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

Sisense

AUGUST 4, 2021

Infusing intelligence everywhere is where Sisense shines, which is why in Q2 we’ve invested in bringing you Infusion Apps that leverage our brand new Extense Framework along with other features that allow you to explore new dimensions of your data. Analytics adoption has stalled; only infused analytics can help. Learn more.

Data Warehouse 52

Data Warehouse User Experience Government Innovation 52

Astera

NOVEMBER 27, 2023

It’s a method used to diagnose the data’s health by thoroughly examining its structure, content, and relationships. It ensures that the data is accurate, consistent, and unique before it’s used for ETL and data analytics. It can also highlight patterns, rules, and trends within the data.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

BizAcuity

APRIL 14, 2022

According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance. Such is the significance of big data in today’s world. Competitive Advantages to using Big Data Analytics.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Smart Data Collective

JULY 22, 2019

Microsoft Power BI transforms data into visuals, lets you explore and analyze any data easily, as well as share it with your colleagues. Built-in governance and security allow users to scale the service across practically any organizations. It can analyze practically any size of data. per month per one user.

Business Intelligence 201

Business Intelligence Business Intelligence Real-time Data Visualization 201

Data Pine

JANUARY 24, 2021

This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions. The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms. Also, see data visualization.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

OCTOBER 19, 2023

Alteryx Alteryx data preparation tool offers a visual interface with hundreds of no/low-code features to perform various data preparation tasks. The tool allows users to easily connect to various sources, including data warehouses, cloud applications, and spreadsheets.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 262

Big Data Government Data Governance Data Warehouse 262

Business Analysis Knowledge Share

MARCH 15, 2023

Understanding the key concepts of data warehousing, such as data integration, dimensional modeling, OLAP, and data marts, is vital for business analysts who are responsible for analyzing data and providing insights that drive business performance. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

MAY 14, 2024

Metadata management Before proceeding, it’s essential to clarify that while both master data management (MDM) and metadata management are crucial components of data management and governance, they are two unique concepts and, therefore, not interchangeable. Data is only valuable if it is reliable.

Government 52

Government Data Governance Master Data Management Documentation 52

Actian

FEBRUARY 24, 2020

The first challenge in managing data in RPA solutions is connecting the various parts of the IT ecosystem together so they can be managed in a consistent and centralized way to ensure the free-flow of data, security, and manageability.

Digital Transformation 40

Digital Transformation Artificial Intelligence Data Warehouse Big Data 40

Astera

MARCH 11, 2024

It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. What are Snowflake ETL Tools? Snowflake ETL tools are not a specific category of ETL tools.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Actian

AUGUST 7, 2019

Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. Data warehouses in the cloud.

Data Warehouse 40

Data Warehouse Data Mining Government Data Analytics 40

Astera

APRIL 24, 2024

There are different types of data ingestion tools, each catering to the specific aspect of data handling. Standalone Data Ingestion Tools : These focus on efficiently capturing and delivering data to target systems like data lakes and data warehouses.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Inflexion Analytics

JULY 23, 2021

Both crop revenues and input costs are susceptible to the pricing gyrations that are inevitable in commodity markets—sometimes exacerbated by government interventions. But falling costs means that data and analytics tools will soon be accessible to the many. The data warehouse is the farm’s ‘single source of truth.’.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Actian

NOVEMBER 26, 2019

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Conceptually, it is easy to understand why you would want to move to a cloud data warehouse.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Data Security 8

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

Domo

MAY 24, 2021

To understand how to get there, let’s first look at why it’s been so complicated to leverage all your data. Your company likely has data integrations and pipelines in place to support using data analytics to answer business questions, discover relationships and correlations, and predict outcomes across key areas of your business.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Tableau

APRIL 18, 2022

Data, security, and resource governance: Nurture data across its lifecycle with policies that remain consistent with every use. Ensure the behaves the way you want it to— especially sensitive data and access. Data integration. The analytics-first approach. Slow implementation of governance standards.

Data Quality 99

Data Quality Government Artificial Intelligence Data Warehouse 99

Tableau

APRIL 18, 2022

Data, security, and resource governance: Nurture data across its lifecycle with policies that remain consistent with every use. Ensure the behaves the way you want it to— especially sensitive data and access. Data integration. The analytics-first approach. Slow implementation of governance standards.

Data Quality 97

Data Quality Government Artificial Intelligence Data Warehouse 97

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 Finance Data Quality 52

Actian

OCTOBER 28, 2019

IPaaS solutions provide five key capabilities that your IT organization needs to support business agility: Centralized management of data connections and credentials. Data flow orchestration. Data governance and access control. Ease of use. Rapid time to value. To learn more, visit www.actian.com/dataconnect.

Innovation 8

Innovation Data Warehouse Digital Transformation Agile 8

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

APRIL 7, 2023

An EDA includes these components: Data Governance – comprises of a set of policies, procedures, and guidelines for managing data across enterprise. Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

An EDA includes these components: Data Governance – comprises of a set of policies, procedures, and guidelines for managing data across enterprise. Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Actian

AUGUST 7, 2019

Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. Data warehouses in the cloud.

Data Warehouse 8

Data Warehouse Data Mining Government Data Analytics 8

Astera

DECEMBER 22, 2022

Of course, traditional, on-premises storage solutions cannot handle petabyte-scale data. Migrating data to the cloud is part of a flexible and scalable approach to data storage. A robust data integration tool simplifies connecting to cloud storage. How Automated Data Extraction Fits Here. Enter cloud-based storage.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Astera

DECEMBER 21, 2022

What is unified data? Unification of data is when fragmented data sources are merged into a single repository, known as a “data warehouse.” Auditing for data protection compliance can be extremely difficult when data is processed, stored, and managed across a variety of locations and platforms.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Data That Is Available Is Not Fresh or Current: Only 26% of end-users are fully maximizing the potential actionable insights from their data.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Data That Is Available Is Not Fresh or Current: Only 26% of end-users are fully maximizing the potential actionable insights from their data.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Data Pine

FEBRUARY 22, 2022

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. This should also include creating a plan for data storage services. CFOs and CMOs are good fits.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Actian

SEPTEMBER 30, 2019

In the prior three blogs from this series, we looked at i) maximizing the value of available data , ii) leveraging the right data for the right decision-making , and iii) identified key challenges to the adoption of cloud data warehouse solutions. Data governance and compliance needs.

Data Warehouse 40

Data Warehouse Data Architecture Data Analytics Data Analytics 40

ElegantJ BI

MAY 19, 2020

With Gartner and other technology research firms publishing reports and analysis about these trends, it is hard to believe that anyone working in technology (or in data science or analysis) would be in the dark (or skeptical), but apparently there are still a few people out there who need convincing! So, let’s go over this again.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Governance 130

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. By providing a full suite of features with sophisticated functionality, and a true self-serve environment, the organization can encourage and support data democratization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130