O'Reilly Media

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. A platform, clearly, but a platform for building data pipelines that’s qualitatively different from a platform like Ray, Spark, or Hadoop. Is Spark a tool or a platform? What about Kafka? Think about it.”

AI 145

AI AI Azure AWS 145

KDnuggets

NOVEMBER 17, 2021

Don’t Waste Time Building Your Data Science Network; 19 Data Science Project Ideas for Beginners; How I Redesigned over 100 ETL into ELT Data Pipelines; Anecdotes from 11 Role Models in Machine Learning; The Ultimate Guide To Different Word Embedding Techniques In NLP.

Data Science 149

Data Science ETL Data Pipeline Machine Learning 149

KDnuggets

NOVEMBER 17, 2021

Don’t Waste Time Building Your Data Science Network; 19 Data Science Project Ideas for Beginners; How I Redesigned over 100 ETL into ELT Data Pipelines; Anecdotes from 11 Role Models in Machine Learning; The Ultimate Guide To Different Word Embedding Techniques In NLP.

Data Science 124

Data Science ETL Data Pipeline Machine Learning 124

Heartbeat

NOVEMBER 6, 2023

Image Source —  Pixel Production Inc In the previous article, you were introduced to the intricacies of data pipelines, including the two major types of existing data pipelines. You might be curious how a simple tool like Apache Airflow can be powerful for managing complex data pipelines.

Data Pipeline 52

Data Pipeline Clean Data ETL Python 52

Flipboard

APRIL 13, 2023

Last fall, Truveta also unveiled Truveta Studio , an interface into real-time patient data. The Truveta data pipeline. The model works in sync with two other technology efforts at the company — assuring that information is private and anonymized; and standardizing the data, which is fragmented across multiple health systems.

AI 180

AI AI Data Pipeline Big Data 180

Tableau

MAY 19, 2021

May 19, 2021 - 3:54pm. May 19, 2021. Fortunately, a modern data stack (MDS) using Fivetran, Snowflake, and Tableau makes it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. What is a modern data stack? Jeff Huckaby. Kristin Adderson.

Tableau 91

Tableau Cloud Data Data Pipeline Analytics 91

IBM Journey to AI blog

FEBRUARY 26, 2024

Because lineage creates an environment where reports and data can be trusted, teams can make more informed decisions. Data lineage provides that reliability—and more. This blind spot became apparent in March of 2021 when CNA Financial was hit by a ransomware attack that caused widespread network disruption.

Data Pipeline 112

Data Pipeline Data Engineer Data Engineering Data Engineering 112

Tableau

OCTOBER 8, 2021

October 8, 2021 - 11:41pm. October 12, 2021. It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. However, most organizations struggle to become data driven. Francois Ajenstat. Chief Product Officer, Tableau. Spencer Czapiewski.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

Tableau

JUNE 8, 2021

June 8, 2021 - 8:20pm. June 11, 2021. In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. This inertia is stifling innovation and preventing data-driven decision-making to take root. .

Tableau 101

Tableau Data Lakes Data Warehouse SQL 101

IBM Data Science in Practice

MARCH 8, 2023

Feature Platforms The Rise of Feature Stores —  In 2021, the machine learning industry witnessed the emergence of feature stores , a solution that enables teams to store and share features. A feature platform should automatically process the data pipelines to calculate that feature. Spark, Flink, etc.)

Machine Learning 264

Machine Learning Machine Learning ML ML 264

ODSC - Open Data Science

DECEMBER 19, 2023

billion in 2021 to $331.2 Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. They use their knowledge of data warehousing, data lakes, and big data technologies to build and maintain data pipelines. billion by 2026.

Data Scientist 96

Data Scientist Machine Learning Machine Learning AI 96

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. Data pipeline maintenance.

Big Data 113

Big Data Big Data Data Engineer Data Engineering 113

Tableau

MAY 19, 2021

May 19, 2021 - 3:54pm. May 19, 2021. Fortunately, a modern data stack (MDS) using Fivetran, Snowflake, and Tableau makes it easier to pull data from new and various systems, combine it into a single source of truth, and derive fast, actionable insights. What is a modern data stack? Jeff Huckaby. Kristin Adderson.

Tableau 52

Tableau Cloud Data Data Pipeline Analytics 52

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. They are crucial in ensuring data is readily available for analysis and reporting.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Tableau

OCTOBER 8, 2021

October 8, 2021 - 11:41pm. October 12, 2021. It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. However, most organizations struggle to become data driven. Francois Ajenstat. Chief Product Officer, Tableau. Spencer Czapiewski.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

AWS Machine Learning Blog

MARCH 1, 2023

It was launched in June 2021 and has been ranked within the top three in revenue in Korea. Challenges In this section, we discuss challenges around various data sources, data drift caused by internal or external events, and solution reusability.

AWS 94

AWS ML ML ETL 94

ODSC - Open Data Science

FEBRUARY 24, 2023

Great Expectations provides support for different data backends such as flat file formats, SQL databases, Pandas dataframes and Sparks, and comes with built-in notification and data documentation functionality. You can watch it on demand here.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Alation

SEPTEMBER 28, 2022

Automated testing to ensure data quality. There are many inefficiencies that riddle a data pipeline and DataOps aims to deal with that. DataOps encourages better collaboration between data professionals and other IT roles. DataOps makes processes more efficient by automating as much of the data pipeline as possible.

DataOps 52

DataOps Data Pipeline Data Quality Analytics 52

Hacker News

JUNE 29, 2023

Harnessing that customer data and getting it to the marketing and analytics tools that require it has always been a challenge….until Freshpaint is a Customer Data Platform that powers the entire customer data pipeline and integrates all your tools. We started as part of Y Combinator’s S19 cohort.

Analytics 94

Analytics Analytics Data Pipeline Big Data 94

ODSC - Open Data Science

AUGUST 23, 2023

Ponder solves this problem by translating your pandas code to SQL that can be understood by your data warehouse. The effect is that you get to use your favorite pandas API, but your data pipelines run on one of the most battle-tested and heavily-optimized data infrastructures today — databases. Doris received her Ph.D.

Data Warehouse 52

Data Warehouse Data Science Database SQL 52

Tableau

JUNE 8, 2021

June 8, 2021 - 8:20pm. June 11, 2021. In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. This inertia is stifling innovation and preventing data-driven decision-making to take root. .

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

The MLOps Blog

MARCH 28, 2024

We’ll explore how factors like batch size, framework selection, and the design of your data pipeline can profoundly impact the efficient utilization of GPUs. We need a well-optimized data pipeline to achieve this goal. The pipeline involves several steps. What should be the GPU usage?

Deep Learning 52

Deep Learning Deep Learning Data Pipeline Machine Learning 52

phData

MAY 25, 2023

Having gone public in 2020 with the largest tech IPO in history, Snowflake continues to grow rapidly as organizations move to the cloud for their data warehousing needs. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode.

Power BI 84

Power BI Analytics Analytics Azure 84

Alation

SEPTEMBER 21, 2021

Despite the rise of importance in metadata to DataOps and data-driven decision making, in assuring the right data is being used at the right time, by the right resource, and for the right reason(s), organizations sometimes put metadata management software lower on their priority list.

DataOps 52

DataOps Data Governance Data Pipeline 52

Pickl AI

JULY 3, 2023

It frequently requires the use of specialised software and tools to aid in the gathering and analysis of data from many different places such as spreadsheets, tables of information, and enterprise systems. billion in 2021. Based on the report of Zion Research, the global market of Business Intelligence rose from $16.33

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Alation

MARCH 1, 2023

In 2021, global spending on blockchain amounted to $6.6 How are blockchain organizations tackling data management? To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them.

Data Governance 52

Data Governance Data Pipeline Database Analytics 52

Alation

JULY 7, 2022

Alation launched the Data Intelligence Project in the summer of 2021 to train the next generation of data leaders. With Alation, students learn the critical skills they need to curate, govern, and discover data assets in the data-driven enterprises of today. As such, it’s a natural learning environment.

Data Scientist 52

Data Scientist Data Analyst Analytics Analytics 52

Mlearning.ai

MARCH 15, 2023

I have checked the AWS S3 bucket and Snowflake tables for a couple of days and the Data pipeline is working as expected. The scope of this article is quite big, we will exercise the core steps of data science, let's get started… Project Layout Here are the high-level steps for this project.

Python 52

Python AWS Exploratory Data Analysis Machine Learning 52

The MLOps Blog

AUGUST 11, 2023

Internally within Netflix’s engineering team, Meson was built to manage, orchestrate, schedule, and execute workflows within ML/Data pipelines. Meson managed the lifecycle of ML pipelines, providing functionality such as recommendations and content analysis, and leveraged the Single Leader Architecture. 2021, July 15).

ML 52

ML ML Machine Learning Machine Learning 52

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. He joined AWS in March 2021 as a Principal Solutions Architect. The humble beginnings with Iris In 2017, SnapLogic unveiled Iris, an industry-first AI-powered integration assistant.

Database 158

Database AWS ETL SQL 158

AWS Machine Learning Blog

SEPTEMBER 18, 2024

As an early adopter of large language model (LLM) technology, Zeta released Email Subject Line Generation in 2021. It simplifies feature access for model training and inference, significantly reducing the time and complexity involved in managing data pipelines.

AWS 110

AWS Machine Learning Machine Learning ML 110

Alation

DECEMBER 23, 2021

The data-science elves were bogged down in automating sleigh-packing, the analysis was dragging, and Santa’s famous dashboards couldn’t be updated. And Santa was hoping to make 2021 his most data-driven year yet. Get the latest data cataloging news and trends in your inbox. And this is just the beginning.

Data Governance 59

Data Governance Data Pipeline Tableau Big Data 59

The MLOps Blog

DECEMBER 28, 2022

Team composition The team comprises data pipeline engineers, ML engineers, full-stack engineers, and data scientists. Industry Computer Software Team size They built a fairly new ML team in 2021 and have a team size of 5. Organization Anonymized and referred to by the pronoun ‘they’ in the below section.

ML 78

ML ML Data Scientist Machine Learning 78

The MLOps Blog

MARCH 21, 2023

Reasonable scale ML platform In 2021, Jacopo Tagliabue coined the term “reasonable scale,” which refers to companies that: Have ML models that generate hundreds of thousands to tens of millions of US dollars per year (rather than hundreds of millions or billions). Data engineers are mostly in charge of it.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Precisely

FEBRUARY 10, 2023

By automating the collection of intelligence about data, inferring relationships among various data entities, and detecting anomalies, AI automates many of the key elements of data integrity – including data observability, data quality, and data enrichment.

DataOps 52

DataOps Data Observability ML ML 52