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30+ Big Data Interview Questions

Analytics Vidhya

Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools.

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Databricks Lakehouse Platform Streamlines Big Data Processing

David Menninger's Analyst Perspectives

Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. The platform supports streaming data, SQL queries, graph processing and machine learning.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

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Data Governance, Then and Now

David Menninger's Analyst Perspectives

We’ve recently published our latest Benchmark Research on Data Governance and it’s fair to say, “you’ve come a long way, baby.” We’ve learned a lot about cigarettes since then, and we’ve learned a lot about data governance, too.

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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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6 Big Data Mistakes You Must Avoid At All Costs

Smart Data Collective

However, while doing so, you need to work with a lot of data and this could lead to some big data mistakes. But why use data-driven marketing in the first place? When you collect data about your audience and campaigns, you’ll be better placed to understand what works for them and what doesn’t. Using Small Datasets.

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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting.

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