Data Pine

MARCH 31, 2022

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In

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The BAWorld

SEPTEMBER 27, 2024

And therefore, to figure all this out, data analysts typically use a process known as data modeling. It forms the crucial foundation for turning raw data into actionable insights. Data modeling designs optimal data structures and relationships for storage, access, integrity, and analytics.

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Tableau

SEPTEMBER 12, 2024

Spencer Czapiewski September 12, 2024 - 8:38pm Karen Madera Senior Manager, Product Marketing, Tableau We’re in the midst of an autonomous revolution that’s reshaping the way businesses use data to gain a competitive edge, delight customers, and engage employees. Excited to get your hands on Tableau Einstein?

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The Data Administration Newsletter

JULY 21, 2021

There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

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Domo

AUGUST 4, 2023

SILICON SLOPES, Utah – Today Domo (Nasdaq: DOMO) announced it was named to the Q2 2023 Constellation ShortList for Multicloud Analytics and Business Intelligence Platforms (BI) for the eighth consecutive year. About Domo Domo puts data to work for everyone so they can multiply their impact on the business.

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Astera

JANUARY 23, 2023

Billion by 2026 , showing the crucial role of health data management in the industry. Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives.

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Astera

APRIL 7, 2023

However, managing reams of data—coming from disparate sources such as electronic and medical health records (EHRs/MHRs), CRMs, insurance claims, and health-tracking apps—and deriving meaningful insights is an overwhelming task. Improving Data Quality and Consistency Quality is essential in the realm of data management.

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Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

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ElegantJ BI

SEPTEMBER 1, 2021

With a targeted self-serve data preparation tool, the midsized business can allow its business users to take on these tasks without the need for SQL skills, ETL or other programming language or data scientist skills.

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ElegantJ BI

SEPTEMBER 1, 2021

With a targeted self-serve data preparation tool, the midsized business can allow its business users to take on these tasks without the need for SQL skills, ETL or other programming language or data scientist skills.

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Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm. February 18, 2021.

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Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

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Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

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Astera

DECEMBER 29, 2023

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

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Sisense

JUNE 19, 2019

As exciting as this seems, it’s actually just what a good business intelligence platform should be able to do for you. Business moves fast nowadays, and there isn’t enough time for months of preparation, data modeling, IT platform planning, management decisions, and implementation. days left). days left).

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Sisense

SEPTEMBER 3, 2020

People with this data job title work with information security software to prevent data breaches and assist business operations by organizing volumes of data. Database specialists may be charged with looking after other data repositories used by the organization, such as data stores, marts, warehouses, and lakes.

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Astera

NOVEMBER 28, 2022

In today’s digitized era, organizations must adapt to the evolving data infrastructure needs to keep up with the technological-driven innovations. Does that mean it’s the end of data warehousing? Data warehouses will play a crucial role in data management — perhaps more than ever. Far from it!

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The Data Administration Newsletter

DECEMBER 20, 2022

Over the past few months, my team in Castlebridge and I have been working with clients delivering training to business and IT teams on data management skills like data governance, data quality management, data modelling, and metadata management.

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Astera

JUNE 12, 2024

Data lineage typically includes metadata such as data sources, transformations, calculations, and dependencies, enabling organizations to trace the flow of data and ensure its quality, accuracy, and compliance with regulatory requirements. Enhance data trustworthiness, transparency, and reproducibility.

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Astera

JULY 3, 2024

Data architecture is important because designing a structured framework helps avoid data silos and inefficiencies, enabling smooth data flow across various systems and departments. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

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Astera

SEPTEMBER 25, 2024

Add to that data velocity , variety , and veracity (the four Vs), and it becomes clear that conventional ETL needs to evolve to keep up with the data explosion. That’s where automated ETL comes in to modernize data management. Have a chat with us to see if your data is ready for automation.

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Astera

NOVEMBER 1, 2023

Data warehouses have risen to prominence as fundamental tools that empower financial institutions to capitalize on the vast volumes of data for streamlined reporting and business intelligence. Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process.

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Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. It is composed of user-friendly structures like star schemas that represent or data marts.

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Astera

OCTOBER 7, 2022

Across industries, organizations generate a massive volume of data. Investing in analytics and business intelligence (BI) tools empowers business leaders to make more informed decisions. It’s fair, given the unstructured data may hold valuable insights to augment a business’s market competitiveness.

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The Data Administration Newsletter

APRIL 20, 2021

Steve Hoberman has been a long-time contributor to The Data Administration Newsletter (TDAN.com), including his The Book Look column since 2016, and his The Data Modeling Addict column years before that.

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Astera

APRIL 27, 2023

The modern data stack has revolutionized the way organizations approach data management, enabling them to harness the power of data for informed decision-making and strategic planning. These business analytics platforms allow users to make interactive dashboards and visual reports to draw insights from their data.

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Astera

DECEMBER 21, 2022

In comparison to cloud data warehouses, on-premise data warehouses pose certain challenges that affect the efficiency of the organizations’ analytics and business intelligence operations. Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

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Marutitech

JANUARY 21, 2022

The primary responsibility of a data science manager is to ensure that the team demonstrates the impact of their actions and that the entire team is working towards the same goals defined by the requirements of the stakeholders. 2. Manage people. Interpreting data. Data science is the sexiest job of the 21st century.

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The BAWorld

MARCH 15, 2024

You can employ the concepts of probability and statistics to: Detect patterns in data. DATA MANAGEMENT Data management is about collecting, organizing and storing data in an efficient manner with security considerations and within budget limits. Avoid bias, fallacy and logical error while analyzing it.

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Astera

SEPTEMBER 1, 2023

In addition, data warehousing helps improve other data management aspects, including: Data Security: Centralizing data in a data warehouse enables the implementation of robust security measures, ensuring that sensitive information is appropriately protected.

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Astera

SEPTEMBER 20, 2024

A cloud database operates within the expansive infrastructure of providers like AWS, Microsoft Azure, or Google Cloud, utilizing their global network of data centers equipped with high-performance servers and storage systems. They are based on a table-based schema, which organizes data into rows and columns.

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The Data Administration Newsletter

JANUARY 17, 2024

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

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Actian

JUNE 17, 2019

For companies that want to develop a sustainable competitive advantage, they must start aggregating, organizing and refining their massive data stores into the real business intelligence that leads to better decisions and more efficient operations. “We We are struggling to convert data into actionable insights.”.

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Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. So, let’s dive into what databases are, their types, and see how they improve business performance.

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Astera

MAY 30, 2024

Variability: The inconsistency of data over time, which can affect the accuracy of data models and analyses. This includes changes in data meaning, data usage patterns, and context. Visualization: The ability to represent data visually, making it easier to understand, interpret, and derive insights.

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The Data Administration Newsletter

MAY 15, 2024

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives.

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Cprime

DECEMBER 21, 2022

Unreadable or inaccessible data means that your employees cannot see a broader picture of your business and cannot get insight out of the data your company has already collected. Improving connectivity and visibility to adapt to changes and innovations in the business world. Data consolidation. No, not quite.

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