Domo

MAY 24, 2021

To ensure harmony, here are some key points to consider as you are weighing cloud data integration for analytics: Act before governance issues compound. There are limits to data lake and data warehouse configurations, especially when these limitations scale due to company size and complexity within the organization.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Business Analysis Knowledge Share

MARCH 15, 2023

In recent years, there has been a growing interest in NoSQL databases, which are designed to handle large volumes of unstructured or semi-structured data. 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.

Big Data 52

Big Data Data Analytics Data Analytics 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 102

Innovation Data Warehouse Data Architecture Visualization 102

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

JUNE 18, 2023

ETL Developer: Defining the Role An ETL developer is a professional responsible for designing, implementing, and managing ETL processes that extract, transform, and load data from various sources into a target data store, such as a data warehouse. Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Sisense

JUNE 8, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. Datasets are on the rise and most of that data is on the cloud.

Data Warehouse 89

Data Warehouse Government Digital Transformation Big Data 89

Inflexion Analytics

JULY 23, 2021

The next agricultural revolution is upon us, and farms with big data initiatives are set to see big benefits. Large economic potential is linked to big data. This supports a claim for the government payments that are made to reward farmers for their stewardship of the countryside. Small farm, meet big data.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 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? Should you stay with your existing traditional data warehouse provider as they try to convince you to stay on-premise with their latest appliance?

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

Sisense

APRIL 7, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. We live in an era of Big Data. The sheer amount of data being generated is greater than ever (we hit 18 zettabytes in 2018) and will continue to grow.

Big Data 86

Big Data Data Warehouse Product Management Product Management 86

Astera

SEPTEMBER 25, 2024

With Astera, users can: Extract data from PDFs using our LLM-powered solution. Cleanse and validate Integrate data from CRMs, databases, EDI files, and APIs. Load data to various cloud data warehouses and lakes. Govern their data assets. AI-powered data mapping. Pre-built transformations.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Cprime

MAY 4, 2023

Key Data Integration Use Cases Let’s focus on the four primary use cases that require various data integration techniques: Data ingestion Data replication Data warehouse automation Big data integration Data Ingestion The data ingestion process involves moving data from a variety of sources to a storage location such as a data warehouse or data lake.

Data Warehouse 52

Data Warehouse Big Data Data Quality Finance 52

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 What’s New in Data Vault 2.0? Data Vault 2.0 Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 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

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

Data Pine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Actian

JUNE 10, 2019

This includes both ready-to-use SaaS solutions as well as cloud-based infrastructure (IaaS and Paas) for various needs, such as data warehouses and in-house developed applications. Data warehouse migration to the cloud. During the past few years, Hadoop has been the big trend in data warehousing.

Data Management 40

Data Management Data Warehouse Big Data Data Governance 40

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

JANUARY 18, 2024

Talend is a data integration solution that focuses on data quality to deliver reliable data for business intelligence (BI) and analytics. Data Integration : Like other vendors, Talend offers data integration via multiple methods, including ETL , ELT , and CDC. Orchestration of data movement across systems.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? 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

GAVS Technology

JUNE 2, 2021

While focus on API management helps with data sharing, this functionality has to be enhanced further as data sharing also needs to take care of privacy and other data governance needs. Data Lakes. Data Fabric Players.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Data Pine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. In that case, you can face an even bigger blowup: making costly decisions based on inaccurate data.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Domo

MAY 17, 2021

Amazon Web Services (AWS) act as the backbone of today’s digital infrastructure by providing on-demand cloud computing platforms and APIs to businesses and governments worldwide. For the best results, make sure you understand how you store data in S3 along with its relation to other S3 databases. Domo AWS connectors for Amazon Athena.

Data Warehouse 52

Data Warehouse Cloud Computing Monitoring Logistics 52

Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Understanding Your Users.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Data Pine

JULY 1, 2020

Typically, ad hoc data analysis involves discovering, presenting, and actioning information for a smaller, more niche audience and is slightly more visual than a standard static report. Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore. The Benefits Of Ad Hoc Reporting And Analysis.

Retail 104

Retail Healthcare Visualization Business Intelligence 104

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

Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Today, big data is about business disruption.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

JUNE 6, 2023

ETL architectures have become a crucial solution for managing and processing large volumes of data efficiently, addressing the challenges faced by organizations in the era of big data. ETL architectures ensure data integrity and enable organizations to derive valuable insights for decision-making.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Actian

AUGUST 27, 2019

Organizations should be able to access the highest levels of query and ad-hoc analytics performance across the entirety of their data, and they should be able to do this while easily enforcing any required data privacy and governance policies. . Data complexity creates a barrier to entry here, though.

Real-time Data 40

Real-time Data Logistics Big Data Data Warehouse 40

Actian

AUGUST 27, 2019

Organizations should be able to access the highest levels of query and ad-hoc analytics performance across the entirety of their data, and they should be able to do this while easily enforcing any required data privacy and governance policies. . Data complexity creates a barrier to entry here, though.

Real-time Data 40

Real-time Data Logistics Big Data Data Warehouse 40

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Data Warehouse 173

Data Warehouse Data Visualization Data Security Data Governance 173

Astera

NOVEMBER 16, 2022

Evaluate the location of your data. Know where your critical data resides, its dependencies, and whether it contains any personally identifiable information (PII). Enforce data governance rules to ensure the discoverability, accessibility, and security of data in enterprise systems. Data Quality.

Data Quality 52

Data Quality Data Architecture Data Warehouse Data Governance 52

Actian

FEBRUARY 24, 2020

RPA vendors also have a data challenge. It’s both a big data challenge and a distributed data challenge. Actian DataConnect is a hybrid integration platform ideally suited to this challenge – integrate anything, anywhere, anytime and enabling centralized governance, management, and control.

Digital Transformation 40

Digital Transformation Artificial Intelligence Data Warehouse Big Data 40

Astera

JUNE 3, 2024

These databases are ideal for big data applications, real-time web applications, and distributed systems. Hierarchical databases The hierarchical database model organizes data in a tree-like structure with parent-child relationships. Some common use cases include social network management and content management.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

OCTOBER 10, 2023

These capabilities enable businesses to handle complex data mapping scenarios and ensure data accuracy and consistency. Data Governance: Data mapping tools provide features for data governance, including version control and data quality monitoring. Compatible with Big data sources.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52