Astera

SEPTEMBER 21, 2022

Astera showcased its code-free data management platform and its latest addition, Astera Data Services. Our team interacted with various conference participants and discussed opportunities to accelerate data-driven initiatives. It really affects the ability to respond to changing data requirements quickly.”

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Big Data Customer Experience Customer Experience Government 52

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

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ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

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The BAWorld

MARCH 13, 2024

It ensures data consistency, accessibility, and integrity, facilitating efficient data storage, retrieval, and analysis. By modeling data entities and connections, analysts determine data requirements, standardize databases, and refine data management practices.

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Astera

JANUARY 18, 2024

So, in case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution. Fivetran might be a viable solution if your data is already in good shape, and you need to leverage the computing power of the destination system.

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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. Moreover, highly complex data require more development and maintenance resources to maintain zero-ETL solutions.

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The Data Administration Newsletter

OCTOBER 5, 2022

Governance for Acquired Data / Selecting Sources Our next column in the series explores challenges with governing acquired data, and then we’ll introduce a framework for managing acquired data— the data acquisition lifecycle.

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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

Juice Analytics

MAY 19, 2021

Without arriving at shared definitions and terminology, your data discussion will get stuck in fruitless debates. Where to get started: There are many high-tech Master Data Management solutions… not the place to start. Link to it when you present data in a dashboard, report, or data story.

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Astera

MAY 9, 2023

The Explosion in Data Volume and the Need for AI The global AI market today stands at $100 billion and is expected to grow 20-fold up to nearly two trillion dollars by 2030. This massive growth has a spillover effect on various areas, including data management.

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Astera

NOVEMBER 1, 2023

Faster Decision-Making: Quick access to comprehensive and reliable data in a data warehouse streamlines decision-making processes, which enables financial organizations to respond rapidly to market changes and customer needs. It provides a tailored set of data warehouse automation features to meet your specific data requirements.

Data Warehouse 52

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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. Its efficiency diminishes notably in such cases.

E-Commerce 52

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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.

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Netmind

MARCH 9, 2021

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. How do we ensure good data governance?

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Netmind

NOVEMBER 1, 2020

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. How do we ensure good data governance?

Data Governance 52

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Astera

MAY 4, 2023

Without proper data management, companies struggle to access and use data required for AI implementation, which can lead to poor results or even failure. Try Astera Data Stack First-hand for All Your Data Management Needs Explore our Platform Sign up for a custom demo !

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Actian

SEPTEMBER 12, 2019

As these distributed AI algorithms in edge devices become more sophisticated, persistent data requirements must advance at the same pace to enable the emerging use cases and immersive experiences that the market demands. You can learn more about Actian’s Cloud Data Warehouse here.

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Smart Data Collective

JUNE 19, 2019

They include the identification of the potential risk, analysis of its potential effects, prioritizing, and developing a plan on how to manage the risk in case it occurs. Aligning these elements of risk management with the handling of big data requires that you establish real-time monitoring controls.

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Astera

OCTOBER 19, 2023

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement. Top 5 Data Preparation Tools for 2023 1.

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Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

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Astera

MAY 11, 2023

The Power of Synergy: AI and Data Extraction Transforming Business Intelligence The technologies of AI and Data Extraction work in tandem to revolutionize the field of Business Intelligence. AI can analyze vast amounts of data but needs high-quality data to be effective.

Business Intelligence 40

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Smart Data Collective

OCTOBER 26, 2019

Additionally, having a data storage of such magnitude off-site could potentially result in hefty transport fees if the off-site location is far away. Furthermore, data backups take time and with data lakes, this time could run into the dozens, even hundreds of hours depending on the volume of data required.

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Astera

JUNE 14, 2023

Limitations of Manual Document Data Extraction Besides being error-prone and time-consuming, manual document data extraction has several other challenges and limitations, including: Lack of Scalability: Manual methods are not scalable, making it challenging to handle increasing volumes of documents efficiently.

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Astera

DECEMBER 21, 2022

Moving data warehouses to the cloud relieve businesses from worrying about insufficient storage and lowers their overhead and maintenance costs. A cloud DWH is critical for businesses that need to make quick, data-driven decisions. What are the Benefits of Cloud Data Warehouses Compared to On-premise Solutions?

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Astera

JUNE 14, 2023

Here are a few tips to help you make the most of the data extraction experience: Understand your data requirements: Before kicking off your project, take time to assess your data needs and ensure that your software can support them. It also has OCR capabilities to extract data from scanned PDFs.

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Data Pine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from?

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Whizlabs

DECEMBER 13, 2020

However, now DevOps teams will continue to participate more in the data strategy process. The outcomes of these trends would refer to the increased mobility of workloads associated with a rise in cloud data management techniques. Furthermore, businesses could also require the ability to control their releases to the end-users.

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Astera

JULY 18, 2023

Repeatability and Documentation: You can easily create automated workflows or scripts to capture the steps performed during the data preparation process and then repeat them for consistency and reproducibility in analysis. Astera offers end-to-end data management from extraction to data integration, data warehousing and even API management.

Data Quality 52

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Astera

MARCH 19, 2024

Implementing security measures to protect data from unauthorized access, breaches, or misuse is crucial for maintaining confidentiality and compliance with regulations. Data Governance Vs. Data Management What’s the difference between data governance and data management?

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Smart Data Collective

OCTOBER 17, 2022

It stores the data of every partner business entity in an exclusive micro-DB while storing millions of databases. It moves the data at a massive scale thereby attesting data integrity and speedier delivery. Data Pipeline: Use Cases. With the growth of big data, data management is now an ever-increasing priority.

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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

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Astera

OCTOBER 12, 2023

Let’s review the top 7 data validation tools to help you choose the solution that best suits your business needs. Top 7 Data Validation Tools Astera Informatica Talend Datameer Alteryx Data Ladder Ataccama One 1. Astera Astera is an enterprise-grade, unified data management solution with advanced data validation features.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

NOVEMBER 28, 2023

Importance of Data Pipelines Data pipelines are essential for the smooth, automated, and reliable management of data throughout its lifecycle. They enable organizations to derive maximum value from their data assets. Your goals will guide the design, complexity, and scalability of your pipeline.

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Astera

MARCH 26, 2023

But managing this data can be a significant challenge, with issues ranging from data volume to quality concerns, siloed systems, and integration difficulties. In this blog, we’ll explore these common data management challenges faced by insurance companies.

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Documentation Data Quality Data Warehouse Data Management 52

Smart Data Collective

OCTOBER 17, 2022

All of that data puts a load on even the most powerful equipment. Reports and models stutter as they try to interpret the massive amounts of data flowing through them. If you’re not careful, your engineers’ data requirements may overwhelm your computers’ capacity. Time is precious for most teams of engineers.

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Astera

DECEMBER 7, 2023

Healthcare Data Management In healthcare, ETL batch processing is used to aggregate patient records, medical histories, treatment data, and diagnostics from diverse sources. This includes generating reports, audits, and regulatory submissions from diverse data sources.

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