AltexSoft

JULY 29, 2022

It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. Oracle Big Data Service , offering customers a fully-managed Hadoop environment in the cloud. In September 2021 Snowflake announced the public preview of the unstructured data management functionality.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

JUNE 16, 2023

Data preparation: Because of flaws, redundancy, missing numbers, and other issues, data gathered from numerous sources is always in a raw format. After the data has been extracted, data analysts must transform the unstructured data into structured data by fixing data errors, removing unnecessary data, and identifying potential data.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Rockset

JULY 29, 2022

This fast, serverless, highly scalable, and cost-effective multi-cloud data warehouse has built-in machine learning, business intelligence, and geospatial analysis capabilities for querying massive amounts of structured and semi-structured data. So, it’s not real-time data. Pricing starts at $0.25

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

Knowledge Hut

MARCH 27, 2024

Qubole Using ad-hoc analysis in machine learning, it fetches data from a value chain using open-source technology for big data analytics. Qubole provides end-to-end services in moving data pipelines with reduced time and effort. Configure Azure, AWS, and Google Cloud services simultaneously.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

MAY 31, 2021

This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow. MLOps on GCP Project for Autoregression using uWSGI Flask Here is a project that combines Machine Learning Operations (MLOps) and Google Cloud Platform (GCP).

Big Data 52

Big Data Coding Project Hadoop 52

Ascend.io

AUGUST 31, 2023

For example, unlike traditional platforms with set schemas, data lakes adapt to frequently changing data structures at points where the data is loaded , accessed, and used. Once in place, any transformations on the data are performed directly in the data lake on demand as different analytical tasks come up.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. In essence, if you aim to discern a text’s who , where , what , and when , NER is the technique to help.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Monte Carlo

JANUARY 25, 2023

Image courtesy of Databricks Data warehouse A data warehouse provides data storage and compute for structured data that’s been processed for a defined purpose. Data lake On the other side of the storage and compute coin, a data lake is all about flexibility.

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

AltexSoft

DECEMBER 15, 2021

The technology supports tabular, image, text, and video data, and also comes with an easy-to-use drag-and-drop tool to engage people without ML expertise. For data scientist, it has an integrated Jupyter Notebook environment. Source: Google Cloud Blog. Why and when do you critically need data scientists?

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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 Government Data Science 52