phData

AUGUST 6, 2024

As today’s world keeps progressing towards data-driven decisions, organizations must have quality data created from efficient and effective data pipelines. For customers in Snowflake, Snowpark is a powerful tool for building these effective and scalable data pipelines.

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ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. However, each year the skills and certainly the platforms change somewhat.

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Mlearning.ai

APRIL 6, 2023

Automate and streamline our ML inference pipeline with SageMaker and Airflow Building an inference data pipeline on large datasets is a challenge many companies face. We use DAG (Directed Acyclic Graph) in Airflow, DAGs describe how to run a workflow by defining the pipeline in Python, that is configuration as code.

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AWS Machine Learning Blog

JUNE 18, 2024

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. As always, AWS welcomes your feedback.

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Precisely

JANUARY 19, 2023

In 2023 and beyond, we expect the open source trend to continue, with steady growth in the adoption of tools like Feilong, Tessla, Consolez, and Zowe. With the emergence of cloud hyperscalers like AWS, Google, and Microsoft, the shift to the cloud has accelerated significantly.

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Towards AI

OCTOBER 4, 2023

Last Updated on October 6, 2023 by Editorial Team Author(s): ????Mike Advanced-Data Engineering and ML Ops with Infrastructure as Code This member-only story is on us. This article is for data and ML Ops engineers who would want to deploy and update ML pipelines using CloudFormation templates.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

With a user base of over 37 million active consumers and 2 million monthly active Dashers at the end of 2023, the company recognized the need to reduce the burden on its live agents by providing a more efficient self-service experience for Dashers. You can deploy the solution in your own AWS account and try the example solution.

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AWS Machine Learning Blog

AUGUST 21, 2024

By walking through this specific implementation, we aim to showcase how you can adapt batch inference to suit various data processing needs, regardless of the data source or nature. Prerequisites To use the batch inference feature, make sure you have satisfied the following requirements: An active AWS account.

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AWS Machine Learning Blog

OCTOBER 7, 2024

By using the natural language processing and generation capabilities of generative AI, the chat assistant can understand user queries, retrieve relevant information from various data sources, and provide tailored, contextual responses. See Data source connectors for a list of supported data source connectors for Amazon Kendra.

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AWS Machine Learning Blog

MARCH 15, 2024

This approach can help heart stroke patients, doctors, and researchers with faster diagnosis, enriched decision-making, and more informed, inclusive research work on stroke-related health issues, using a cloud-native approach with AWS services for lightweight lift and straightforward adoption. Stroke victims can lose around 1.9

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AWS Machine Learning Blog

DECEMBER 5, 2023

AWS is especially well suited to provide enterprises the tools necessary for deploying LLMs at scale to enable critical decision-making. In their implementation of generative AI technology, enterprises have real concerns about data exposure and ownership of confidential information that may be sent to LLMs.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Around this time, industry observers reported NVIDIA’s strategy pivoting from its traditional gaming and graphics focus to moving into scientific computing and data analytics.

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Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. We sketch out ideas in notebooks, build data pipelines and training scripts, and integrate with a vibrant ecosystem of Python tools.

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Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. The global data warehouse as a service market was valued at USD 9.06

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Precisely

JANUARY 18, 2024

In fact, in a 2023 BMC survey , 92% of respondents said they see the mainframe as a platform for long-term growth and new workloads. With the emergence of cloud hyperscalers like AWS, Google, and Microsoft, the shift to the cloud has accelerated significantly. The mainframe is alive and well, and it’s not going anywhere anytime soon.

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Precisely

MARCH 4, 2024

A striking revelation from the 2023 Gartner IT Symposium Research Super Focus Group showed that only 4% of businesses considered their data AI-ready. This big wake-up call emphasizes the urgent need for organizations to enhance their data management practices to pave the way for trusted AI applications.

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AI AI Data Quality Artificial Intelligence 72

IBM Journey to AI blog

JULY 17, 2023

.” Das Kamhout, VP and Senior Principal Engineer of the Cloud and Enterprise Solutions Group at Intel Watsonx.data supports our customers’ increasing needs around hybrid cloud deployments and is available on premises and across multiple cloud providers, including IBM Cloud and Amazon Web Services (AWS).

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phData

SEPTEMBER 15, 2023

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. The Salesforce Sync Out connector moves Salesforce data directly into Snowflake, simplifying the data pipeline and reducing latency.

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Tableau

DECEMBER 7, 2022

Allison (Ally) Witherspoon Johnston Senior Vice President, Product Marketing, Tableau Bronwen Boyd December 7, 2022 - 11:16pm February 14, 2023 In the quest to become a customer-focused company, the ability to quickly act on insights and deliver personalized customer experiences has never been more important.

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phData

JULY 5, 2024

In a survey conducted in 2023 , over three-quarters of the executives surveyed believed that artificial intelligence would disrupt their business strategy. The generative AI solutions from GCP Vertex AI, AWS Bedrock, Azure AI, and Snowflake Cortex all provide access to a variety of industry-leading foundational models.

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phData

DECEMBER 4, 2023

If you answer “yes” to any of these questions, you will need cloud storage, such as Amazon AWS’s S3, Azure Data Lake Storage or GCP’s Google Storage. Data Pipelines “Data pipeline” means moving data in a consistent, secure, and reliable way at some frequency that meets your requirements.

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phData

MARCH 26, 2024

However, it is now available in public preview in specific AWS regions, excluding trial accounts. The real benefit of utilizing Hybrid tables is that they bring transactional and analytical data together in a single platform. Hybrid tables can streamline data pipelines, reduce costs, and unlock deeper insights from data.

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Flipboard

MARCH 21, 2025

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems. Environments are the actual data infrastructure behind a project.

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The MLOps Blog

JANUARY 23, 2023

Dolt LakeFS Delta Lake Pachyderm Git-like versioning Database tool Data lake Data pipelines Experiment tracking Integration with cloud platforms Integrations with ML tools Examples of data version control tools in ML DVC Data Version Control DVC is a version control system for data and machine learning teams.

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phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Monthly Updates Microsoft shows continual investment in the product and its user base by updating Power BI monthly.

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The MLOps Blog

MARCH 21, 2023

You don’t need a bigger boat : The repository curated by Jacopo Tagliabue shows how several (mostly open-source) tools can be effectively combined together to run data pipelines at scale with very small teams. If your organization runs its workloads on AWS , it might be worth it to leverage AWS SageMaker.

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phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

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The MLOps Blog

MAY 9, 2023

In this article, you will: 1 Explore what the architecture of an ML pipeline looks like, including the components. 2 Learn the essential steps and best practices machine learning engineers can follow to build robust, scalable, end-to-end machine learning pipelines. What is a machine learning pipeline? Kale v0.7.0.

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AWS Machine Learning Blog

MARCH 27, 2025

If prompted, set up a user profile for SageMaker Studio by providing a user name and specifying AWS Identity and Access Management (IAM) permissions. AWS SDKs and authentication Verify that your AWS credentials (usually from the SageMaker role) have Amazon Bedrock access. Open a SageMaker Studio notebook: Choose JupyterLab.

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Precisely

JANUARY 6, 2025

If youre like many modern organizations, you may be managing data across an increasingly complex landscape of on-premises platforms, cloud services, and legacy systems and facing challenges in doing so. According to the 2023 Gartner Cloud End-User Behavior Survey, 81% of respondents use multiple cloud providers.

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