Whizlabs

APRIL 4, 2021

Data streaming is one of the most important requirements for businesses in the present times for various reasons. First of all, data is driving the efficiency of businesses in arriving at favorable decisions regarding operations, sales, and marketing. Kinesis Data Analytics. What is Amazon Kinesis?

Real-time Data 64

Real-time Data Data Analytics Data Analytics Monitoring 64

Astera

FEBRUARY 7, 2024

This process also eradicates the need for intermediate data storage in a staging area. So, let’s dig further and see how zero-ETL works and how i t can b e beneficial in certain data management use cases. Adopting real-time data streaming technologies can also minimize the latency associated with data processing.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

Astera

APRIL 24, 2024

ETL (Extract, Transform, Load) Tools : While ETL tools can handle the overall data integration process, they are also often used for data ingestion. Data Integration Platforms : Data integration platforms offer multiple data handling capabilities, including ingestion, integration, transformation, and management.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Data Pine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

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

The BAWorld

SEPTEMBER 18, 2024

Preloading the data before transforming it lets ELT fully take advantage of the computational power of such systems. The procedure is much faster than traditional techniques, like ETL, in processing the data and provides greater flexibility in the management of data.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Astera

SEPTEMBER 25, 2024

Add to that data velocity , variety , and veracity (the four Vs), and it becomes clear that conventional ETL needs to evolve to keep up with the data explosion. That’s where automated ETL comes in to modernize data management. Have a chat with us to see if your data is ready for automation.

Data Modelling 52

Data Modelling Real-time Data Vision Business Intelligence 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 Reverse ETL?

Data Warehouse 52

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

Astera

SEPTEMBER 4, 2023

This scalability is particularly beneficial for growing businesses that experience increasing data traffic. Enable Real-time Analytics: Data replication tools continuously synchronize data across all systems, ensuring that analytics tools always work with real-time data.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Actian

DECEMBER 2, 2019

In this, the 2nd of a 3-article series, on how the Avalanche cloud data warehouse and Actian DataConnect integration platform work together to help companies realize the real-time analytics vision faster by enabling customers and users to easily and quickly access the data, analytics, and insights they need to drive impactful business results.

Data Warehouse 8

Data Warehouse Digital Transformation Real-time Data Vision 8

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Data Pine

NOVEMBER 5, 2019

And we’re not just talking about marketing, but all your business’ bits and pieces should embrace the power of modern data analysis and utilize a professional dashboard creator that will enhance your data management processes. Still unsure? Intelligent reporting.

Monitoring 88

Monitoring Visualization Big Data Chief Data Officer 88

Astera

AUGUST 8, 2023

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. You can visualize and explore data intuitively for accuracy and consistency.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. However, data federation can introduce some performance challenges.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. However, data federation can introduce some performance challenges.

Data Warehouse 52

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

Astera

MARCH 11, 2024

According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes. Try Astera for free for 14 days and optimize your ETL.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 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. AI is a powerful tool that goes beyond traditional data analytics. Trends AI is already shaping the processes surrounding data warehousing in many ways.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

OCTOBER 27, 2023

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

The BAWorld

NOVEMBER 8, 2024

But, before we do that, you can check out our B usiness Analytics Certification Training that we offer to enhance your knowledge and gain a better understanding of what data analytics is all about and simultaneously gain a credential by IIBA. What is Business Analytics? Let’s head into the article!

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Predictive Analytics Data Discovery Data Mining Visualization 40

Astera

DECEMBER 10, 2024

Astera Astera is an award-winning, enterprise-grade, no-code data management and document processing solution. Their AP automation solution offers automated invoicing, spend analytics and compliance features. Improved Reporting & Analytics Better reporting and data analytics are also a benefit of AP automation software.

Procurement 52

Procurement Finance Documentation Monitoring 52

Monday

MARCH 31, 2021

With IoT (the internet of things), big data, and AI on the way, supply chain professionals are turning to technology. More than half of all surveyed companies think they’ll widely adopt big data analytics by 2030. Without the time-lag, you can predict supply chain issues before they happen. Image Source ).

Supply Chain 52

Supply Chain Retail Big Data Real-time Data 52

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.

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IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Actian

JUNE 17, 2019

Batch processing of data from source systems and nightly refreshes of reports and dashboards, for example, simply isn’t sufficient to support the demands of modern businesses where minutes can represent the difference between an opportunity captured or lost and a risk becoming a crippling major incident.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Astera

SEPTEMBER 20, 2024

A cloud database operates within the expansive infrastructure of providers like AWS, Microsoft Azure, or Google Cloud, utilizing their global network of data centers equipped with high-performance servers and storage systems. They are based on a table-based schema, which organizes data into rows and columns.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

GAVS Technology

SEPTEMBER 14, 2021

Application of Machine Learning to Data Test Cases. AIOps enabled machine learning and algorithms can be used to test data analytics or specific cases before they are applied to actual, real-time events. These algorithms take into consideration the data and capture available knowledge.

E-Commerce 40

E-Commerce Customer Experience Customer Experience Retail 40

Astera

AUGUST 5, 2024

What is Business Analytics? Business analytics is analyzing data to find insights that inform business decisions. Fundamentally, it involves applying data analytics tools and techniques to a business setting to simplify decision-making and improve business outcomes.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Actian

SEPTEMBER 3, 2019

As AI and machine learning become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses used for analytics.

Data Architecture 40

Data Architecture User Experience Data Warehouse Real-time Data 40

Actian

SEPTEMBER 3, 2019

As AI and machine learning become more actively involved in defining user experience, the lines are blurring between traditionally separate transactional databases and data warehouses used for analytics.

Data Architecture 40

Data Architecture User Experience Data Warehouse Real-time Data 40

Data Pine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.

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Healthcare Big Data Data Analytics Data Analytics 145

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 Data Mining 105

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. Let’s break it down for you.

Digital 257

Digital Business Intelligence Business Intelligence Monitoring 257

Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals. Try it Now!

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Astera

APRIL 24, 2024

The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.

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IBM Support IBM cost IBM Maintenance Visualization 52

Inflexion Analytics

JUNE 17, 2024

The notion of a digital enterprise has evolved significantly, evolving from merely leveraging digital technology to encompass automated data collection, analytics, and data-driven decision-making. Their latest offering, Cloud Data Fusion, further solidifies their competitive edge.

Digital 52

Digital E-Commerce Real-time Data Data Warehouse 52

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. For this purpose, you can think about a data governance strategy.

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Business Intelligence Business Intelligence Chief Data Officer Government 87