Astera

FEBRUARY 28, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data governance and security measures are critical components of data strategy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Astera

DECEMBER 16, 2024

What is Hevo Data and its Key Features Hevo is a data pipeline platform that simplifies data movement and integration across multiple data sources and destinations and can automatically sync data from various sources, such as databases, cloud storage, SaaS applications, or data streaming services, into databases and data warehouses.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

The BAWorld

FEBRUARY 18, 2025

Develops integration of Power BI with cloud and on-premise data systems. Senior-Level Positions (8+ years experience) Power BI Architect: Develops end-to-end Power BI solutions with scalability and governance. Coordinates data governance policies, security models, and enterprise-wide Power BI adoption.

Data Modelling 40

Data Modelling Data Warehouse Data Security Government 40

Tableau

MAY 11, 2022

At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.) Collaborate and drive adoption .

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.) Collaborate and drive adoption .

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

FEBRUARY 14, 2022

The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. This modern, cloud-based data stack enables you to have all your data in one place while unlocking both backward-looking, historical analysis as well as forward-looking scenario planning and predictive analysis.

Chief Data Officer 98

Chief Data Officer Supply Chain Government Data Architecture 98

Tableau

FEBRUARY 14, 2022

The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. This modern, cloud-based data stack enables you to have all your data in one place while unlocking both backward-looking, historical analysis as well as forward-looking scenario planning and predictive analysis.

Chief Data Officer 95

Chief Data Officer Supply Chain Government Data Architecture 95

Astera

AUGUST 29, 2024

It enables easy data sharing and collaboration across teams, improving productivity and reducing operational costs. Identifying Issues Effective data integration manages risks associated with M&A. It includes: Identifying Data Sources involves determining the specific systems and databases that contain relevant data.

Data Governance 52

Data Governance Data Warehouse Data Quality Government 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 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. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Domo

JULY 8, 2021

For any organization integrating cloud into its core tech stack, it’s important to recognize the opportunities and risks that come with a new environment, and to plan appropriately. A third thing you should consider is how providers align with your data governance models.

Data Governance 52

Data Governance Government Embedded Analytics Business Intelligence 52

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.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

AUGUST 13, 2024

Improve Data Access and Usability Modernizing data infrastructure involves transitioning to systems that enable real-time data access and analysis. The transition includes adopting in-memory databases, data streaming platforms, and cloud-based data warehouses, which facilitate data ingestion , processing, and retrieval.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Actian

OCTOBER 7, 2019

If a credential must be updated, then it occurs within the data hub, and all the subscribing applications can continue using the connection. Data hubs also simplify the data governance requirements as the data is persisted at a central location. Third-party components are essential parts of your IT environment.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

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 Data Quality Government 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

Astera

MAY 25, 2023

We’ll provide advice on topics such as data governance, choosing between ETL and ELT, integrating with other systems, and more. Snowflake is a modern cloud-based data platform that offers near-limitless scalability, storage capacity, and analytics power in an easily managed architecture. So, let’s get started!

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Astera

JANUARY 18, 2024

Data Quality : It includes features for data quality management , ensuring that the integrated data is accurate and consistent. Data Governance : Talend’s platform offers features that can help users maintain data integrity and compliance with governance standards. EDIConnect for EDI management.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

Business Analysis Knowledge Share

OCTOBER 27, 2023

The Significance of Business Intelligence Business Intelligence is a multifaceted discipline that encompasses the tools, technologies, and processes for collecting, storing, and analyzing data to support informed decision-making. This may involve data from internal systems, external sources, or third-party data providers.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

NOVEMBER 28, 2023

For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback. They can then transform that data into a unified format, and load it into a data warehouse. Facilitating Real-Time Analytics: Modern data pipelines allow businesses to analyze data as it is generated.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Actian

OCTOBER 7, 2019

If a credential must be updated, then it occurs within the data hub, and all the subscribing applications can continue using the connection. Data hubs also simplify the data governance requirements as the data is persisted at a central location. Third-party components are essential parts of your IT environment.

Data Warehouse 40

Data Warehouse Government Data Governance Agile 40

Data Pine

SEPTEMBER 29, 2022

The quality of data is defined by different factors that will be detailed later in this article, such as accuracy, completeness, consistency, or timeliness. That quality is necessary to fulfill the needs of an organization in terms of operations, planning, and decision-making. Why Do You Need Data Quality Management?

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

AUGUST 16, 2024

Overcome Data Migration Challenges with Astera Astera's automated solution helps you tackle your use-case specific data migration challenges. View Demo to See How Astera Can Help Why Do Data Migration Projects Fail? McKinsey reports that inefficiencies in data migration cost enterprises 14% more than their planned spending.

Planning 52

Planning Digital Transformation Government Cloud Computing 52

Astera

MAY 13, 2024

It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Data Aggregation Types and Techniques There are various types of data aggregation.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

JANUARY 1, 2024

This eBook is your guide to ensuring data quality across your organization for accurate BI and analytics. Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

This eBook is your guide to ensuring data quality across your organization for accurate BI and analytics. Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

NOVEMBER 27, 2023

Here are some of the distinct advantages of data profiling: Informed Decision-Making: Data profiling provides a clear understanding of the available data, its quality, and its structure. This knowledge aids in making informed, data-driven decisions, thereby improving strategic planning and operational efficiency.

Data Mining 52

Data Mining Data Quality Business Intelligence Business Intelligence 52

Astera

NOVEMBER 16, 2022

The 2022 Global Hybrid Cloud Trends Report by Cisco shows that 82% of organizations have adopted the hybrid cloud, which isn’t surprising given the growing popularity of hybrid data architectures among modern IT professionals. Well, unlocking the true value of this data infrastructure requires effective strategy and implementation plan.

Data Quality 52

Data Quality Data Architecture Data Warehouse Data Governance 52

Astera

OCTOBER 10, 2023

Importance of Data Mapping in Data Integration Data mapping facilitates data integration and interoperability. These capabilities enable businesses to handle complex data mapping scenarios and ensure data accuracy and consistency. Implementing a data mapping tool requires careful planning and execution.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52