phData: Data Engineering

APRIL 4, 2023

Today we want to introduce Fivetran’s support for Amazon S3 with Apache Iceberg, investigate some of the implications of this feature, and learn how it fits into the modern data architecture as a whole. Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Knowledge Hut

MARCH 26, 2024

This provides opportunities for diverse and challenging projects, even for entry-level AWS solutions architect jobs. Check out the AWS Solution Architect Associate certification cost before applying. Proficiency in relevant technologies, frameworks, and architectural patterns.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Knowledge Hut

DECEMBER 26, 2023

Data Engineer Bootcamp : The Data Engineer Bootcamp course is designed to give students the skills and knowledge they need to become successful data engineers. The course covers the basics of data engineering, including data architecture, data modeling, and data management.

Certification 95

Certification Java Google Cloud Education 95

Snowflake

AUGUST 10, 2023

With major clients including Spotify, Puma, Five Guys, and Icelandair, Bynder uses large amounts of data to provide dashboards and open APIs to its customers, as well as vital operational insights to internal users. But when the company started to experience rapid growth, it noticed performance issues with its data architecture. “

Cloud 52

Cloud Building Amazon Web Services BI 52

U-Next

AUGUST 17, 2022

This language provides a solid basis for big data processing and is effective, flexible, and ideal for text analytics. Amazon Web Services (AWS) – Most programmers utilize the well-known cloud computing platform AWS to increase their flexibility, originality, and scalability.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

NOVEMBER 19, 2023

Developing cloud skills and earning the appropriate Amazon Web Services (AWS) certification can help open the door to some life-changing professional opportunities, whether we are trying to further our careers or enter a new industry. With this, we ought to be able to effectively utilize any AWS feature or service.

AWS 52

AWS Amazon Web Services Computer Science Certification 52

ProjectPro

JANUARY 31, 2022

Snowflake Features that Make Data Science Easier Building Data Applications with Snowflake Data Warehouse Snowflake Data Warehouse Architecture How Does Snowflake Store Data Internally? Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

AltexSoft

AUGUST 29, 2023

Also, data lakes support ELT (Extract, Load, Transform) processes, in which transformation can happen after the data is loaded in a centralized store. A data lakehouse may be an option if you want the best of both worlds. Real-time ingestion immediately brings data into the data lake as it is generated.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Kafka can be deployed as a managed service via Confluent Cloud or AWS Managed Streaming for Kafka (MSK).

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Edureka

FEBRUARY 9, 2023

It helps in the design of efficient, scalable and maintainable databases, data warehouses, and data marts. Data modeling is critical for ensuring data accuracy, consistency, and security and is used to make informed decisions about the data architecture and management of an organization.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MARCH 26, 2024

Data Analysis and Modelling: Enterprise Architects must be proficient in various data analysis and modeling techniques, such as statistics, machine learning, artificial intelligence, and data visualization. It confirms a person's proficiency in crafting distributed systems and applications on the AWS platform.

Business Analyst 52

Business Analyst Certification Portfolio Amazon Web Services 52

Monte Carlo

JUNE 14, 2023

At the moment, this tight integration is possible because most zero-ETL architectures require both the transactional database and data warehouse to be from the same cloud provider. Some examples include AWS ( Aurora to Redshift ), GCP ( BigTable to BigQuery ) and Snowflake ( Unistore ). Now Go Build Some Data Pipelines!

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. Your organization will use internal and external sources to port the data.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

FEBRUARY 7, 2023

Data Science on AWS Amazon Web Services (AWS) provides a dizzying array of cloud services, from the well-known Elastic Compute Cloud (EC2) and Simple Storage Service (S3) to platform as a service (PaaS) offering covering almost every aspect of modern computing.

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

Knowledge Hut

APRIL 20, 2023

Data ownership and accountability: It involves defining roles and responsibilities for managing data and ensuring that data ownership and accountability are clearly established. This may involve assigning data stewards and data custodians and implementing data governance committees.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

phData: Data Engineering

JULY 18, 2023

The goal of these modifications is to better leverage the capabilities and benefits of the new environment while optimizing the new data warehouse for improved performance, scalability, and cost-effectiveness. The Solution phData recognized the imperative to enhance both the technical and people aspects of the data platform.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

MAY 31, 2021

Learnings from the Project: This project will introduce you to various applications of AWS services. Tech Stack: Language: Python Libraries: Flask, gunicorn, scipy, nltk, tqdm, numpy, joblib, pandas, scikit_learn, boto3 Services: Flask, Docker, AWS, Gunicorn Source Code: MLOps AWS Project on Topic Modeling using Gunicorn Flask 24.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

OCTOBER 20, 2021

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

ProjectPro

APRIL 20, 2017

Having multiple hadoop projects on your resume will help employers substantiate that you can learn any new big data skills and apply them to real life challenging problems instead of just listing a pile of hadoop certifications. Extracting data from APIs using Python. Uploading the data on HDFS. PREVIOUS NEXT <

Hadoop 40

Hadoop Big Data Coding Project 40

Monte Carlo

JANUARY 22, 2025

With millions of stakeholders in a highly regulated industry and data products feeding a web of international financial services, trustworthy data isnt just a nice-to-have its an essential component of Nasdaqs business value. For us, thats where data observability platform Monte Carlo comes in.

Amazon Web Services 52

Amazon Web Services Data Lake AWS Data 52