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The Three Big Announcements by Databricks AI Team in June 2024

Marktechpost

In June 2024, Databricks made three significant announcements that have garnered considerable attention in the data science and engineering communities. These announcements focus on enhancing user experience, optimizing data management, and streamlining data engineering workflows.

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Journey to AI blog

enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. It leverages machine learning algorithms to continuously learn and adapt to workload patterns, delivering superior performance and reducing administrative efforts.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning Blog

In that post, you can learn more about the developmental lifecycle of a generative AI application and the additional skills, processes, and technologies needed to operationalize generative AI applications. Tanvi Singhal is a Data Scientist within AWS Professional Services.

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Introducing the Amazon Comprehend flywheel for MLOps

AWS Machine Learning Blog

MLOps focuses on the intersection of data science and data engineering in combination with existing DevOps practices to streamline model delivery across the ML development lifecycle. MLOps requires the integration of software development, operations, data engineering, and data science.

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10 Best Data Engineering Books [Beginners to Advanced]

Pickl AI

Data Engineering plays a critical role in enabling organizations to efficiently collect, store, process, and analyze large volumes of data. It is a field of expertise within the broader domain of data management and Data Science. Salary of a Data Engineer ranges between ₹ 3.1 Lakhs to ₹ 20.0

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Unlocking the 12 Ways to Improve Data Quality

Pickl AI

Data Governance Establish data governance policies to define roles, responsibilities, and data ownership within your organization. ETL (Extract, Transform, Load) Processes Enhance ETL processes to ensure data quality checks are performed during data ingestion.

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Driving Progress with Open Data Science: Trends, Tools, and Opportunities

ODSC - Open Data Science

What was once only possible for tech giants is now at our fingertipsvast amounts of data and analytical tools with the power to drive real progress. Open data science is making it a reality. Remarkably, open data science is democratizing analytics. In fact, statistics show the expansion firsthand.