diced, and drilled into to reveal a wide array of insights (it also gets totally ignored until someone figures out what to do with it). What’s Next?

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

CIO Business Intelligence

JULY 12, 2023

AI improves diaper manufacturing “All areas of P&G’s business are being impacted by emerging technologies like automation, AI, and machine learning,” says Vittorio Cretella, CIO of Procter & Gamble. We created a data lake, so we have access to all that data in a very efficient way,” says Papermaster.

Manufacturing 94

Manufacturing Cost-Benefit Data Lake Optimization 94

IBM Big Data Hub

JULY 5, 2022

Real-time warehousing with continual data ingestion, so analysts can enjoy low-latency analytics . Perform heavy-computational analysis and machine learning all within the Db2 database. Via analyzes customer interactions to improve AI assistance . Vektis improves healthcare quality through data .

Data Lake 86

Data Lake Data Warehouse Publishing Structured Data 86

Cloudera

JANUARY 15, 2021

Impala has a longstanding reputation for high performance and concurrency, low latency for interactive queries, and the CPU efficiency of it’s C++ backend with dynamic code generation based on LLVM. As part of the broader CDP, CDW participates in a centralized security and governance model managed by CDP’s Shared Data Experience (SDX).

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

Cloudera

AUGUST 27, 2020

To do this Manulife’s in-house data team built an Enterprise Data Lake (EDL) — a robust, enterprise-wide, data backend supporting digital connection, report automation, and AI & advanced analytics development. They wanted a holistic view of their customers, in order to provide better services.

Internet of Things 102

Internet of Things Data Lake Uncertainty IoT 102

AWS Big Data

AUGUST 22, 2023

This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. It can also automatically scale resources to meet the requirements of your data processing job, providing a high level of abstraction and convenience.

Data Processing 88

Data Processing Testing Data Lake Data Integration 88

Cloudera

DECEMBER 21, 2020

You will learn all the parts of Cloudera’s Data Platform that together will accelerate your everyday Data Worker tasks. This demo-guided blog aims to inspire further curiosity and learning, as well as fuel a fruitful, interactive dialogue – we welcome you to reach out to us if any particular part piques your interest. .

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 77

Data Lake Data Warehouse Sales Data-driven 77

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 85

Machine Learning Data Lake Reporting Modeling 85

erwin

JUNE 7, 2022

The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Machine Learning. Star schema: a data modeling and database design paradigm for data warehouses and data lakes. Business Focus. Operational.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Sisense

JUNE 12, 2019

Having the data preparation, model development, and application deployment covered, there’s still a data skill gap in the developers who will operate these systems. Data literacy and data skills, which created the forgotten dark data lakes in the first place, are still scarce. Building a Better Tomorrow.

Analytics 75

Analytics Data-driven Dashboards IoT 75