Astera

NOVEMBER 1, 2023

It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

NOVEMBER 13, 2023

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. In this blog, we will discuss everything about a modern data warehouse including why you should invest in one and how you can migrate your traditional infrastructure to a modern data warehouse.

Data Warehouse 52

Data Warehouse Real-time Data Planning Agile 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

BizAcuity

MAY 16, 2022

In brief, business intelligence is about how well you leverage, manage and analyze business data. When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. When information is at your fingertips, the possibilities are endless.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

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

Sisense

JULY 8, 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. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Sisense

MARCH 27, 2019

To get the most out of data, companies need to analyze it as soon as it is created—when it can provide the most immediate and relevant insights. Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions.

Business Intelligence 74

Business Intelligence Business Intelligence Data Warehouse Supply Chain 74

Actian

FEBRUARY 17, 2020

Your users are happy, but management is starting to ask questions about what’s next and how they can pull together the data from across different systems to drive real-time decision making across your operations. You need a real-time connected data warehouse. To learn more, visit www.actian.com.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Dataversity

DECEMBER 12, 2022

When it comes to data sources, analytic apps developers are facing new and increasingly complex challenges, such as having to deal with higher demand from event data and streaming sources. The post Is Your Database Built for Streaming Data? Yet while streams are clearly the […]. appeared first on DATAVERSITY.

Real-time Data 130

Real-time Data Data Warehouse 130

Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. What is Salesforce Genie Customer Data Cloud, powered by Tableau? .

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. What is Salesforce Genie Customer Data Cloud, powered by Tableau? .

Talent Acquisition 98

Talent Acquisition Data Warehouse Data Architecture Visualization 98

Domo

MAY 24, 2021

Business users, who will be able to quickly process data reports using analytics without bottlenecks from ingestion, access, or availability. Business leaders, who will get reports available in real-time—with the most recent data—to make informed, data-driven decisions.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

Astera

FEBRUARY 26, 2024

Azure SQL Data Warehouse, now called Azure Synapse Analytics, is a powerful analytics and BI platform that enables organizations to process and analyze large volumes of data in a centralized place. However, this data is often scattered across different systems, making it difficult to consolidate and utilize effectively.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Documentation 52

Data Pine

OCTOBER 25, 2022

That said, we’ve selected 16 of the world’s best business intelligence books – invaluable resources that have not only earned a great deal of critical acclaim but are what we consider to be wonderfully presented, incredibly informational, and decidedly digestible. “Data is what you need to do analytics.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

The BAWorld

SEPTEMBER 18, 2024

Data Integration Overview Data integration is actually all about combining information from multiple sources into a single and unified view for the users. This article explains what exactly data integration is and why it matters, along with detailed use cases and methods. Extract: Data is pulled from its source.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

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

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

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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

Astera

SEPTEMBER 28, 2023

Unified View:  Integrating data from disparate sources breaks down  data silos  and provides you with a unified view of your operations and customers. This holistic picture is critical for informed decision-making. Reverse ETL is a relatively new concept in the field of data engineering and analytics.

Data Warehouse 52

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

Actian

FEBRUARY 6, 2020

This event stream data is where companies can identify fascinating trends, behaviors, and relationships that can enable them to understand their operations, their environment, and their customers better. In a rapidly changing environment, business leaders make decisions based on near real-time data.

Data Warehouse 40

Data Warehouse Supply Chain Real-time Data Big Data 40

Astera

DECEMBER 18, 2023

From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Astera

DECEMBER 7, 2023

If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! Handling all that information needs robust and efficient processes. ETL—Extract, Transform, Load— is a pivotal mechanism for managing vast amounts of information. That’s where ETL comes in.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Domo

SEPTEMBER 11, 2019

Over the course of the three days that I was there, I participated in or overheard a variety of conversations, which informed my five key takeaways from the conference. 1 – Some companies are still reluctant to put their data in the cloud We did speak with people who said their CIOs have told them to go “cloud first” on everything.

Data Warehouse 52

Data Warehouse Pharmaceutical Healthcare Real-time Data 52

Actian

JUNE 24, 2019

Data warehousing is not a new concept, but recent developments in the industry are generating a new wave of executive interest and the need to modernize both the approach and solutions for how enterprise data is managed. It is no surprise that Information Security and Risk Management are top of mind for most IT leaders.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Astera

FEBRUARY 20, 2023

Healthcare data integration involves combining data from various touchpoints into a single, consolidated data repository. This data is cleansed and transformed during the process to be usable for reporting and analytics, so healthcare practitioners can make informed, data-driven decisions.

Healthcare 52

Healthcare Data Warehouse Data Mining Data Quality 52

Astera

JANUARY 24, 2024

For instance, a database (SQL Server) of an e-commerce website contains information about customers who place orders on the website. Without CDC, periodic updates to the customer information will involve extracting the entire dataset, processing it, and reloading it into the database. How C hange D ata C apture Works?

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Astera

NOVEMBER 30, 2023

Building upon the strengths of its predecessor, Data Vault 2.0 elevates data warehouse automation by introducing enhanced scalability, agility, and adaptability. It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. vs Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Sisense

MARCH 20, 2019

Data engineers also need to have in-depth database knowledge of SQL and NoSQL since one of the main requirements of the job will be to collect, store, and query information from these databases in real-time. Get ready data engineers, now you need to have both AWS and Microsoft Azure to be considered up-to-date.

Big Data 72

Big Data IBM Maintenance IBM Support Data Warehouse 72

Domo

APRIL 10, 2017

In fact, with the huge volume of data available today, we found that very little of it is informing the daily decisions of many of the retailers we met, who then have to rely on experience and instinct to make decisions. Traditional BI focuses on the central data warehouse, which includes their primary business data.

Retail 52

Retail Supply Chain Real-time Data Data Warehouse 52

Astera

JUNE 6, 2023

These tools play a crucial role in efficiently extracting, transforming, and loading data from various sources into a centralized repository. By doing so, they facilitate easy access to analysis and informed decision-making. As the volume and complexity of data continue to rise, effective management and processing become essential.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

DECEMBER 7, 2023

If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! Handling all that information needs robust and efficient processes. ETL—Extract, Transform, Load— is a pivotal mechanism for managing vast amounts of information. That’s where ETL comes in.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

Actian

DECEMBER 9, 2018

Are your leaders using outdated information, and do they know it? Do you find your data is slowing your decision-making processes and preventing you from being truly agile? Imagine what you could do if you were to harness the power of real-time data. How quickly does your business environment changes?

Data Warehouse 40

Data Warehouse Real-time Data Agile Data Quality 40

Astera

JUNE 13, 2023

In today’s data-centric society, organizations are constantly seeking efficient and reliable ways to process and analyze vast amounts of information. This is where the concept of a data pipeline comes into play. Cloud Data Pipeline: Leverages cloud infrastructure for seamless data integration and scalable processing.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52