Author: Irfan Ahmediqbal-ahmed

Engineering your Data Warehouse with an Iterative Approach

Successful data warehouse initiatives generally use an agile, iterative development approach that ensures delivering quality insights to end users based on current business data.Successful data warehouse initiatives generally use an agile, iterative development approach that ensures delivering quality insights to end users based on current business data.

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DWA Series Part 1: Why It Makes Sense for Your Business?

Data warehouse automation is a mindset shift. Once adopted, it ensures a faster data-to-value journey, gives more room for innovation, and makes work more purpose-oriented and enjoyable for your IT team.

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ETL for Data Warehouse Initiatives: A Closer Look

ETL is one of the core components of the data warehousing process. Designing and preparing the ETL pipelines for an enterprise data warehouse requires thorough planning and the right tools to ensure accurate data analytics.

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Partner Onboarding: Process, Challenges, and Best Practices

Businesses with global supply chains depend heavily on partnerships with local and regional vendors and suppliers to provide products and services to meet customer demands efficiently. All these external partners help businesses access markets that would be challenging to establish […]

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Data Virtualization: Architecture, Tools, & Features Explained

Owing to their widespread operations, enterprises resort to different types of systems that manage heterogeneous data. These systems are connected via an intricately knit data infrastructure, comprising of databases, data warehouses, marts, and lakes, storing key pieces of intelligible insights. […]

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Data Cleansing Tools: What You Need to Know?

Data cleansing has made the reliance on data information manageable by maintaining data quality and keeping integrity a top priority for businesses. However, if data quality issues are not identified and validated at an early stage, bad data can lead […]

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Streamline Real-Time Data Integration by Leveraging Workflows

A study by IDC predicts that the worldwide data volume will grow to an enormous 175 zettabytes (ZB) by 2025. Managing growing volumes of data from diverse sources can be a tricky feat. For this reason, many organizations leverage data […]

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2019 Recap: A Year of Achievements and Milestones

As we step into 2020, we want to take a moment to reflect upon all the milestones and achievements that we accomplished in 2019, and extend our gratitude to our employees and customers for making it a great year. Whether […]

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ETL: What It Means and Why Is It Important?

IDC predicts that the collective sum of global data will grow from 33 zettabytes to 175 zettabytes by 2025. To derive value from this voluminous information growth, businesses are required to extract data from disparate sources and create an integrated […]

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Data Quality Management: What It is and Why It Is Important?

Data is the lifeblood of an organization that forms the basis for many critical business decisions. However, organizations should have an extensive data quality process flow in place to ensure the viability of data, as accurate data can help deliver […]

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Join Us for a Live Webinar to Get a Peek into What’s New in Centerprise 8.0

Mark your calendars to join Mike O’Quinn, CTO of Astera Software, for an insightful webinar on Fast-Track Your Data Management Initiatives with Centerprise 8.0 on May 7th, 2019 at 11:00 am to 12:00 pm PDT. Webinar Overview Centerprise 8.0 features significant […]

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Data Extraction Tools: Bridging the Gap Between Unstructured and Structured Data

A voluminous increase in unstructured data has made data management and extraction challenging as 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. A research […]

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PDF-Based Data Extraction Made Easy with Astera ReportMiner

Businesses have used PDF format for exchanging data because of its convenience and reliability. However, manual extraction of data from PDFs is a challenging task. Some of the commonly exchanged PDF documents include purchase orders, invoices, financial statements, and valuation […]

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An Automated Approach to Modeling Your Slowly Changing Dimensions

Business data is inherently susceptible to change with the passage of time and impacts the business in different ways. In data warehouses, the effect of time on our dimensions and facts requires careful study for the repository to meet the […]

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