Data Science Connect

JANUARY 27, 2023

Data engineering is a crucial field that plays a vital role in the data pipeline of any organization. It is the process of collecting, storing, managing, and analyzing large amounts of data, and data engineers are responsible for designing and implementing the systems and infrastructure that make this possible.

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Data Science Blog

SEPTEMBER 19, 2023

So why using IaC for Cloud Data Infrastructures? For Data Warehouse Systems that often require powerful (and expensive) computing resources, this level of control can translate into significant cost savings. The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database.

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Data Warehouse Azure SQL Database 259

AWS Machine Learning Blog

FEBRUARY 21, 2025

Communication between the two systems was established through Kerberized Apache Livy (HTTPS) connections over AWS PrivateLink. Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks. HBase is employed to offer real-time key-based access to data.

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Data Science AWS Hadoop Data Scientist 70

AWS Machine Learning Blog

NOVEMBER 20, 2024

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. Complete the following steps: Choose an AWS Region Amazon Q supports (for this post, we use the us-east-1 Region). aligned identity provider (IdP).

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Database AWS SQL ETL 111

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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AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. The following diagram illustrates the solution architecture.

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AWS Machine Learning Blog

JUNE 20, 2024

The data is stored in a data lake and retrieved by SQL using Amazon Athena. The following figure shows a search query that was translated to SQL and run. Data is normally stored in databases, and can be queried using the most common query language, SQL. The challenge is to assure quality.

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SQL Database AWS Machine Learning 104

Flipboard

DECEMBER 11, 2024

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services.

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SQL AWS Data Lakes AI 158

Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

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Computer Science Computer Science ML ML 152

IBM Journey to AI blog

MARCH 14, 2024

The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. Let’s delve into the database portfolio from IBM available on AWS. 

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Smart Data Collective

FEBRUARY 23, 2022

As the demand for the data solutions increased, cloud companies like AWS also jumped in and began providing managed data lake solutions with AWS Athena and S3. AWS Athena and S3. AWS Athena and S3 are separate services. AWS Athena and S3 are separate services. Athena is serverless and managed by AWS.

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Data Lakes AWS SQL Big Data 124

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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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. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Central data models in a cloud-based Data Mesh Architecture (e.g.

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Data Modeling Data Models Business Intelligence Business Intelligence 245

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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Data Engineering Data Engineering Data Engineer Data Engineering 52

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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Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

JULY 26, 2023

We’re proud to share some exciting news with our friends at AWS! phData has been officially recognized with the AWS MAP (Migration Acceleration Program) Competency! This accomplishment showcases our ability to successfully transition our clients’ data and analytics platforms to AWS and the modern data stack.

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phData

JULY 26, 2023

We’re proud to share some exciting news with our friends at AWS! phData has been officially recognized with the AWS MAP (Migration Acceleration Program) Competency! This accomplishment showcases our ability to successfully transition our clients’ data and analytics platforms to AWS and the modern data stack.

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AWS SQL Data Visualization Machine Learning 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

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Data Engineering Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

JUNE 5, 2023

To simplify access to Parquet files, Amazon SageMaker Canvas has added data import capabilities from over 40 data sources , including Amazon Athena , which supports Apache Parquet. Canvas provides connectors to AWS data sources such as Amazon Simple Storage Service (Amazon S3), Athena, and Amazon Redshift. Choose Grant.

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Machine Learning Machine Learning AWS Data Lakes 86

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

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Data Engineering Data Engineering Data Engineer Data Engineering 52

Data Science Blog

MAY 15, 2023

Data Warehousing ist seit den 1980er Jahren die wichtigste Lösung für die Speicherung und Verarbeitung von Daten für Business Intelligence und Analysen. Mit der zunehmenden Datenmenge und -vielfalt wurde die Verwaltung von Data Warehouses jedoch immer schwieriger und teurer. So basieren z.

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Data Warehouse Data Lakes Azure AWS 147

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

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Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

DECEMBER 29, 2022

Many of the RStudio on SageMaker users are also users of Amazon Redshift , a fully managed, petabyte-scale, massively parallel data warehouse for data storage and analytical workloads. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

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AWS Machine Learning Blog

JUNE 17, 2024

Being one of the largest AWS customers, Twilio engages with data and artificial intelligence and machine learning (AI/ML) services to run their daily workloads. Twilio needed to implement an MLOps pipeline that queried data from PrestoDB. All pipeline parameters used in this solution exist in a single config.yml file.

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ML ML AWS Machine Learning 119

ODSC - Open Data Science

FEBRUARY 2, 2023

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

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Data Science Data Scientist Computer Science Computer Science 98

AWS Machine Learning Blog

OCTOBER 9, 2024

The service, which was launched in March 2021, predates several popular AWS offerings that have anomaly detection, such as Amazon OpenSearch , Amazon CloudWatch , AWS Glue Data Quality , Amazon Redshift ML , and Amazon QuickSight. To capture unanticipated, less obvious data patterns, you can enable anomaly detection.

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AWS ML ML Data Quality 86

Snorkel AI

MAY 1, 2024

phData, an Advanced AWS Consulting Partner and Elite Snowflake Consulting Partner (plus 2x partner of the year!), provides expert end-to-end services for machine learning and data analytics. phData Senior ML Engineer Ryan Gooch recently evaluated options to accelerate ML model deployment with Snorkel Flow and AWS SageMaker.

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Snorkel AI

MAY 1, 2024

phData, an Advanced AWS Consulting Partner and Elite Snowflake Consulting Partner (plus 2x partner of the year!), provides expert end-to-end services for machine learning and data analytics. phData Senior ML Engineer Ryan Gooch recently evaluated options to accelerate ML model deployment with Snorkel Flow and AWS SageMaker.

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AWS Machine Learning Machine Learning AI 52

phData

FEBRUARY 9, 2023

Welcome to our AWS Redshift to the Snowflake Data Cloud migration blog! In this blog, we’ll walk you through the process of migrating your data from AWS Redshift to the Snowflake Data Cloud. As an experienced data engineering consulting company, phData has helped with numerous migrations to Snowflake.

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AWS Machine Learning Blog

OCTOBER 3, 2024

Steamlining model management and deployment with SageMaker Amazon SageMaker is a managed machine learning platform that provides data scientists and data engineers familiar concepts and tools to build, train, deploy, govern , and manage the infrastructure needed to have highly available and scalable model inference endpoints.

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Data Science AWS Machine Learning Machine Learning 89

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Techniques such as data cleansing, aggregation, and trend analysis play a critical role in ensuring data quality and relevance. Data Scientists rely on technical proficiency.

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Data Science Analytics Analytics Data Scientist 52

AWS Machine Learning Blog

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. For SageMaker Studio notebooks and AWS Glue Interactive Sessions, you can set up the Spark event log location directly from the notebook by using the sparkmagic kernel.

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ODSC - Open Data Science

AUGUST 9, 2023

Be sure to check out his talk, “ Build Classification and Regression Models with Spark on AWS ,” there! In the unceasingly dynamic arena of data science, discerning and applying the right instruments can significantly shape the outcomes of your machine learning initiatives. A cordial greeting to all data science enthusiasts!

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Machine Learning Machine Learning AWS Big Data 52

AWS Machine Learning Blog

APRIL 19, 2023

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store. Nov-01,22:01:00 1 74.99 …9843 99.50

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ML ML Apache Kafka SQL 90

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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Machine Learning Machine Learning Python SQL 91

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

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Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya. If all of these describe you, then this Blogathon announcement is for you!

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