Smart Data Collective

MAY 31, 2022

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. What is Data Activation? ETL is a form of data integration into a warehouse.

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Data Warehouse Big Data Data-driven Technology 133

CIO Business Intelligence

JULY 18, 2022

Central to Byrdak’s multi-year transformation plan is the expansion of MealConnect, the first nationally available food rescue and sourcing platform, and a new data warehouse to anchor an analytics offering that helps food banks analyze and visualize their food sourcing and distribution data.

Data Warehouse 141

Data Warehouse Dashboards Reporting Manufacturing 141

AWS Big Data

APRIL 29, 2024

Overview of solution The Amber Group ’s Data on EKS Platform (DEP) is a Kubernetes-based, cloud-centered big data platform that revolutionizes the way we handle data in EKS environments. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 101

Management Big Data Metadata Data Warehouse 101

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 127

Business Intelligence Data-driven Statistics Data Warehouse 127

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

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Data Warehouse Cost-Benefit Metadata Data-driven 80

Data Virtualization

FEBRUARY 17, 2022

The post What is Data Virtualization? Understanding the Concept and its Advantages appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. However, every day, companies generate.

IT 81

IT Data Integration Management Data Lake 81

BizAcuity

APRIL 1, 2023

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel.

Insurance 85

Insurance Data Warehouse Data-driven Unstructured Data 85

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. Adding DataOps to ETL processes is the secret to eliminating errors and dramatically improving analytic cycle times.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

AWS Big Data

APRIL 30, 2024

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language.

Data Integration 108

Data Integration Data Lake Data Warehouse Software 108

AWS Big Data

DECEMBER 13, 2023

Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. A batch-based approach can introduce latency in data movement and reduce the value of data for analytics. usually a data warehouse) needs to reflect those changes in near real-time.

Data Warehouse 103

Data Warehouse Snapshot Data Processing Management 103

AWS Big Data

NOVEMBER 10, 2023

Apache Spark is a widely-used open source distributed processing system renowned for handling large-scale data workloads. 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.

Data Processing 97

Data Processing Data Lake Data Warehouse Optimization 97

Ontotext

APRIL 10, 2024

Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience. Drowning in Data, Thirsting for Context We’ve heard the saying, “Data, data everywhere. Teams can’t access data to build their business use cases.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

CIO Business Intelligence

APRIL 25, 2022

You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. Features focus on media and entertainment firms. Partner solutions to boost functionality, adoption.

Recreation/Entertainment 120

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 120

AWS Big Data

APRIL 3, 2024

Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases.

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Data Lake Snapshot Metadata Data Architecture 99

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. For detailed implementation guidance, refer to Unstructured data management and governance using AWS AI/ML and analytics services.

Data Governance 101

Data Governance Unstructured Data Metadata Data Lake 101

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.

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Sales Big Data Marketing Software 141

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. For example, imaging data can be used to show patients how an aligner will change their appearance over time. “It The offensive side?

Unstructured Data 106

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 106

Cloudera

MAY 16, 2019

The conference provides a useful opportunity to reflect on the rapid evolution we’ve seen in the Data Integration and Management space, much of it driven by the innovations that Cloudera and the open source community have been delivering. The traditional Data Warehouse ETL process has splintered into many smaller components.

Analytics 40

Analytics Data Warehouse Data-driven Data Integration 40

Andrew White

OCTOBER 22, 2021

Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13. Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10.

IT 52

IT Data Lake Strategy Data Science 52

CIO Business Intelligence

MARCH 16, 2022

CIO Middle East: Data Analytics is key in healthcare. When we look into the analytics scenario of healthcare, the accurate word to describe it is ‘clinical business intelligence’. The same goes for the adoption of data warehouse and business intelligence. How you see the role of business intelligence in healthcare?

Technology 116

Technology Digital Transformation Business Intelligence Data Warehouse 116

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Because the data describing each transaction was in a database, this made it easy to retrieve and summarize multiple transactions together. Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Data Virtualization

APRIL 11, 2024

Traditional data management approaches just won’t cut it, as they rely on physically replicating data from multiple systems into. The post Modern Data Solutions for the Supply Chain appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management IT Data Warehouse 52

AWS Big Data

OCTOBER 20, 2023

One of the data sources you can now quickly integrate with is Azure Blob Storage, a managed service for storing both unstructured data and structured data, and Azure Data Lake Storage, a data lake for analytics workloads. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

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Data Lake Big Data Consulting Data Warehouse 89

Ontotext

AUGUST 22, 2023

The age of Big Data inevitably brought computationally intensive problems to the enterprise. Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. As a result, organizations have spent untold money and time gathering and integrating data.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. With these insights, teams have the visibility to make data integration pipelines more efficient.

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Metrics Visualization Dashboards Interactive 111

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

NOVEMBER 20, 2023

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Metrics 100

Metrics Data Lake Cost-Benefit Dashboards 100

BizAcuity

MAY 16, 2022

Fast food companies like Domino’s, McDonald’s and KFC collect massive amounts of data which includes customer data and other key business metrics for their own operations. Also, it is using customer data that they experiment and roll out new products every month. Data Integration. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Data Virtualization

MARCH 7, 2024

Reading Time: 3 minutes As we move deeper into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies. One thing is clear; if data-centric organizations want to succeed in.

Management 59

Management Data Integration Strategy Data Lake 59

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. AWS Glue released version 4.0 runtime ( 3.5 AWS Glue released version 4.0 runtime ( 3.5

Testing 81

Testing Data Lake Cost-Benefit Data Integration 81

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. Established, mature technologies represent an integral part of DMSA. Moving processing to data creates the need for multi-cloud. Cloudera’s 3 Key Takeaways.

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Management Metadata Analytics Machine Learning 42

Data Virtualization

NOVEMBER 11, 2021

In the last few years, data virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh. Gartner recently named it “a must-have data.

Data Warehouse 52

Data Warehouse Data Architecture Technology IT 52

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. It takes days for data engineers to identify and implement data quality rules.

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

Alation

JULY 28, 2022

There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. And what must organizations overcome to succeed at cloud data warehousing ?

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Data Virtualization

JANUARY 25, 2024

Reading Time: 3 minutes As we head into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies.

Management 59

Management Data Integration Strategy Data Lake 59