Remove Data Analytics Remove Data Processing Remove Data Quality
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The DataOps Vendor Landscape, 2021

DataKitchen

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. OwlDQ — Predictive data quality.

Testing 304
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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

They are often unable to handle large, diverse data sets from multiple sources. Another issue is ensuring data quality through cleansing processes to remove errors and standardize formats. Staffing teams with skilled data scientists and AI specialists is difficult, given the severe global shortage of talent.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

Manish Limaye Pillar #1: Data platform The data platform pillar comprises tools, frameworks and processing and hosting technologies that enable an organization to process large volumes of data, both in batch and streaming modes. Implementing ML capabilities can help find the right thresholds.

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Data Analytics Helps Property Management Companies Join The 21st Century

Smart Data Collective

A growing number of property management companies around the world are recognizing the benefits of data analytics. Analytics is a necessary element of any digital marketing strategy. Analyzing data patterns and trends is key to ensuring a company reaches the right customers and targets people in the right way.

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How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

Domain ownership recognizes that the teams generating the data have the deepest understanding of it and are therefore best suited to manage, govern, and share it effectively. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 105
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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. The data science and AI teams are able to explore and use new data sources as they become available through Amazon DataZone.

IoT 111
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Get The Most Out Of Smart Business Intelligence Reporting

datapine

The customizable nature of modern data analytic stools means that it’s possible to create dashboards that suit your exact needs, goals, and preferences, improving the senior decision-making process significantly. Enhanced data quality. Data storytelling capabilities: Our brains are wired to absorb compelling narratives.