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 126

Business Intelligence Data-driven Statistics Data Warehouse 126

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems.

Insurance 87

Insurance Data Warehouse Data-driven Unstructured Data 87

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?

Data Warehouse 81

Data Warehouse Cost-Benefit Metadata Data-driven 81

Data Virtualization

MARCH 9, 2023

Reading Time: 3 minutes The Denodo Platform, which simplifies data management with real-time data access across myriad different data sources, can be flexibly installed on-premises or in the cloud, as a cloud-native implementation, to enable a wide range of use cases. Denodo has been.

Analytics 52

Analytics Data Integration Management Data Warehouse 52

Data Virtualization

MARCH 9, 2023

Reading Time: 3 minutes The Denodo Platform, which simplifies data management with real-time data access across myriad different data sources, can be flexibly installed on-premises or in the cloud, as a cloud-native implementation, to enable a wide range of use cases. Denodo has been.

Analytics 52

Analytics Data Integration Management Data Warehouse 52

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 106

Data Integration Data Lake Data Warehouse Software 106

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

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

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. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

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.

Sales 141

Sales Big Data Marketing Software 141

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

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. Get these wrong and chances are your enterprise processes and systems will suffer.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Perform data quality monitoring based on pre-configured rules.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

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.

Management 43

Management Metadata Analytics Machine Learning 43

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. The cloud is no longer synonymous with risk. What do you migrate, how, and when?

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Data Virtualization

SEPTEMBER 28, 2023

Reading Time: 2 minutes In the realm of logical architectures and data virtualization, one question consistently arises: Can these architectures deliver the performance required for complex analytics scenarios? Today, we’ll explore the answer to this pressing question and dive into the game-changing integration of.

Data Integration 64

Data Integration Management Analytics Data Lake 64

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.

Data Lake 86

Data Lake Big Data Consulting Data Warehouse 86

Andrew White

DECEMBER 4, 2019

In the case of Salesforce, after that vendor announced its acquisition of Tableau, an analytics vendor, I blogged about how Salesforce acquisitions still left some important gaps. This acquisition followed another with Mulesoft, a data integration vendor. Analytics offerings are valuable; data integration tools are too.

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

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. Brian Ross is a Senior Software Development Manager at AWS.

Data Quality 95

Data Quality Statistics Data Lake Visualization 95

Data Virtualization

DECEMBER 15, 2022

Reading Time: 3 minutes One of the biggest challenges for organizations is to integrate data from various sources. Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from.

Big Data 52

Big Data Data Integration Technology Management 52

Data Virtualization

MARCH 23, 2023

Reading Time: 3 minutes The financial services sector is accelerating its adoption of digital technology. 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.

Interactive 52

Interactive Data Integration Technology Management 52

AWS Big Data

FEBRUARY 8, 2023

Established from legacy brands with a 65-year history of pioneering breathing technology, the company’s portfolio of integrated solutions is designed to enable, enhance, and extend lives. Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway.

Testing 74

Testing Data Integration Data Lake Enterprise 74

Data Virtualization

MARCH 23, 2023

Reading Time: 3 minutes The financial services sector is accelerating its adoption of digital technology. 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.

Interactive 52

Interactive Data Integration Technology Management 52

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. He is passionate about distributed computing and everything and anything about the data.

Testing 78

Testing Data Lake Cost-Benefit Data Integration 78

CIO Business Intelligence

JUNE 7, 2022

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Data steward.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

Jet Global

MAY 1, 2020

In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. We can almost guarantee you different results from each, and you end up with no data integrity whatsoever. So, we feel validated.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Octopai

JUNE 1, 2020

Data mapping is the cornerstone of many important business intelligence processes: Data Integration – Even if systems are compatible, combining two disparate data repositories still requires meticulous data mapping. Correct data mapping facilitates the creation of usable, searchable data warehouses.

Metadata 52

Metadata Data Warehouse Data Integration Finance 52

AWS Big Data

FEBRUARY 9, 2023

To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications. One widely used approach is getting the CRM data into your data warehouse and keeping it up to date through frequent data synchronization.

Data Warehouse 77

Data Warehouse Data-driven Snapshot Testing 77

Andrew White

OCTOBER 22, 2021

Technology Vendor 2. Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8.

IT 52

IT Data Lake Strategy Data Science 52

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

Data Virtualization

SEPTEMBER 2, 2022

The post Laying a Modern Data Foundation to Fight Financial Crimes appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. These regulations have particularly increased in the aftermath of the 2008.

Data Integration 52

Data Integration Management Data Warehouse Data Science 52

FineReport

FEBRUARY 28, 2020

The central one is the data visualization technology at the display level. Despite the different order of magnitude and the need for an in-depth analysis, data visualization technology can fulfill the most basic BI goals-transforming data into information and assisting decision-making. FineReport can do it.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

erwin

DECEMBER 12, 2019

The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Quicker Project Delivery: Accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc.,

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Ontotext

FEBRUARY 26, 2024

They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses. But until they connect the dots across their data, they will stay in this stage. This is where graph technologies come in. We call this the “bad data tax.”

Technology 52

Technology Cost-Benefit Data-driven Metadata 52