Dataversity

DECEMBER 28, 2022

Security Operations (SecOps) refers to a joint effort between operations and IT security teams to maintain a company’s safety and minimize potential threats. An increasing gap typically opens between information security and IT operations teams as the former grows in significance within organizations.

Data Architecture 130

Data Architecture Data Security Cybersecurity 130

Dataversity

JUNE 9, 2023

Cloud repatriation refers to migrating workloads […] The post Myth-Busting Cloud Repatriation: The Misunderstood Trend in Cloud Computing appeared first on DATAVERSITY. The storage location depends on each organization’s specific cloud goals, needs, and requirements.

Cloud Computing 130

Cloud Computing Data Architecture 130

Dataversity

NOVEMBER 2, 2022

The two processes, typically referred to as a CI/CD pipeline, introduce ongoing automation and continuous monitoring throughout the lifecycle of apps, from the integration and testing phases to delivery and deployment. CI/CD is the practice of continuous integration and continuous delivery/deployment.

Monitoring 130

Monitoring Data Architecture 130

Dataversity

AUGUST 9, 2021

In larger companies, we often talk to folks in the business unit that most people traditionally refer to as Information Technology (IT). Every week, we find ourselves having a conversation about cost optimization with a wide variety of enterprises. The post How Cloud Has Affected the Centralization vs.

Information Technology 130

Information Technology Information Technology Data Architecture 130

Dataversity

APRIL 26, 2021

Most refer to this […]. Lately, we have been talking to quite a few providers of cloud managed services that play in both the private and public cloud spaces. These conversations have centered around how cloud management needs are evolving as enterprises’ hybrid and multi-cloud needs have accelerated.

Data Architecture 130

Data Architecture Data Security Data Governance Government 130

BizAcuity

APRIL 14, 2022

The comprehensive system which collectively includes generating data, storing the data, aggregating and analyzing the data, the tools, platforms and other softwares involved is referred to as Big Data Ecosystem. There are a wide range of problems that are presented to organizations when working with big data.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

BizAcuity

MAY 24, 2022

Companies develop data ecosystems on the cloud, the data architecture is now independent of on-premise systems. To quote Oracle, “The term cloud native refers to the concept of building and running applications to take advantage of the distributed computing offered by the cloud delivery model.

IBM Support 130

IBM Support IBM Maintenance IBM cost Digital Transformation 130

The Data Administration Newsletter

OCTOBER 18, 2022

“Technical debt” refers to the implied cost of future refactoring or rework to improve the quality of an asset to make it easy to understand, work with, maintain, and extend.

Data Governance 94

Data Governance Data Quality Data Architecture Data Management 94

Domo

JANUARY 22, 2016

In a recent blog post, we discussed how to draft a data-driven dream team. One of the project team members discussed was the Champion, a role that Domo and many of our clients refer to as a “MajorDomo.” A MajorDomo is a business and data-savvy leader who takes your company to that next level.

Data Architecture 52

Data Architecture Government Visualization Data Governance 52

Sisense

AUGUST 28, 2019

Simply put, the term cloud-agnostic refers to the ability to move applications or parts of applications from one cloud platform to another. What does it mean for your data? But what does cloud-agnostic have to do with your chosen BI platform?

Cloud Computing 73

Cloud Computing Data Architecture Data Modelling Documentation 73

Sisense

AUGUST 28, 2020

All these pitfalls are avoidable with the right data integrity policies in place. Means of ensuring data integrity. Data integrity can be divided into two areas: physical and logical. Physical data integrity refers to how data is stored and accessed. How are your devices physically secured?

Data Quality 101

Data Quality Data Security Data Architecture Agile 101

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

DECEMBER 22, 2022

Data Engineers : Build and manage a data warehouse strategy and execute them. Data Architects : Define a data architecture framework, including metadata, reference data, and master data. . Building a data warehouse can require lengthy development cycles that exhaust team resources and time.

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

Capiro

APRIL 12, 2019

This video introduces the basics of data modelling. Data modelling is fundamental to creating a business level data architecture. The business view is of course highly simplified; we are trying to explain data modelling, not the business of insurance. Introduction. Duration: 8 minutes. Summary of the video content.

Data Modelling 40

Data Modelling UML Data Architecture Business Analysis 40

The Data Administration Newsletter

OCTOBER 2, 2024

What’s even stranger is that I’ve been thinking about its impact on data leaders. For clarity’s sake, I’m not talking about geographic maps with data points, I’m referring to the process of […] With analytics, AI, cloud, etc., why would someone do that?

Data Architecture 52

Data Architecture Data Management Data Analytics Data Analytics 52

Domo

OCTOBER 22, 2021

In fact, Dan DeMers, CEO of enterprise data collaboration platform provider Cinchy, has gone so far as to call it “the first real evolution of data since the relational database appeared in the 1970s.” This makes data from a customer’s warehouse distributable to its own customers or partners in a controlled, governed manner.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

The Data Administration Newsletter

JULY 19, 2022

In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail the foundational layer of Organization Mission, Level 1.

Data Management 52

Data Management Data Governance Data Architecture Government 52

Dataversity

JUNE 15, 2021

Click to learn more about author Pratik Mistry. Security management inside the limits of the corporate organization can be perplexing: Security hazards are evaluated, and controls and countermeasures are concocted to lessen the dangers to a manageable level and cost.

Data Architecture 130

Data Architecture 130

Astera

JUNE 4, 2024

Relationships Between Data Elements Data dictionaries map out the connections between different fields within the database. Understanding these relationships is essential for data analysis and retrieval, as it portrays the internal data architecture and how various pieces of information interconnect within the database.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

NOVEMBER 30, 2023

Raw Vault: In contrast to the Business Vault, the Raw Vault serves as the primary storage for original source data. It preserves the integrity of the data, ensuring that the original, unaltered data is always available for reference or further processing. Business Vault: This component of Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Argon Digital

FEBRUARY 9, 2023

To give you a brief overview… Enterprise Resource Planning , often referred to as ERP, is a general term for software that is used to manage and integrate business planning and operations through automating business tasks. However, the typical small business does not need complex data architecture and a large team to maintain service.

Banking 52

Banking Finance Vision Data Architecture 52

The Data Administration Newsletter

JANUARY 5, 2021

Most data is not static. No, data has a life in which it changes, is used for perhaps multiple purposes, and gets moved all over the place. So, it makes sense to think about the lifecycle of your data at your organization. The accompanying diagram helps to demonstrate this lifecycle.

Data Architecture 91

Data Architecture Data Management 91

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

DECEMBER 21, 2022

Unified data is related closely to the technical concept of a Single Source of Truth (or SSoT). An SSoT is a single location where data has been aggregated from disparate systems and is understood to be an immutable reference point regarding this data.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Sisense

SEPTEMBER 3, 2019

OLTP databases are best at queries where we are doing point scans or short scans of the data, think “return the number of deposits by X user this week.”. Comparing OLAP and OLTP databases can be a conversation of its’ own, but here’s a quick summary of their differences for reference. Modeling Your Data for Performance.

Data Warehouse 78

Data Warehouse Data Architecture Planning Big Data 78

Astera

OCTOBER 27, 2023

It includes key elements and their interactions, ensuring efficient data processing, storage, integration, and retrieval. It includes key elements and their interactions, ensuring efficient data processing, storage, integration, and retrieval.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Leading Agile

NOVEMBER 13, 2024

He took a lot of best of breed thinking and rolled it into a methodology that folks could adopt, but in doing so, created a lot of complexity because it’s a really solid reference architecture full of a lot of really good ideas. They had easy access to customers, they were able to everybody get in the same room.

Agile 77

Agile Planning Data Architecture Government 77

Tableau

AUGUST 6, 2021

“By virtue of having your apps and data storage in the cloud, you’re helping to break down those silos that existed within organizations,” said Jennifer Belissent, principal data strategist at Snowflake, the provider of the Data Cloud , which is designed for storing, using, and delivering business value from data.

Cloud Computing 98

Cloud Computing Government Supply Chain Data Governance 98

Tableau

AUGUST 6, 2021

“By virtue of having your apps and data storage in the cloud, you’re helping to break down those silos that existed within organizations,” said Jennifer Belissent, principal data strategist at Snowflake, the provider of the Data Cloud , which is designed for storing, using, and delivering business value from data.

Cloud Computing 52

Cloud Computing Government Supply Chain Data Governance 52

Insight Software

MAY 1, 2023

that gathers data from many sources. Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

JULY 28, 2023

Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current data architecture. Talk to References Look for references that are similar (in terms of size, industry, use case, etc.) Plan how you will deliver and iterate these within your application.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52