Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Data Warehouse 89

Data Warehouse Measurement Reporting Testing 89

CIO Business Intelligence

SEPTEMBER 26, 2023

The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud. The annual ceremony celebrates organizations incorporating SAP technologies to effect change. Artificial Intelligence

Machine Learning 91

Machine Learning Forecasting Measurement Data Warehouse 91

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction.

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Data Warehouse Cost-Benefit Consulting Interactive 94

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. The Stripe Data Pipeline is powered by the data sharing capability of Amazon Redshift.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

CIO Business Intelligence

MARCH 8, 2023

SAP’s Data Warehouse Cloud is evolving, gaining new features and a new name, Datasphere, as the company addresses continued diversification of the enterprise data. Khan said SAP is going beyond the usual capabilities of a data fabric by preserving the business context of the data it carries. “But

Data Warehouse 52

Data Warehouse Metadata Enterprise Machine Learning 52

O'Reilly on Data

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. Lessons Learned from Data Warehouse and Data Engineering Platforms. A little of both?

Data Science 352

Data Science Machine Learning Data Warehouse Deep Learning 352

Cloudera

JANUARY 11, 2021

In data-driven organizations, to fulfill its charter to democratize data and provide on-demand, quality computing services in a secure, compliant environment, IT must replace legacy approaches and update technologies. There needs to emerge data-first, self-service replacement for these old systems. billion dollars.’.

Data Warehouse 62

Data Warehouse Data Lake Cost-Benefit Machine Learning 62

O'Reilly on Data

FEBRUARY 19, 2021

MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice. The Time Is Now to Adopt Responsible Machine Learning. Data use is no longer a “wild west” in which anything goes; there are legal and reputational consequences for using data improperly.

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Data Lake Data Warehouse Machine Learning Modeling 286

Jen Stirrup

MAY 5, 2020

How can you differentiate the different opportunities to store your data in Azure? Now, it may not sound that interesting, but it’s crucial; if you don’t have your data, then you don’t have your business. So how do you choose which data source is right for your needs?

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The company now has several business processes fully automated with homegrown code and AI.

Data Lake 110

Data Lake Machine Learning Data Warehouse Unstructured Data 110

CDW Research Hub

JULY 22, 2019

Companies today are struggling under the weight of their legacy data warehouse. These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

Cloudera

MAY 30, 2024

Key use cases include customer journey/customer 360, regulatory compliance, financial crime prevention, risk management, market risk, credit risk, liquidity risk, operational risk, systemic risk, climate risk, intraday risk management, finance, integrated risk and finance view, treasury management, advanced analytics, and emerging technology.

Data Analytics 79

Data Analytics Risk Management Digital Transformation Analytics 79

IBM Big Data Hub

APRIL 24, 2023

Innovative organizations sought modern solutions to manage larger data capacities and attain secure storage solutions, helping them meet consumer demands. One of these advances included the accelerated adoption of modernized data warehousing technologies. Modern data warehousing technology can handle all data forms.

Data Warehouse 91

Data Warehouse Data Lake Cost-Benefit Enterprise 91

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Data Warehouse Data Lake Analytics Machine Learning 103

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. This data needs to be seamlessly joined in the analytics he wants to provide to the researchers he will support. The Vision of a Discovery Data Warehouse.

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Data Warehouse Unstructured Data Analytics Visualization 58

AWS Big Data

MAY 16, 2024

In this post, we discuss how Amazon Redshift spatial index functions such as Hexagonal hierarchical geospatial indexing system (or H3) can be used to represent spatial data using H3 indexing for fast spatial lookups at scale. Navigating the vast landscape of data-driven insights has always been an exciting endeavor.

Data Warehouse 109

Data Warehouse Visualization Cost-Benefit Optimization 109

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

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Data Lake Data Warehouse Business Intelligence Machine Learning 52

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. Today is a revolutionary moment for Artificial Intelligence (AI). AI is already driving results for business. Watsonx.ai

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Data Warehouse Machine Learning Cost-Benefit Metadata 107

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. Langchain) and LLM evaluations (e.g.

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Management Metrics Data Processing Data Lake 78

CIO Business Intelligence

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We For Guadagno, the need to match vaccine availability with patient demand came at the right moment, technologically speaking. Enter the data lakehouse. You can intuitively query the data from the data lake.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

Octopai

NOVEMBER 5, 2019

Is your data going somewhere? No, we’re not talking about databases going AWOL or data warehouses getting a little R&R at the beach. We’re talking about migrations from one system to another, or combining data from different systems into a single system or warehouse.

Machine Learning 44

Machine Learning Metadata Data Governance Data Warehouse 44

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

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Data Lake Data Warehouse Unstructured Data Data Architecture 127

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend data integration software offers an open and scalable architecture and can be integrated with multiple data warehouses, systems and applications to provide a unified view of all data. Its code generation architecture uses a visual interface to create Java or SQL code.

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Management Data Warehouse Data Quality Data Integration 320

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. This enables data-driven decision-making across the organization.

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Data-driven Data Lake Data Quality Data Governance 97

CIO Business Intelligence

JUNE 29, 2022

Taking the broadest possible interpretation of data analytics , Azure offers more than a dozen services — and that’s before you include Power BI, with its AI-powered analysis and new datamart option , or governance-oriented approaches such as Microsoft Purview. Azure Data Factory. Azure Data Lake Analytics.

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Data Lake Analytics Data Warehouse Machine Learning 105

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

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 126

Machine Learning Cost-Benefit Data-driven Strategy 126

Cloudera

DECEMBER 12, 2018

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

CIO Business Intelligence

APRIL 5, 2022

Investment in data warehouses is rapidly rising, projected to reach $51.18 billion by 2028 as the technology becomes a vital cog for enterprises seeking to be more data-driven by using advanced analytics. Data warehouses are, of course, no new concept. More data, more demanding. “As

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Data Warehouse Visualization Data-driven Data Architecture 83

DataKitchen

JULY 27, 2023

You can use it for big data analytics and machine learning workloads. Azure Databricks Delta Live Table s: These provide a more straightforward way to build and manage Data Pipelines for the latest, high-quality data in Delta Lake. It provides data prep, management, and enterprise data warehousing tools.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

CIO Business Intelligence

DECEMBER 19, 2022

CIO.com caught up with Mittal to know more about his plans for the innovation lab, as well as the technology strategy for the financial services company. CIO.com: What solutions will come up at the innovation lab and which technologies would you be leveraging for developing them? How are you boosting the bottom line through technology?

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Data Warehouse Finance Machine Learning Technology 113

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

Data Architecture 122

Data Architecture Data Warehouse Statistics Visualization 122

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

Data Warehouse 88

Data Warehouse Data Lake Optimization Data-driven 88

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. Data sharing provides live access to data so that you always see the most up-to-date and consistent information as it’s updated in the data warehouse.

Big Data 68

Big Data Data Warehouse Advertising OLAP 68

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

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Enterprise Experimentation Machine Learning Modeling 105