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. Iterations of the lakehouse.

Data Lake 82

Data Lake Data Warehouse Machine Learning Cost-Benefit 82

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

Cloudera

DECEMBER 14, 2022

OCBC identified the need to upgrade its data lake technology as part of an enterprise data science initiative to introduce a more resilient infrastructure and platform capable of managing projects with increasing volume, variety and velocity of data, while also enabling real-time analytics. .

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Cloudera

JUNE 2, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Every organization on the hybrid cloud journey needs the ability to take control of their data flows from origination through all points of consumption.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

Cloudera

OCTOBER 11, 2021

Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x. Modak Nabu reliably curates datasets for any line of business and personas, from business analysts to data scientists. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

CIO Business Intelligence

APRIL 25, 2024

At a minimum, your DIY cloud cost optimization team will require an enterprise architect who understands the technology, says Garcia, who also recommends a financial developer or somebody with financial and data science experience. You can then start building data lakes and models around your data.

Management 108

Management Optimization Strategy Enterprise 108

AWS Big Data

MARCH 5, 2024

Amazon EMR Studio is a unified data analysis environment where you can develop data engineering and data science applications. You can now develop and run interactive queries on Amazon Athena from EMR Studio (for more details, refer to Amazon EMR Studio adds interactive query editor powered by Amazon Athena ).

Data Lake 85

Data Lake Management Dashboards Data-driven 85

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. SSB provides a comprehensive interactive user interface for developers, data analysts, and data scientists to write streaming applications with industry standard SQL. Without context, streaming data is useless.”

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

CIO Business Intelligence

JULY 13, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Every organization on the hybrid cloud journey needs the ability to take control of their data flows from origination through all points of consumption.

Enterprise 60

Enterprise Data Lake Data Collection Data-driven 60

CIO Business Intelligence

OCTOBER 4, 2023

At the lowest layer is the infrastructure, made up of databases and data lakes. The fourth is called the merchant, consumer, and developer experience layer, which includes the web interface, mobile applications, and APIs that allow customers to use PayPal’s service interactively and programmatically.

Digital Transformation 122

Digital Transformation Deep Learning Data Lake Risk 122

Cloudera

DECEMBER 8, 2020

Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Instead of collecting data on a single server or data lake, it remains in place — on smartphones, industrial sensing equipment, and other edge devices — and models are trained on-device. The Turbofan Tycoon prototype.

Machine Learning 85

Machine Learning Data Lake Reporting Modeling 85

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. The need to balance detail and context while maintaining real-time interactivity can lead to issues of scalability and rendering complexity. To learn more, visit CARTO.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

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. EVA unifies data from MTN’s different operator systems, creating a 360° view of subscribers.

Data Lake 77

Data Lake Cost-Benefit Digital Transformation Risk 77

Cloudera

JANUARY 18, 2022

With a solution based on Cloudera Data Science Workbench (CDSW), the bank implemented a more streamlined loan approval process that reduced processing time from a week to just hours. As a result of this innovative data solution, the company helped customers while keeping its default rate low. .

Data Lake 96

Data Lake Digital Transformation Data-driven Dashboards 96

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 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

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. This could be your data lake or application S3 bucket.

Reporting 87

Reporting Data Lake Management Optimization 87

CDW Research Hub

DECEMBER 4, 2019

It operates as a consistent data management framework to manage, move and protect data across disparate sources. Microsoft Azure Data Lake provides a way to store the data, and Snowflake acts as the data fabric in your journey.

Data Warehouse 52

Data Warehouse Data mining Data Lake Dashboards 52

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Strategy 119

Strategy Data Science Marketing Unstructured Data 119

Cloudera

JULY 18, 2018

To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities. Additionally, organizations are increasingly restrained due to budgetary constraints and having limited data sciences resources.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

IBM Big Data Hub

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. How to scale AL and ML with built-in governance A fit-for-purpose data store built on an open lakehouse architecture allows you to scale AI and ML while providing built-in governance tools.

Risk 70

Risk Modeling Management Metadata 70

AWS Big Data

MARCH 7, 2023

Amazon Athena is a serverless, interactive analytics service built on open-source frameworks, supporting open-table and file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. He has over 5 years of experience working in the field of big data and data science.

Data Lake 90

Data Lake Data-driven Big Data Interactive 90

AWS Big Data

FEBRUARY 21, 2023

The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs. Amazon Redshift RA3 instances and Amazon Redshift Serverless are perfect choices for a data vault.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

bridgei2i

MARCH 3, 2021

Any specific client interaction you felt Prinkan recently, maybe you can share some interesting use cases on that? Curious to know, like, what keeps you busy apart from data, lakes and technologies, what we just discussed? Thanks for making the time for this interaction today. Pavan: Prinkan, loved the conversation.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

Data Virtualization

MARCH 23, 2023

Innovative new technologies are redefining the sector, shaping the services that financial organizations offer, the ways in which they interact with consumers, and the ways in which they apply. Reading Time: 3 minutes The financial services sector is accelerating its adoption of digital technology.

Interactive 52

Interactive Data Integration Technology Management 52

Data Virtualization

MARCH 23, 2023

Innovative new technologies are redefining the sector, shaping the services that financial organizations offer, the ways in which they interact with consumers, and the ways in which they apply. Reading Time: 3 minutes The financial services sector is accelerating its adoption of digital technology.

Interactive 52

Interactive Data Integration Technology Management 52

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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

Sisense

JANUARY 15, 2021

The modern data team has gained traction in large part thanks to the startups in Silicon Valley that have put an emphasis on collecting, analyzing, and commoditizing data. These younger companies have invested in talent with specific data science skills, particularly with code-driven data analytics.

Analytics 75

Analytics Data-driven Business Intelligence Visualization 75

AWS Big Data

JULY 14, 2023

For example, data producers need to onboard their dataset to the global catalog, and complete their permissions management before they can share that with consumers. We made interaction, including producer-consumer onboarding, data access request, approvals, and governance, quicker through the self-service tools in our application.

Finance 83

Finance Metadata Big Data Recreation/Entertainment 83

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Sisense

JUNE 12, 2019

For all the people in the data, or should I say “Python” business, it’s a long way from the development environment (e.g. The operational data science pipeline should be able to ingest new data hand in hand with the continuous support of model improvement which keeps the production system stable.

Analytics 75

Analytics Data-driven Dashboards IoT 75

CIO Business Intelligence

JUNE 29, 2022

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Azure Data Explorer is used to store and query data in services such as Microsoft Purview, Microsoft Defender for Endpoint, Microsoft Sentinel, and Log Analytics in Azure Monitor.

Data Lake 111

Data Lake Analytics Data Warehouse Machine Learning 111

Andrew White

JANUARY 11, 2021

As such a head of analytics, BI and data science may emerge. Are you anticipating continued separation of “BI/Analytics” teams from “Data Science” teams or are those roles merging in the years ahead? Many data science labs are set up as shared services. That’s the idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Rita Sallam

AUGUST 17, 2016

For the past couple of years, Gartner has been describing the next wave of BI market disruption, smart data discovery, which Beyondcore has pioneered (along with IBM Watson Analytics, SparkBeyond and DataRPM). Here is what we know about Workday’s plans for Platfora: Workday will no longer sell Platfora as a standalone offering.

Scorecard 40

Scorecard Visualization Sales Marketing 40