Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 246

Data Warehouse E-Commerce Real-time Data Data Architecture 246

Astera

JANUARY 29, 2024

As we approach Data Privacy Day on January 28th, it’s crucial to recognize the significance of enterprise data privacy in our increasingly digital world. Data privacy is a fundamental aspect that businesses, especially those dealing with vast amounts of data, must ensure to protect sensitive information.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

BizAcuity

APRIL 1, 2023

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. For this reason, Snowflake is often the cloud-native data warehouse of choice.

Data Warehouse 130

Data Warehouse E-Commerce Real-time Data Data Architecture 130

Actian

OCTOBER 29, 2019

When it comes to data management and data warehouse solutions, right now is the best time to move forward on modernization. Legacy data warehouse systems are aging. Modern data warehouse solutions are mainstream tech. Data warehousing and analytics aren’t just about the warehouse.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Finance 40

Actian

MAY 28, 2019

Data Warehouse-as-a-Service (DWaaS) is a modern solution to address the data management challenges of today’s companies. Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. Anatomy of Data Warehouse-as-a-Service.

Data Warehouse 40

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 40

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. The raw vault is insert-only, meaning that no data is ever deleted or updated. 

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

FEBRUARY 26, 2024

Azure SQL Data Warehouse, now called Azure Synapse Analytics, is a powerful analytics and BI platform that enables organizations to process and analyze large volumes of data in a centralized place. However, this data is often scattered across different systems, making it difficult to consolidate and utilize effectively.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Documentation 52

Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. So, in case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

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.

Big Data 351

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Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0,

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Actian

JULY 26, 2019

So, you have made the business case to modernize your data warehouse. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling. Good choice! Want all the details? Want all the details? Check out the full case study here.

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

Actian

JUNE 10, 2019

2019 is becoming an exciting year for the data management community. While trends are important building blocks about how companies approach their data management today, they are also providing insights into future capabilities to incorporate the individual pieces into a holistic, integrated solution. Data lake reboot.

Data Management 40

Data Management Data Warehouse Big Data Data Governance 40

Astera

JANUARY 19, 2024

Integration platforms play a pivotal role in the seamless functioning of modern businesses, enabling the interconnection of various applications, data sources, and systems. However, as the technological landscape continues to diversify in 2024, businesses are exploring MuleSoft alternatives that cater to their unique needs and requirements.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

Astera

DECEMBER 16, 2022

We successfully launched Astera Data Stack Version 10.0 as well as the newest addition to our platform: Astera Data Services. We have been recognized for implementing, maintaining, and operating an Information Security Management System that complies with the requirements of the standard ISO/IEC 27001:2013.

Data Warehouse 59

Data Warehouse Big Data Data Management Documentation 59

Astera

JANUARY 13, 2023

For decades, organizations have used Extract, transform and load (ETL) to integrate data stored across disparate source systems. However, the increasing data volume, variety, and velocity, presented by the big data age makes the traditional ETL approach inefficient in many cases. ELT vs. ETL: What’s the Difference?

Data Warehouse 52

Data Warehouse Data Management Big Data Business Intelligence 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Tableau

MAY 11, 2022

When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. If that's the case, you aren't alone.

Data Warehouse 94

Data Warehouse Government Artificial Intelligence Data Discovery 94

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. For that we need to understand what is a modern data stack? What is a Modern Data Stack?

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

Tableau

MAY 11, 2022

When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. If that's the case, you aren't alone.

Data Warehouse 92

Data Warehouse Government Artificial Intelligence Data Discovery 92

Astera

APRIL 23, 2024

No matter their size, all organizations rely heavily on the data they collect and manage. This data ranges from customer information to sales records, employee performance, and more. To do so, they need data quality metrics relevant to their specific needs. What is Data Quality? What are Data Quality Metrics?

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Innovation 91

Innovation Data Warehouse Data Architecture Visualization 91

The Data Administration Newsletter

MAY 16, 2023

Data quality management (DQM) has advanced considerably over the years. The full extent of the problem was first recognized during the data warehouse movement in the 1980s.

Data Quality 52

Data Quality Data Warehouse Master Data Management Data Governance 52

Astera

JANUARY 24, 2024

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. Below is the step-by-step explanation on how change data capture typically works.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Actian

SEPTEMBER 12, 2019

AI algorithms are also migrating from centralized data centers (both on-premise and in the cloud) to distributed devices on the edge of networks. The need for persistent data. Data persistence enables workflow continuity and tracking across multiple systems. You can learn more about Actian’s Cloud Data Warehouse here.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

Astera

JUNE 6, 2023

In the evolving technology age of today, the utilization of the best data pipeline tools is paramount. These tools play a crucial role in efficiently extracting, transforming, and loading data from various sources into a centralized repository. What Is a Data Pipeline?

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

MAY 9, 2023

Effective data processing is a critical aspect for companies to gain access to valuable insights and maintain a competitive edge. Therefore, understanding the importance of processing data as per best practices can help unlock new opportunities for growth and success. What is Data Processing?

Data Warehouse 52

Data Warehouse Big Data Innovation Artificial Intelligence 52

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Innovation 52

Innovation Data Warehouse Data Architecture Visualization 52

Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. What is a data fabric?

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Trends AI is already shaping the processes surrounding data warehousing in many ways.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

DECEMBER 29, 2023

We live in an era where organizations spend a fortune for access to the most comprehensive and most up-to-date data set to outdo their competitors. Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. Free Download What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

We live in an era where organizations spend a fortune for access to the most comprehensive and most up-to-date data set to outdo their competitors. Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. Free Download What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

Actian

JANUARY 15, 2020

Once you have your people and processes in order, it’s time to shift focus towards your data. That’s where your data warehouse and some well-designed real-time dashboards come in. Most IT professionals start with the technology and data because that’s what they are most comfortable with.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Data Management 40

Astera

MARCH 31, 2023

In today’s data-driven world, businesses rapidly generate massive amounts of data. Managing this data effectively and timely is critical for decision-making, but how can they make sense of all this data most efficiently? The answer lies in the concept of a single source of truth (SSOT). Building a SSOT?

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52