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. You can then augment recommendations with out-of-the-box data quality rules.

Data Quality 95

Data Quality Statistics Data Lake Visualization 95

Alation

JULY 28, 2022

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Andrew White

DECEMBER 4, 2019

This acquisition followed another with Mulesoft, a data integration vendor. I heard some interesting stuff: Historically firms had an inside-out view of their market, and this led to organizational silos, data silos etc. Analytics offerings are valuable; data integration tools are too.

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis. Features of BI systems.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

erwin

JANUARY 11, 2019

Consider the problematic issue of manually mapping source system fields (typically source files or database tables) to target system fields (such as different tables in target data warehouses or data marts). So how can businesses produce value from their data when errors are introduced through manual integration processes?

Data Governance 40

Data Governance Risk Metadata Management 40

Ontotext

MARCH 8, 2023

With the size of data and dropping attention spans of online users, digital personalization has become one of the top priorities for companies’ business models. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Domino Data Lab

APRIL 3, 2019

Look toward the evolving changes in system architecture to understand where data governance will be heading. Definition and Descriptions. We’ll start with standard definitions – the currently accepted wisdom in the industry. That definition plus the one-liner provide good starting points. In other words, #adulting.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. This is one of the biggest hurdles with the data vault approach. What is a dimensional data model?

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Quality 300

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

IBM Big Data Hub

APRIL 19, 2023

This work involved creating a single set of definitions and procedures for collecting and reporting financial data. The water company also needed to develop reporting for a data warehouse, financial data integration and operations.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface.

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

CIO Business Intelligence

MAY 24, 2022

Deloitte lists these as: Creating and shaping a common data foundation. Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years.

Data-driven 82

Data-driven Data Lake Data Warehouse Cost-Benefit 82

erwin

FEBRUARY 19, 2021

Connect physical metadata to specific data models, business terms, definitions and reusable design standards. Understand how data relates to the business and what attributes it has. Map data flows. Identify where to integrate data and track how it moves and transforms. Govern data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

AWS Big Data

JULY 13, 2023

To reflect the needs of their customers spread across different geographies and industries, Altron has organized their operating model across individual Operating Companies (OpCos). The AWS Glue crawler populates the table definition with its schema in AWS Glue Data Catalog.

Optimization 91

Optimization B2B Data Quality Sales 91

Sisense

JULY 22, 2020

As access to and use of data has now expanded to business team members and others, it’s more important than ever that everyone can appreciate what happens to data as it goes through the BI and analytics process. Your definitive guide to data and analytics processes. Data modeling: Create relationships between data.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Alation

JANUARY 13, 2022

Data mesh forgoes technology edicts and instead argues for “decentralized data ownership” and the need to treat “data as a product”. Gartner on Data Fabric. Moreover, data catalogs play a central role in both data fabric and data mesh. We’ll dig into this definition in a bit. Design concept.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. But what does integration look like in action?

Metadata 52

Metadata IT Metrics Data-driven 52

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 103

Data Lake Management Metrics Data Warehouse 103

Occam's Razor

OCTOBER 19, 2010

An expansive view of what it means to use data online, both from the type of data perspective and the kind of desired impact perspective. Given the definition above, I am a firm believer in Multiplicity. Compete is a great place to get quick data about US Visitors for any website. Second Bit Of Context. Multiplicity.

Analytics 135

Analytics Testing Measurement Optimization 135

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Digital Transformation Strategy: Smarter Data.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

APRIL 26, 2022

The Definitive Guide to Embedded Analytics. This series will demo model applications for BI spanning business type and industry to illustrate how advanced reporting can yield real business value.?. Insightsoftware’s mission is to make sure that the internal and external needs of its partners are being met. Access Resource.

Analytics 52

Analytics Dashboards Reporting Software 52

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. Pricing model: The pricing scale is dependent on several factors. It is now most definitely a need-to-have. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MARCH 23, 2023

The truth is that self-service has no fixed definition and will mean different things to every team and employee based on their exact needs. For them, self-service must cover tasks like data exploration, modeling, and deploying a sandbox environment for special use cases.

Dashboards 52

Dashboards Reporting Key Performance Indicator Interactive 52

Jet Global

SEPTEMBER 26, 2023

Those easy years with cheap funding and market tailwinds are definitely behind us. We finally got everybody on NetSuite and Salesforce, but there are still data systems that we are struggling with. Angles allow users to do more with less, automate processes, realize data integrity, and more.

Marketing 52

Marketing Finance Reporting Operational Reporting 52

Jet Global

OCTOBER 24, 2022

With an embedded analytics development environment, software teams can avoid getting bogged down in intensive data modeling efforts, instead streamlining data connectivity to a broad range of modern data sources and formats. The Definitive Guide to Embedded Analytics. Download Now. Logi Analytics.

Analytics 52

Analytics Dashboards Software Reporting 52