Knowledge Hut

JUNE 16, 2023

They then arrange the data in a suitable format that is simple to understand. Upkeep of databases: Data analysts contribute to the design and upkeep of database systems. Data preparation: Because of flaws, redundancy, missing numbers, and other issues, data gathered from numerous sources is always in a raw format.

Programming Language 52

Programming Language Data Science Data Analytics Cloud Computing 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc. The rest of the exam details are the same as the DP-900 exam.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

APRIL 19, 2023

It supports multiple data sources and streams and can automatically generate ETL code based on user-defined schemas. Google Cloud Dataflow: A fully managed ETL service provided by Google Cloud. It supports batch and real-time data integration and can work with different data sources and symbols.

Data Warehouse 52

Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

ProjectPro

MAY 18, 2016

Verizon- Offers Cloudera distribution on top of its cloud infrastructure. IBM BigInsights- Provides Hadoop-as-a-Service on its global cloud infrastructure IBM Soft Layer Google Cloud Storage Connector for Hadoop- Run MapReduce jobs directly on the data stored in Google cloud.

Hadoop 40

Hadoop Big Data Google Cloud Cloud Computing 40

AltexSoft

DECEMBER 15, 2021

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

AUGUST 24, 2021

Source Code: Event Data Analysis using AWS ELK Stack 5) Data Ingestion This project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP). Create a service account on GCP and download Google Cloud SDK(Software developer kit).

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Databand.ai

NOVEMBER 30, 2022

For example, maybe an organization has a version of Apache Airflow that’s behind their own firewall, but they want to move to Google Cloud Composer or they want to use more of a managed service on Airflow. Databand can help make sure that as teams move these different workloads to the cloud, they can monitor each one.

Government 52

Government Data Governance Architecture Google Cloud 52

Knowledge Hut

MARCH 28, 2024

Strong understanding of cloud computing principles, data warehousing concepts, and best practices. Role Level: Intermediate Responsibilities Develop machine learning pipelines using Azure Machine Learning service.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Knowledge Hut

NOVEMBER 19, 2023

Algorithms, data preparation and model evaluations. Demand for big data skills, including working with huge volumes of data, is also very high. This includes knowledge of Cloud computing in general, and especially AWS, Azure, or Google Cloud, to ensure the scalability of AI’s solutions.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

AltexSoft

JULY 23, 2022

Foxconn, manufacturing electronic products for such giants as Apple, Nintendo, Nokia, Sony, and others, successfully adopted Google Cloud Visual Inspection AI for quality control on its factories. This machine learning program launched by Google in 2021 helps manufacturers inspect product defects, and, eventually, decrease costs of QA.

Manufacturing 52

Manufacturing Technology Machine Learning Transportation 52

ProjectPro

NOVEMBER 15, 2021

20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects. Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 31, 2022

Traditional data preparation platforms, including Apache Spark, are unnecessarily complex and inefficient, resulting in fragile and costly data pipelines. Snowflake meets its users where they are most at ease, reducing the need to transfer data over the internet from their cloud environment to Snowflake.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

JULY 17, 2021

Data Science is integral to the job responsibilities assigned to an AI Engineer. The job of an AI Engineer comes with many responsibilities, including data preparation , AI programming, algorithm design, data analytics, and a lot more. Google Cloud also sells several AI and Machine Learning services to the business.

Engineering 40

Engineering Machine Learning Data Science Algorithm 40

Edureka

FEBRUARY 12, 2025

Data Preparation The quality of your model relies a lot on the quality of the data. You need a set of data that fits your job, like images if you are creating images. Deploying the Model Cloud Deployment : If you want to scale the model for production use, deploy the model on a cloud platform.

Datasets 40

Datasets Python Deep Learning Google Cloud 40

ProjectPro

MAY 31, 2021

There are open data platforms in several regions (like data.gov in the U.S.). These open data sets are a fantastic resource if you're working on a personal project for fun. Data Preparation and Cleaning The data preparation step, which may consume up to 80% of the time allocated to any big data or data engineering project, comes next.

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

JANUARY 15, 2021

2) Google Cloud and YouTube 8M Dataset A dataset developed by the Google AI/Research in 2016 with 8 million YouTube videos (a total of 500K hours) and 4.8K ( an average of 3.4 We host 50+ data science and machine learning projects that help data specialists to easily deploy and manage machine learning models in production.

Machine Learning 40

Machine Learning Datasets Retail Banking 40