Astera

JANUARY 19, 2024

Mulesoft and Its Key Features MuleSoft provides a unified integration platform for connecting applications, data, and devices on-premises and in the cloud. Built on Java, its Anypoint Platform acts as a comprehensive solution for API management, design, monitoring, and analytics. Key Features: Drag-and-drop user interface.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 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

JUNE 6, 2023

The pipeline includes stages such as data ingestion, extraction, transformation, validation, storage, analysis, and delivery. Technologies like ETL, batch processing, real-time streaming, and data warehouses are used. They are ideal for handling historical data analysis, offline reporting, and batch-oriented tasks.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. Continuous Data Quality Monitoring According to Gartner , poor data quality cost enterprises an average of $15 million per year.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

JANUARY 24, 2024

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. Below is the step-by-step explanation on how change data capture typically works.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Astera

APRIL 23, 2024

Data quality metrics are not just a technical concern; they directly impact a business’s bottom line. million annually due to low-quality data. Furthermore: 41% of data warehouse projects are unsuccessful, primarily because of insufficient data quality.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Astera

MAY 25, 2023

Snowflake is a modern cloud-based data platform that offers near-limitless scalability, storage capacity, and analytics power in an easily managed architecture. Snowflake’s core components are the cloud-based compute node (Snowflake Compute Cloud) and the database schema for storing data (Snowflake Data Warehouse).

Data Quality 52

Data Quality Government Data Governance Monitoring 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

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

However, managing reams of data—coming from disparate sources such as electronic and medical health records (EHRs/MHRs), CRMs, insurance claims, and health-tracking apps—and deriving meaningful insights is an overwhelming task. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

NOVEMBER 27, 2023

Here are some of the distinct advantages of data profiling: Informed Decision-Making: Data profiling provides a clear understanding of the available data, its quality, and its structure. Astera stands out as a comprehensive solution that offers advanced data profiling, cleansing, and validation capabilities.

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

Astera

MARCH 31, 2023

In today’s data-driven world, businesses rapidly generate massive amounts of data. Managing this data effectively and timely is critical for decision-making, but how can they make sense of all this data most efficiently? Everyone with the same access level can access the same data to work with.

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Astera

JUNE 13, 2023

Data Streaming For real-time or streaming data, they employs techniques to process data as it flows in, allowing for immediate analysis, monitoring, or alerting. Stream processing platforms handle the continuous flow of data, enabling real-time insights. Find out How

E-Commerce 52

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

Actian

MAY 22, 2019

When most company leaders think about their data warehouse and the systems connected to it, they typically think about their internal IT systems. For companies with outsourced supply chains, real time integration with their suppliers’ systems and data warehouse can enable better insights, better security and more supply-chain agility.

Supply Chain 40

Supply Chain Agile Data Warehouse Monitoring 40

Actian

FEBRUARY 24, 2020

Recent technology trends, such as IoT, embedded sensors, data subscriptions, and mobile apps, have greatly expanded your data collection options. These new data collection technologies enable you to monitor what is going on both inside your operations as well as in the broader business environment in real-time.

Data Warehouse 40

Data Warehouse Real-time Data Agile Big Data 40

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

Actian

FEBRUARY 25, 2020

Some exciting technology trends are emerging that are projected to hit the mainstream over the next few years that will have a significant impact on your data management systems. The IT industry is changing rapidly, and there are 4 key emerging technology trends that data management and IT professionals should be monitoring closely.

Data Warehouse 40

Data Warehouse Data Management Data Modelling Monitoring 40

Actian

JULY 16, 2019

IoT devices (such as smart watches, fitbits, home sensors, RFID point of sale scanners, heartbeat monitors, etc) have become attractive and useful because of their inexpensive price point, ease of setup/administration and their diverse capabilities. IoT devices are everywhere and used in a variety of industries and use cases.

Digital Transformation 40

Digital Transformation Data Warehouse Real-time Data Monitoring 40

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Data Management. Unscalable data architecture.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Actian

FEBRUARY 19, 2019

Six Sigma uses statistical monitoring techniques to identify anomalies so they can be addressed quickly before they develop into significant business impacts. The challenge with each of these approaches is the timeliness of data for making decisions. Lessons from Kaizen. Continuous improvement is happening too slowly.

Real-time Data 40

Real-time Data Supply Chain Data Warehouse Monitoring 40

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 Cloud Computing Data Quality 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 Cloud Computing Data Quality Monitoring 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)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Astera

JANUARY 2, 2024

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. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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

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

Actian

SEPTEMBER 12, 2019

Companies use distributed AI algorithms to monitor and optimize real-time operations – receiving inputs from embedded sensors, GPS-enabled mobile applications, IoT devices, and video cameras and aggregating this data into a holistic, digital representation of the physical operations. How AI at the edge is being used.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

Actian

JUNE 4, 2019

Implementing a data warehouse is a big investment for most companies and the decisions you make now will impact both your IT costs and the business value you are able to create for many years. Data Warehouse Cost. Your data warehouse is the centralized repository for your company’s data assets.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

Astera

OCTOBER 19, 2023

It should be able to adjust to new technologies, handle increasing data volumes, and accommodate new business goals. Top 5 Data Preparation Tools for 2023 1. The platform’s easy-to-use visual interface allows you to design and develop end-to-end data pipelines without coding.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Business Analysis Knowledge Share

OCTOBER 24, 2023

This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount.

IBM Maintenance 73

IBM Maintenance Data Warehouse IBM cost Data Quality 73

Astera

NOVEMBER 28, 2023

Data pipelines improve data management by: Streamlining Data Processing: Data pipelines are designed to automate and manage complex data workflows. For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Warehouse 321

Data Warehouse Big Data Procurement Data Visualization 321

Actian

JULY 17, 2019

If your company has existed for a number of years, then you likely have multiple databases, data marts and data warehouses, developed for independent business functions, that now must be integrated to provide the holistic perspective that digitally transformed business processes require. Why are distributed queries problematic?

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

BizAcuity

APRIL 1, 2023

So to achieve the benefits of consolidation, Company B’s billing system must be integrated into Company A’s billing system which can be easily done by Informatica Informatica tool for Data Warehousing: Companies establishing their warehouses of data will need ETL to transfer the data to the warehouse from the Production system.

Data Warehouse 130

Data Warehouse Government Documentation Monitoring 130

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. Considering cloud-first data management?

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52