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Big Data Strategies Hinge on Using Drop Tables in SQL Servers

Smart Data Collective

Are you running a company with a focus on big data? One survey showed that 32% of companies have a formal big data strategy. These companies tend to be far more profitable than businesses that do not utilize big data. However, some companies have to learn the hard way that desiring to utilize big data is not enough.

Big Data 105
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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

The features can be raw data that has been processed or analyzed or derived. The ML workflow for creating these features is referred to as feature engineering. The storage for these features is referred to as a feature store. Data and ML model development fundamentally depend on one another.

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Incremental Strategies to Move Your Data Strategy Forward Remove Obstacles to Unlock Possibilities in Financial Services

Cloudera

For example, providers can start by including more real-time data streams that can enhance customer interactions. Streaming market data, news feeds, or sending a budget alert can be introduced to a service without a complete overhaul. Cloudera refers to this as universal data distribution, as explored further in this blog post.

Strategy 107
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Use open table format libraries on AWS Glue 5.0 for Apache Spark

AWS Big Data

As organizations grapple with exponential data growth and increasingly complex analytical requirements, these formats are transitioning from optional enhancements to essential components of competitive data strategies. For more details, refer to Iceberg Release 1.6.1. For more details, refer to Delta Lake Release 3.2.1.

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Analytics By Design, For The Analytics Win

Rocket-Powered Data Science

Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments! AI strategies and data strategies should therefore focus on outcomes first.

Analytics 193
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New Approach to Reference Data Management in Pharma

TDAN

Data supply chains in pharma and life sciences are generally long and complex. This impacts reference data in particular because its management is very distributed, leading to the increased need for downstream integration as well as overall redundancy. Although it might seem […].

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Expand data access through Apache Iceberg using Delta Lake UniForm on AWS

AWS Big Data

Under the hood, UniForm generates Iceberg metadata files (including metadata and manifest files) that are required for Iceberg clients to access the underlying data files in Delta Lake tables. Both Delta Lake and Iceberg metadata files reference the same data files. in Delta Lake public document. Appendix 1.

Metadata 110