Knowledge Hut

APRIL 25, 2023

Power BI Power BI is a cloud-based business analytics service that allows data engineers to visualize and analyze data from different sources. It provides a suite of tools for data preparation, modeling, and visualization, as well as collaboration and sharing.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

AltexSoft

MAY 14, 2021

A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. billion data points. The Ginger.io

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

JANUARY 30, 2024

Whether it's aggregating customer interactions, analyzing historical sales trends, or processing real-time sensor data, data extraction initiates the process. Goal To extract and transform data from its raw form into a structured format for analysis. Primary Focus Structuring and preparing data for further analysis.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

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. Data analysts ensure that the data gathered from various sources is pertinent to the company's operations.

Programming Language 52

Programming Language Data Analytics Data Science Cloud Computing 52

AltexSoft

AUGUST 22, 2022

Remember that a data fabric is NOT a single software tool you can buy and deploy overnight. It is a general design approach that leverages data virtualization principles. A data fabric supports structured, unstructured, and semi-structured data whether it comes in real-time or generated in batches.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

ProjectPro

JANUARY 31, 2022

Snowflake Features that Make Data Science Easier Here are three Snowflake attributes that make running successful data science projects easier for businesses- 1. Centralized Source of Data When training machine learning models, data scientists must consider a wide range of data.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Edureka

AUGUST 27, 2024

AWS Quicksight can pull data from multiple sources, such as individual databases, data warehouses, and SaaS sources, unlike other BI tools. It supports numerous file formats, including semi-structured JSON format. It means you can gather structured and semi-structured data from any source to derive business intelligence.

BI 52

BI Business Intelligence AWS Amazon Web Services 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

Edureka

FEBRUARY 7, 2023

By defining additional ML (Machine Learning) functions, it enables developers to expand the capabilities of the query language. The main advantage of Azure Files over Azure Blobs is that it allows for folder-based data organisation and is SMB compliant, allowing for use as a file share. 15) What is Azure table storage, exactly?

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

ProjectPro

JANUARY 31, 2023

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. They may also lead to misleading a machine learning or big data model.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

APRIL 27, 2016

Pig Hadoop dominates the big data infrastructure at Yahoo as 60% of the processing happens through Apache Pig Scripts. Today, Hive is used at Facebook to store more than 2 petabytes of uncompressed data and regularly loads more than 15 terabytes of data daily.

Hadoop 40

Hadoop Big Data Technology Kafka 40

Rockset

MARCH 31, 2021

Ritual uses cloud data warehouse Snowflake for ad-hoc analysis, periodic reporting and machine learning model creation. Rockset is a real-time indexing database that delivers millisecond-latency search, aggregations and joins on terabytes of semi-structured data.

Food 40

Food Data Science SQL Data Warehouse 40

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. Machine Learning web service to host forecasting code.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

NOVEMBER 15, 2021

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. This features a familiar DataFrame API that connects with various machine learning algorithms to accelerate end-to-end pipelines without incurring the usual serialization overhead.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

MAY 20, 2015

It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

ProjectPro

DECEMBER 10, 2021

Azure Table Storage- Azure Tables is a NoSQL database for storing structured data without a schema. It lets you store organized NoSQL data in the cloud and provides a schemaless key/attribute storage. Huge quantities of structured data are stored in the Windows Azure Table storage service.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. There are open data platforms in several regions (like data.gov in the U.S.).

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Machine Learning 64

Edureka

JULY 4, 2024

It’s a Swiss Army knife for data pros, merging data integration, warehousing, and big data analytics into one sleek package. In other words, Synapse lets users ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Data Lake 40

Data Lake Pipeline-centric Data Warehouse ETL Tools 40