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

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.)

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.)

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Actian

OCTOBER 28, 2019

Sustainable competitive advantage in this environment is built on three things – information, innovation, and agility. IPaaS provides the tools and capabilities to manage all your company’s data connections in one place – giving you access to data from across the company. Data flow orchestration. Ease of use.

Innovation 8

Innovation Data Warehouse Agile Digital Transformation 8

Business Analysis Knowledge Share

MARCH 15, 2023

These databases are often used in big data applications, where traditional relational databases may not be able to handle the scale and complexity of the data. As data continues to play an increasingly important role in business decision-making, the importance of effective database management will only continue to grow.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

AUGUST 29, 2024

In fact, a recent study by McKinsey & Company revealed that 80% of companies undertake M&A to drive growth and innovation. Data Integration in M&A is a complex process involving merging different business functions, as it consists of aligning diverse cultures, systems, and processes across two organizations.

Data Governance 52

Data Governance Data Warehouse Data Quality Government 52

Sisense

OCTOBER 14, 2020

Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. This combination has given the team advanced data handling and analytics capabilities.

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Domo

JULY 1, 2021

This ensures that while there will be innovation through constant change, the provider can’t weaken the security program that you have previously reviewed and approved. Look for providers who have a track record of delivering new product innovations while ensuring that security is never compromised.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Astera

JULY 3, 2024

It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies. Moreover, a well-designed data architecture enhances data security and compliance by defining clear protocols for data governance.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

NOVEMBER 30, 2023

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 In 2013, Dan Linstedt and Michael Olschimke introduced Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 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

Astera

SEPTEMBER 4, 2024

This helps your teams retrieve, understand, manage, and utilize their data assets and stack (spread across domains as data microservices), empowering them to steer data-driven initiatives and innovation. In other words, data mesh lets your teams treat data as a product.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

AUGUST 13, 2024

Modernizing data infrastructure allows organizations to position themselves to secure their data, operate more efficiently, and innovate in a competitive marketplace. Improve Data Access and Usability Modernizing data infrastructure involves transitioning to systems that enable real-time data access and analysis.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 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 Quality 52

Domo

SEPTEMBER 27, 2021

As someone whose role at Domo is to provide data governance advice to the company’s largest customers, I have lots of conversations with IT leaders about data lakes. At its core, a data lake is a centralized repository that stores all of an organization’s data. Overcoming data lake disadvantages.

Data Architecture 52

Data Architecture Finance Government Visualization 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

AUGUST 12, 2024

Improving data quality can help reduce these losses and increase productivity and innovation. Enhancing data governance and customer insights. According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Astera

AUGUST 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

JUNE 13, 2023

Data Migration Data pipelines facilitate smooth and efficient data migration from legacy systems to modern infrastructure. By ensuring a seamless transition without disruption, organizations can leverage advanced technologies and drive innovation. Data governance practices ensure compliance, security, and data privacy.

E-Commerce 52

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

Astera

AUGUST 15, 2024

Centralization also makes it easier for a company to implement its data governance framework uniformly. Data Orchestration vs. ETL Scope Extract, transform, load (ETL) primarily aims to extract data from a specified source, transform it into the necessary format, and then load it into a system.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

FEBRUARY 9, 2024

Improving data quality can help reduce these losses and increase productivity and innovation. Enhancing data governance and customer insights. According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Data Pine

SEPTEMBER 29, 2022

Why Do You Need Data Quality Management? While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. Industry-wide, the positive ROI on quality data is well understood.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Sisense

NOVEMBER 5, 2021

This learning process also helps drive Radial’s Data governance strategy, helping us understand data retention needs by business area, availability of data (live vs archive), data separation and security, and more. Building great analytics is only the beginning. . >>>Infusing Learn more.

Embedded Analytics 52

Embedded Analytics Data Warehouse Innovation Data Governance 52

Insight Software

JANUARY 2, 2025

Vendor Lock-In Kills Innovation Todays leading LLMs might not reign tomorrow. Businesses locked into a single AI ecosystem face limited flexibility and are slow to adopt innovations. From cloud-based platforms to on-premises databases, Simbas connectors make the data accessible, reliable, and ready for analysis.

IBM Support 52

IBM Support Embedded Analytics IBM Maintenance Government 52

Insight Software

MARCH 23, 2023

Whatever their needs are, provide your end-users with tailored self-service capabilities for a more productive, engaging, and satisfying data experience. Some organizations tightly control access to their data, which can frustrate users who want to run their own queries to combine data sets or create dashboards from a single set of data.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52