phData

NOVEMBER 8, 2024

Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. The first insert statement loads data having c_custkey between 30001 and 40000 – INSERT INTO ib_customers2 SELECT *, '11111111111111' AS HASHKEY FROM snowflake_sample_data.tpch_sf1.customer

Data Lakes 52

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Data Science Dojo

OCTOBER 10, 2023

Building bridges : Think of a young developer who attended an AI conference back in 2019. Data Observability : It emphasizes the concept of data observability, which involves monitoring and managing data systems to ensure reliability and optimal performance.

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AWS Machine Learning Blog

DECEMBER 1, 2023

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. As a web application, SageMaker Studio has improved load time, faster IDE and kernel start up times, and automatic upgrades.

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DataRobot

NOVEMBER 12, 2021

Of the organizations surveyed, 52 percent were seeking machine learning modelers and data scientists, 49 percent needed employees with a better understanding of business use cases, and 42 percent lacked people with data engineering skills. Process Deficiencies. “AI Don’t Reinvent the Wheel: Adopt Tested AI Methods.

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AWS Machine Learning Blog

DECEMBER 7, 2023

About the Authors Nafi Ahmet Turgut finished his master’s degree in electrical & Electronics Engineering and worked as graduate research scientist. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. He loves combining open-source projects with cloud services.

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Tableau

DECEMBER 1, 2021

The Salesforce purchase in 2019. Tableau had its IPO at the NYSE with the ticker DATA in 2013. The Salesforce acquisition in August 2019 ended the Tableau board and the last formal Tableau roles for Chris, Pat, and Christian. Another key data computation moment was Hyper in v10.5 (Jan Sept 2019). IPO in 2013.

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KDnuggets

OCTOBER 9, 2019

Being really good at scoping analytics projects is crucial for team productivity and profitability. You can consistently deliver on time if you work out the issue first, and these four questions can help you prepare.

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Analytics Analytics Data Engineering Data Engineering 250

Smart Data Collective

SEPTEMBER 25, 2019

Big data has been billed as being the future of business for quite some time. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The impact of big data is felt across all sectors of the economy. However, the future is now. The market for Hadoop jobs increased 58% in that timeframe.

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ODSC - Open Data Science

FEBRUARY 21, 2023

I’ll also be giving away copies of my upcoming O’Reilly Report “Leading Biotech Data Teams.” About the author: Jesse Johnson is Vice President of Data Science and Data Engineering at Dewpoint Therapeutics, a drug development Biotech startup founded in 2019 around a scientific field called biomolecular condensates.

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AWS Machine Learning Blog

MAY 15, 2023

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

Schematic of the general components or layers of any ML solution and what they are responsible for Your storage layer constitutes the endpoint of the data engineering process and the beginning of the ML one. It includes your data for training, your results from running your models, your artifacts, and important metadata.

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Smart Data Collective

JULY 25, 2019

The proprietary technologies they use cuts down the time required to come to conclusions and allow the users to view more data when evaluating a client. It has an AI data engine that gathers information from multiple sources, like government data sets and news articles. billion merger with Cloudera.

Big Data 107

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Tableau

NOVEMBER 24, 2019

November 25, 2019 - 4:39am. Having a comprehensive technology stack in the cloud can support the data integration, self-service analytics, and use cases that businesses need to digitally transform and achieve analytics at scale. Jason Dudek. Senior Partner Development Manager. Kevin Glover. Senior Product Manager, Tableau.

Tableau 52

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Tableau

NOVEMBER 24, 2019

November 25, 2019 - 4:39am. Having a comprehensive technology stack in the cloud can support the data integration, self-service analytics, and use cases that businesses need to digitally transform and achieve analytics at scale. Jason Dudek. Senior Partner Development Manager. Kevin Glover. Senior Product Manager, Tableau.

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AWS Machine Learning Blog

OCTOBER 25, 2023

format(as_iso_date(target_date)) } }, } #query raster data using SageMaker geospatial capabilities sentinel2_items = geospatial_client.search_raster_data_collection(**search_params) The response contains a list of matching Sentinel-2 items and their corresponding metadata. format(as_iso_date(target_date)), "EndTime": "{}T23:59:59Z".format(as_iso_date(target_date))

Machine Learning 123

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Tableau

NOVEMBER 24, 2019

November 25, 2019 - 4:39am. Having a comprehensive technology stack in the cloud can support the data integration, self-service analytics, and use cases that businesses need to digitally transform and achieve analytics at scale. Jason Dudek. Senior Partner Development Manager. Kevin Glover. Director, Product Management, Tableau.

Tableau 52

Tableau AWS Analytics Analytics 52

Tableau

DECEMBER 1, 2021

The Salesforce purchase in 2019. Tableau had its IPO at the NYSE with the ticker DATA in 2013. The Salesforce acquisition in August 2019 ended the Tableau board and the last formal Tableau roles for Chris, Pat, and Christian. Another key data computation moment was Hyper in v10.5 (Jan Sept 2019). IPO in 2013.

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Tableau ML ML Database 98

AWS Machine Learning Blog

APRIL 19, 2023

The DJL was created at Amazon and open-sourced in 2019. The DJL continues to grow in its ability to support different hardware, models, and engines. About the authors Fred Wu is a Senior Data Engineer at Sportradar, where he leads infrastructure, DevOps, and data engineering efforts for various NBA and NFL products.

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Women in Big Data

JULY 10, 2023

She finished her second Masters in Computer Engineering and Cybersecurity in 2019 from San Jose State University. Security and Data Science are interlayered sciences that are used to create solutions for companies looking to protect themselves from cyber-criminal threats. Reena covered these two areas in the presentation.

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Big Data Big Data Data Science Data Engineering 52

Flipboard

FEBRUARY 2, 2023

Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season. He has collaborated with the Amazon Machine Learning Solutions Lab in providing clean data for them to work with as well as providing domain knowledge about the data itself.

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Ocean Protocol

JUNE 28, 2023

Ocean Protocol provided two datasets for this exercise: one contained a record of all tweets featuring “$OCEAN” since 2020, while the other included the price history of the OCEAN token since 2019.

Machine Learning 59

Machine Learning Machine Learning Data Analysis Data Analysis 59

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. Just wait until you hear what happened in 2022.

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phData

JANUARY 31, 2024

Utilizing Streamlit as a Front-End At this point, we have all of our data processing, model training, inference, and model evaluation steps set up with Snowpark. Streamlit, an open-source Python package for building web-apps, has grown in popularity since its launch in 2019. Let’s continue by creating a front-end to enable analysts.

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Machine Learning Machine Learning Python Data Scientist 52

Snorkel AI

JUNE 22, 2023

One of a few milestones was setting up our product engineering arm, QB Labs, towards the latter part of 2019. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. That’s the meta point here.

Data Quality 52

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Snorkel AI

JUNE 22, 2023

One of a few milestones was setting up our product engineering arm, QB Labs, towards the latter part of 2019. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. That’s the meta point here.

Data Quality 52

Data Quality ML ML AI 52

Snorkel AI

JUNE 22, 2023

One of a few milestones was setting up our product engineering arm, QB Labs, towards the latter part of 2019. One should really think of us at the level of doing the technical implementation work around designing, developing and operationally deploying data products and services that use ML. That’s the meta point here.

Data Quality 52

Data Quality ML ML AI 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Advances in neural information processing systems 32 (2019). Visualizing data using t-SNE.” Michael Chi is a Senior Director of Technology overseeing Next Gen Stats and Data Engineering at the National Football League. “The Illustrated Transformer.” link] Müller, Rafael, Simon Kornblith, and Geoffrey E.

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Alation

JANUARY 13, 2022

Data mesh forgoes technology edicts and instead argues for “decentralized data ownership” and the need to treat “data as a product”. Gartner on Data Fabric. Moreover, data catalogs play a central role in both data fabric and data mesh.

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Data Lakes Data Governance Data Quality Data Warehouse 59

AWS Machine Learning Blog

SEPTEMBER 19, 2023

It lets engineers provide simple data transformation functions, then handles running them at scale on Spark and managing the underlying infrastructure. This enables data scientists and data engineers to focus on the feature engineering logic rather than implementation details. 2023| New| NA|36895.00|36895|

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DataSeries

OCTOBER 13, 2024

The future might see a greater demand for professionals who combine data science skills with deep domain expertise (e.g., healthcare, finance), rather than generalist data scientists. Statistical Projections The U.S. However, the nature of these roles is expected to change significantly by 2030.

Data Science 40

Data Science Data Scientist ML ML 40

ODSC - Open Data Science

APRIL 10, 2023

Consider data engineering as an example. Armed with the right level of abstraction and some good documentation, we’ve seen engineers leverage technologies like DBT to do in a few afternoons what took teams of specialized experts beforehand.Now, we believe it’s ML’s turn.

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phData

MAY 25, 2023

The December 2019 release of Power BI Desktop introduced a native Snowflake connector that supported SSO and did not require driver installation. Use Power BI’S Native Snowflake Connector You can connect Power BI to Snowflake just like you can connect Power BI to any other database using the native connector that was released in 2019.

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Pickl AI

SEPTEMBER 25, 2024

The latest version, COBIT 2019, integrates new technologies and practices to meet current business needs. More for you to see: Big Data Engineers: An In-depth Analysis. Definition and History of COBIT COBIT was first introduced in 1996 to address the growing need for a structured approach to IT governance.

Big Data 52

Big Data Big Data Data Governance Data Science 52

Alation

FEBRUARY 8, 2022

Data mesh inverts the common model of having a centralized team (such as a data engineering team), who manage and transform data for wider consumption. In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data.

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The MLOps Blog

MARCH 20, 2023

These practices are essential for data scientists, data engineers, or machine learning engineers to provide a comprehensive guide for managing dataset versions in a project that is supposed to run for a long time. Data Management at Scale. This section explores best practices that address these challenges.

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AWS Machine Learning Blog

FEBRUARY 5, 2024

According to health organizations such as the Centers for Disease Control and Prevention ( CDC ) and the World Health Organization ( WHO ), a spillover event at a wet market in Wuhan, China most likely caused the coronavirus disease 2019 (COVID-19).

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Kaggle

JULY 29, 2020

He previously co-founded and built Data Works into a 50+ person well-respected software services company. In August 2019, Data Works was acquired and Dave worked to ensure a successful transition. David: My technical background is in ETL, data extraction, data engineering and data analytics.

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