AWS Machine Learning Blog

OCTOBER 24, 2024

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

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Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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phData

FEBRUARY 3, 2023

In this blog, we’re going to try our best to remove as much of the uncertainty as possible by walking through the interview process here at phData for Data Engineers. Whether you’re officially job hunting or just curious about what it’s like to interview and work at phData as a Data Engineer, this is the blog for you!

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Pickl AI

AUGUST 1, 2023

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

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Data Science Blog

NOVEMBER 15, 2023

Simple Data Model for a Process Mining Event Log As part of data engineering, the data traces that indicate process activities are brought into a log-like schema. van der Aalst 2019 and as a product feature term by Celonis in 2022 and is used extensively in marketing, this concept is far from new in its implementation.

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Data Science Dojo

JULY 3, 2024

Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops.

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Applied Data Science

AUGUST 2, 2021

Big Ideas What to look out for in 2022 1. Team Building the right data science team is complex. With a range of role types available, how do you find the perfect balance of Data Scientists , Data Engineers and Data Analysts to include in your team?

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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AWS Machine Learning Blog

JUNE 6, 2023

Currently, there are several ways to access features in the offline store, including running SQL queries with Amazon Athena or using Spark SQL in Apache Spark. However, these patterns require writing ad hoc (and sometimes complex) SQL statements, which isn’t always suitable for the data scientist persona.

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Data Science Dojo

OCTOBER 10, 2023

billion in 2022, and it is projected to reach approximately USD 2,575.16 Data Observability : It emphasizes the concept of data observability, which involves monitoring and managing data systems to ensure reliability and optimal performance. The global market for artificial intelligence (AI) was worth USD 454.12

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phData

FEBRUARY 9, 2023

phData had an amazing 2022 and we are looking forward to what additional value we can drive for our customers in 2023. phData is built on the foundation of bringing together software engineering principles with data. We’ve continued to iterate and focus on the Microsoft SQL to Snowflake translation.

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IBM Journey to AI blog

JUNE 8, 2023

Data is the lifeblood of successful organizations. Beyond the traditional data roles—data engineers, analysts, architects—decision-makers across an organization need flexible, self-service access to data-driven insights accelerated by artificial intelligence (AI).

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phData

APRIL 5, 2023

Toward the end of 2022, Snowflake was in use by nearly half of all Fortune 500 companies and it is expected that this proportion will continue to grow throughout the rest of the decade. To get the most out of the Snowflake Data Cloud , however, requires extensive knowledge of SQL and dedicated IT and data engineering teams.

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ODSC - Open Data Science

APRIL 3, 2023

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. Cloud Services: Google Cloud Platform, AWS, Azure.

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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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phData

MARCH 27, 2024

Whether you’re aiming for Snowflake certification, seeking to enhance your proficiency with the platform, exploring new data implementation strategies, or developing internal training programs, accessing quality training resources is critical for success in Snowflake. How Many Days Will It Take to Learn Snowflake?

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phData

FEBRUARY 10, 2023

This opens up a data engineer to create their transformation in Snowflake using python code instead of just SQL. A data scientist can create a model to do that classification, saving the analyst time. dbt is a tool to do transformations on data once it is loaded. What is Snowpark Python? Why use dbt?

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phData

JANUARY 31, 2024

Historically, Python was only supported via a connector, so making predictions on our energy data using an algorithm created in Python would require moving data out of our Snowflake environment. Snowflake Dynamic Tables are a new(ish) table type that enables building and managing data pipelines with simple SQL statements.

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phData

MAY 25, 2023

The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode. Both companies seem to recognize this “necessary evil” dynamic as they continue to be partners as of 2022. Similar to Query Parallelization, Microsoft introduced Horizontal Fusion in September of 2022.

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Alation

SEPTEMBER 7, 2021

According to Entrepreneur , Gartner predicts, “through 2022, only 20% of organizations investing in information governance will succeed in scaling governance for digital business.” This survey result shows that organizations need a method to help them implement Data Governance at scale. Two problems arise.

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Alation

JUNE 1, 2023

Every Data, Everywhere, All at Once with DIRECTV Who: Jack Purvis , senior director, chief data officer at DIRECTV, and Joe Conard , principal big data engineer at DIRECTV When: Tuesday, June 27, at 12:30 p.m. So we were thrilled to be recognized in 2022 as Snowflake’s Data Governance Partner of the Year.

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Pickl AI

JANUARY 16, 2024

Trends in Data Analytics career path Trends Key Information Market Size and Growth CAGR Big Data Analytics Dealing with vast datasets efficiently. Value in 2022 – $271.83 Cloud-based Data Analytics Utilising cloud platforms for scalable analysis. Value in 2022 – $18.10 billion In 2023 – $307.52

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Alation

JUNE 20, 2023

Will: The real challenge was the data of those existing brands: how do we connect to it, how does it work? Will: We originally targeted end-of-year 2022. Alation: And you likely had plenty of data even before the acquisition. By then I had converted that small Heights data dictionary to the Snowflake sources.

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DagsHub

AUGUST 23, 2024

When bad data is inputted, it inevitably leads to poor outcomes. A coding error impacted credit scoring In 2022, Equifax - a major credit bureau - reported inaccurate credit scores for millions of consumers. In 2022, the company ingested bad data from one of its major customers. quality) for your data.

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phData

FEBRUARY 14, 2023

However, this can only be used on a few specific sources: (Microsoft SQL Server, Oracle, DB2, and MySQL) Closing There are many third-party data ingestion tools out there to choose from, and it can be daunting to go through them all. If you need help with migrating to Snowflake, phData is happy to help!

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Alation

NOVEMBER 28, 2022

You founded Kloudio to address the spreadsheet problem, and Alation acquired Kloudio in February of 2022. But refreshing this analysis with the latest data was impossible… unless you were proficient in SQL or Python. I worked with financial analysts, data analysts, and business users. Tell me about that journey.

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The MLOps Blog

MARCH 21, 2023

” — Isaac Vidas , Shopify’s ML Platform Lead, at Ray Summit 2022 Monitoring Monitoring is an essential DevOps practice, and MLOps should be no different. It is very easy for a data scientist to use Python or R and create machine learning models without input from anyone else in the business operation. Model registry.

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