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

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. In this blog, we will discuss everything about a modern data warehouse including why you should invest in one and how you can migrate your traditional infrastructure to a modern data warehouse.

Data Warehouse 52

Data Warehouse Real-time Data Planning Agile 52

ElegantJ BI

AUGUST 10, 2016

In order to protect the enterprise, and its interests, the IT team must: Ensure compliance with government and industry regulation and internal data governance policies Assure data security for proprietary information, personal user data, customer data, etc.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

In order to protect the enterprise, and its interests, the IT team must: Ensure compliance with government and industry regulation and internal data governance policies Assure data security for proprietary information, personal user data, customer data, etc.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

In order to protect the enterprise, and its interests, the IT team must: Ensure compliance with government and industry regulation and internal data governance policies. Assure data security for proprietary information, personal user data, customer data, etc. Identify problems, opportunities, and risks.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

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

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

Analysts Corner

OCTOBER 26, 2023

This data must be cleaned, transformed, and integrated to create a consistent and accurate view of the organization’s data. Data Storage: Once the data has been collected and integrated, it must be stored in a centralized repository, such as a data warehouse or a data lake.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

The BAWorld

FEBRUARY 18, 2025

Senior Power BI Data Engineer (4-8 years) Advanced SQL scripting for data processing. Managing data security and compliance. Power BI Architect (8+ years) End-to-end Power BI architecture planning. Implementing enterprise-wide security models and governance policies. Performance tuning for large datasets.

Data Modelling 40

Data Modelling Data Warehouse Data Security Government 40

Tableau

MAY 11, 2022

If you are tasked with enforcing data management, you can have access to metrics on what data is being used, by whom, and at what frequency to make data source cleanup easier. . Connect and manage disparate data securely. The average enterprise has data in over 800 applications, and just 29% of them are connected.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

If you are tasked with enforcing data management, you can have access to metrics on what data is being used, by whom, and at what frequency to make data source cleanup easier. . Connect and manage disparate data securely. The average enterprise has data in over 800 applications, and just 29% of them are connected.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Sisense

JUNE 26, 2019

This goes way back to the 1990s when the big companies realized that they had way too many places where their data was sitting, so they started to introduce enterprise resource planning or ERP systems that centralized all their data sources. Enterprise companies usually have legacy systems that contain important data.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

Insight Software

JULY 29, 2020

While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse. Disadvantages of OBIEE. Assess Current Discoverer Report Use.

Data Warehouse 98

Data Warehouse Supply Chain Finance Visualization 98

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

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

Actian

OCTOBER 7, 2019

Data hubs also simplify the data governance requirements as the data is persisted at a central location. Data can be transformed and distributed to other endpoints easily, such as cloud data warehouses and analytics BI engines. Data hubs excel at the third-party integration challenge.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

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

Domo

MAY 13, 2021

Step 1 – Putting context around data. Every business, regardless of size, has a wealth of data—much of it dark and sitting in disparate silos or repositories like spreadsheets, data warehouses, non-relational databases, and more. The first step in the data integration roadmap is understanding what you have.

Data Discovery 64

Data Discovery Master Data Management Data Warehouse Data Security 64

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 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

Astera

DECEMBER 16, 2022

Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data. A significant aspect of a well-planned data management strategy involves knowing your organization’s data sources and where the business data resides.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

OCTOBER 16, 2023

It is a complex process that requires careful planning and execution to minimize risks and ensure a successful transition. The primary goal of data migration is to ensure that data remains accessible, accurate, and secure throughout the process. The process commences with a critical phase of assessment and planning.

Data Warehouse 40

Data Warehouse Data Quality Data Security Visualization 40

Astera

JANUARY 17, 2024

Data Migration: Data migration is the process of moving data from one system, location, or format to another. This may be driven by factors such as system upgrades, cloud adoption, or the need to consolidate data from different sources. This phase ensures data consistency, quality, and compatibility.

Real-time Data 52

Real-time Data Data Warehouse Data Management Data Security 52

Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs.

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Sisense

APRIL 22, 2021

The full webinar is available on-demand and contains even more tips, implementation guidance, and future plans for AI from these companies. A poll during the event showed that 19% of facility management attendees were thinking about analytics, 38% were just getting started or in planning phases, and 19% had implemented analytics already.

Data Warehouse 52

Data Warehouse Real-time Data Planning Data Security 52

Astera

JANUARY 24, 2024

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data. It provides multiple security measures for data protection.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

SEPTEMBER 4, 2023

These tools make this process far easier and manageable even for those with limited technical expertise, as most tools are now code-free and come with a user-friendly interface. Help Implement Disaster Recovery Plans: Data loss due to unexpected events like natural disasters or human error can be catastrophic for a business.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Actian

OCTOBER 7, 2019

Data hubs also simplify the data governance requirements as the data is persisted at a central location. Data can be transformed and distributed to other endpoints easily, such as cloud data warehouses and analytics BI engines. Data hubs excel at the third-party integration challenge.

Data Warehouse 40

Data Warehouse Government Data Governance Agile 40

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.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 52

Astera

JUNE 3, 2024

Relational databases are excellent for applications that require strong data integrity , complex queries, and transactions, such as financial systems, customer relationship management systems (CRM), and enterprise resource planning (ERP) systems. These are some of the most common databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

SEPTEMBER 20, 2024

his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses. Ensure the provider has robust security protocols and certifications.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

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