Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Microsoft Azure.

Data Management 208

Data Management Data Warehouse Master Data Management Digital Transformation 208

Astera

JUNE 13, 2023

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Stream processing platforms handle the continuous flow of data, enabling real-time insights.

E-Commerce 52

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

Astera

MARCH 31, 2023

Team members heavily depend on these repositories for decision-making, reporting and visualizing data, and other business intelligence activities. With every department operating in an isolated silo, the data they base their decisions on is mostly inconsistent, inaccurate, and not up to date. Building a SSOT?

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Astera

OCTOBER 19, 2023

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

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

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. They form the bedrock for the rest of this process.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. “Data is what you need to do analytics. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

APRIL 7, 2023

Finally, the stored data is retrieved at optimal speeds to support efficient analysis and decision-making. Essentially, a data warehouse also acts as a centralized database for storing structured, analysis-ready data and giving a holistic view of this data to decision-makers.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

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

Business Analysis Knowledge Share

OCTOBER 24, 2023

Data Warehousing is the process of collecting, storing, and managing data from various sources into a central repository. This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Data Sources Data Warehouses collect data from diverse sources within an organization.

IBM Maintenance 73

IBM Maintenance Data Warehouse IBM cost Data Quality 73

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

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. Besides being relevant, your data must be complete, up-to-date, and accurate.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

JANUARY 15, 2024

Its core mission revolves around streamlining data integration and enhancing business intelligence. Push-down ELT technology: Matillion utilizes push-down ELT technology, which pushes transformations down to the data warehouse for efficient processing. Data quality checks and data profiling.

Real-time Data 52

Real-time Data Data Warehouse Data Quality Visualization 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Poor data quality.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

SEPTEMBER 1, 2023

The significance of data warehousing for insurance cannot be overstated. It forms the bedrock of modern insurance operations, facilitating data-driven insights and streamlined processes to better serve policyholders. The data warehouse has the highest adoption of data solutions, used by 54% of organizations.

Data Warehouse 40

Data Warehouse Data Modelling Data Security Data Quality 40

Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. 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 Warehouse Government 52

Astera

OCTOBER 31, 2023

At its core, it is a set of processes and tools that enables businesses to extract raw data from multiple source systems, transform it to fit their needs, and load it into a destination system for various data-driven initiatives. The target system is most commonly either a database, a data warehouse, or a data lake.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Documentation 52

Astera

JANUARY 31, 2024

Whether you need to manage unstructured data, create fully automated data pipelines, build a data warehouse , manage APIs , or enable frictionless B2B communication via EDI, everything is a matter of drag-and-drop and point-and-click. Azure SQL Database).

Data Warehouse 52

Data Warehouse Visualization Data Management Data Quality 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is ETL? What is Reverse ETL?

Data Warehouse 52

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

Astera

JANUARY 18, 2024

Get data extraction, transformation, integration, warehousing, and API and EDI management with a single platform. Talend is a data integration solution that focuses on data quality to deliver reliable data for business intelligence (BI) and analytics. Orchestration of data movement across systems.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

Astera

OCTOBER 10, 2023

Data mapping is the process of defining how data elements in one system or format correspond to those in another. Data mapping tools have emerged as a powerful solution to help organizations make sense of their data, facilitating data integration , improving data quality, and enhancing decision-making processes.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52

Astera

JULY 13, 2023

This process includes moving data from its original locations, transforming and cleaning it as needed, and storing it in a central repository. Data integration can be challenging because data can come from a variety of sources, such as different databases, spreadsheets, and data warehouses.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

ElegantJ BI

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Governance Government Data Quality 130

ElegantJ BI

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Governance Government Data Quality 130

ElegantJ BI

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Governance Government Data Quality 130

Insight Software

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52