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Recap of Hadoop News for January 2017

ProjectPro

News on Hadoop-January 2017 Big Data In Gambling: How A 360-Degree View Of Customers Helps Spot Gambling Addiction. The largest gaming agency in Finland, Veikkaus is using big data to build a 360 degree picture of its customers. Source : [link] How Hadoop helps Experian crunch credit reports. Forbes.com, January 5, 2017.

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Top 4 Reasons Why You Should Upgrade Your Stream Processing Workloads To CDP

Cloudera

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

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The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines.

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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, Azure Data Lake, Azure Blob Storage, Azure Cosmos DB, Azure Stream Analytics, Azure HDInsight, and other Azure data services are just a few of the many Azure data services that Azure data engineers deal with.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

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Azure Data Engineer Skills – Strategies for Optimization

Edureka

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.