CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. A risk issue in one financial institution could result in a domino effect for many.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 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. The end benefit for you is more effective and optimized AWS Glue for Apache Spark workloads.

Metrics 98

Metrics Data Lake Cost-Benefit Dashboards 98

CIO Business Intelligence

OCTOBER 1, 2022

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

APRIL 29, 2022

This would be straightforward task were it not for the fact that, during the digital-era, there has been an explosion of data – collected and stored everywhere – much of it poorly governed, ill-understood, and irrelevant. Further, data management activities don’t end once the AI model has been developed. Addressing the Challenge.

Data Governance 145

Data Governance IT Risk Data Lake 145

AWS Big Data

MARCH 29, 2024

Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. Outside of work, Xiaorun enjoys exploring new places in the Bay Area.

Metrics 108

Metrics Visualization Dashboards Interactive 108

erwin

OCTOBER 8, 2020

By using automated and repeatable capabilities, you can quickly and safely migrate data to the cloud and govern it along the way. But transforming and migrating enterprise data to the cloud is only half the story – once there, it needs to be governed for completeness and compliance. GDPR, CCPA, HIPAA, SOX, PIC DSS).

Data Governance 145

Data Governance Metadata Testing Data Lake 145

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. DeeQu is optimized to run data quality rules in minimal passes that makes it efficient.

Data Quality 95

Data Quality Statistics Data Lake Visualization 95

CIO Business Intelligence

AUGUST 2, 2023

Historically, we drove productivity through Lean Six Sigma and optimizing workflows. we’re putting sensors across our manufacturing processes, which give us vast sums of data our leaders use to rethink those processes. At the consumable layer, we decide how people will consume the revenue data. But with the advent of Industry 4.0,

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

BizAcuity

MAY 16, 2022

When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. We get critical business insights based on how well we leverage our business data. The more effectively a company uses data, the better it performs. Data Integration.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

AWS Big Data

FEBRUARY 8, 2023

Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway. In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. Prahalathan M is the Data Integration Architect at Vyaire Medical Inc.

Testing 74

Testing Data Integration Data Lake Enterprise 74

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

JULY 19, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. He is dedicated to deploying and utilizing enterprise-level applications on AWS Cloud services.

Big Data 83

Big Data Software Consulting Unstructured Data 83

Andrew White

OCTOBER 22, 2021

Monetization/Link data to outcome (value pyramid) business value of data/business impact 20. Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13. Lakehouse (data warehouse and data lake working together) 8.

IT 52

IT Data Lake Strategy Data Science 52

Cloudera

JUNE 1, 2021

We are leading the way with CDP – the industry’s first Enterprise Data Cloud, and the only true hybrid and multi-cloud solution purpose-built to address the complete data lifecycle – from the Edge to AI. And, the Enterprise Data Cloud category we invented is also growing. Our strategy.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Jet Global

OCTOBER 7, 2020

In the future, customers will be able to deploy Data Entities and replicate transactional tables in an Azure Data Lake. This includes the ability to drill down through live D365 F&SCM data through balances, journal entries, and into subledger transactions to find and fix data integrity and reconciliation issues fast.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

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.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

AWS Big Data

MAY 3, 2023

In today’s data-driven business environment, organizations face the challenge of efficiently preparing and transforming large amounts of data for analytics and data science purposes. Businesses need to build data warehouses and data lakes based on operational data.

Data Lake 82

Data Lake Data Warehouse Data-driven Optimization 82

CIO Business Intelligence

FEBRUARY 22, 2024

After putting in place the right data infrastructure and governance for ESG reporting, ensuring the enterprise has the right ESG reporting tools in place is critical. Even more importantly, both the Microsoft and ServiceNow modules will use the same enterprise ESG data sets, which Karcher is moving to the Allianz data lake this year.

Software 98

Software Reporting KPI Enterprise 98

AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. Businesses often rely on Amazon Simple Storage Service (Amazon S3) for storing large amounts of data from various data sources in a cost-effective and secure manner.

IT 98

IT Visualization Machine Learning Data Integration 98

AWS Big Data

FEBRUARY 13, 2024

Monitoring data pipelines in real time is critical for catching issues early and minimizing disruptions. AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue.

Metrics 101

Metrics Dashboards Visualization Key Performance Indicator 101

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

NOVEMBER 29, 2023

Knowledge Bases works with popular vector databases and engines including Amazon OpenSearch Serverless , Redis Enterprise Cloud, and Pinecone, with support for Amazon Aurora and MongoDB coming soon. You also need services to store data for analysis and machine learning (ML) like Amazon Simple Storage Service (Amazon S3).

Data Warehouse 111

Data Warehouse Data Lake Data Integration Dashboards 111

Cloudera

MARCH 23, 2022

By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). Let’s highlight some of those benefits, and why choosing CDP and Iceberg can future proof your next generation data architecture. . 4: Enterprise grade. 1: Multi-function analytics .

Metadata 88

Metadata Data Architecture Machine Learning Cost-Benefit 88

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. This is one of the biggest hurdles with the data vault approach. What is a data vault?

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

IBM Big Data Hub

OCTOBER 12, 2023

Ensuring compliance with governmental regulatory requirements as well as internal policies An AI model must be fully understood from every angle, inside and out—from what enterprise data is used and when , to how the model arrived at a certain output. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 82

Cost-Benefit Metadata Data Governance Modeling 82

Cloudera

SEPTEMBER 12, 2022

A data fabric answers perhaps the biggest question of all: what data do we have to work with? Managing and making individual data sources available through traditional enterprise data integration, and when end users request them, simply does not scale — especially in light of a growing number of sources and volume.

Unstructured Data 72

Unstructured Data Data Architecture Data Lake Snapshot 72

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Finally, data integrity is of paramount importance. Every event in the data source can be relevant, and our customers don’t tolerate data loss, poor data quality, or discrepancies between the source and Tricentis Analytics.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MARCH 29, 2024

This allows IT to evolve from reactive problem-solving to proactive optimization. By collecting device and application events, processing them in real time, and storing them, our platform analyzes data to solve problems and boost experiences for over 15 million employees across five continents.

Cost-Benefit 93

Cost-Benefit Data-driven Metrics Management 93

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses. Let’s summarize very quickly.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager (CM) 6.2

Metadata 85

Metadata Data Lake Optimization Strategy 85

BI-Survey

NOVEMBER 23, 2021

The transactional data was stored in isolated data sets and initially served only one purpose, namely, to document the transaction that had taken place. Over time, enterprises realized that data is worth more. Thus, alternative data architecture concepts have emerged, such as the data lake and the data lakehouse.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

AWS Big Data

NOVEMBER 13, 2023

KEY003 | Swami Sivasubramanian (Vice President, Data and AI at AWS) | Nov. 29 | 8:30 AM – 10:30 AM (PDT) A powerful relationship between humans, data, and AI is unfolding right before us. 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities.

Data Lake 106

Data Lake Management Metrics Data Warehouse 106