Knowledge Hut

MAY 3, 2024

Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. Spark can access diverse data sources and make sense of them all and hence it’s trending in the market over any other cluster computing software available.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Data Engineering Weekly

MARCH 3, 2024

Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup. There will be food, networking, and real-world talks around data engineering. 4) Building Data Products and why should you? Part 1: Why did we need to build our own SIEM?

Data Engineer 67

Data Engineer Data Engineering Engineering Pipeline-centric 67

Precisely

MARCH 27, 2023

Transforming Go-to-Market After years of acquiring and integrating smaller companies, a $37 billion multinational manufacturer of confectionery, pet food, and other food products was struggling with complex and largely disparate processes, systems, and data models that needed to be normalized.

Consulting 52

Consulting Food Pharmaceutical Data Lake 52

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons Hadoop can store close to 1 trillion files using enterprise class storage processing layer.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

Precisely

FEBRUARY 9, 2024

AWS Mainframe Modernization Data Replication with Precisely (for mainframe and IBM i systems) enables organizations to break down data silos and provide real-time access to these complex data sources on the AWS cloud, where it can be used for analytics, AI, DevOps initiatives, and new applications.

Data Integration 68

Data Integration Government Data Metadata 68

Monte Carlo

FEBRUARY 21, 2023

In this post, we’ll discuss what, exactly, a data fabric is, how other companies have used it, and how you can build one at your company. Table of Contents What is a data fabric? That’s a model worth looking at when it comes to data governance,” says Bob.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

In this post, we’ll discuss what, exactly, a data fabric is, how other companies have used it, and how you can build one at your company. Table of Contents What is a data fabric? That’s a model worth looking at when it comes to data governance,” says Bob.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

ProjectPro

JUNE 26, 2015

With data sharing between mobile and navigation devices becoming easier, TomTom will soon make the self-driving car happen by leveraging meaningful big data analytics. - 12, May 2015, TheInquirer These are just some of the unusual innovative bigger big data solutions. . “Watson amplifies human creativity.

Big Data 40

Big Data Food Unstructured Data Data Analytics 40

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. Those who don’t embrace it will be left behind. John agrees. “

Database-centric 52

Database-centric Pipeline-centric Metadata Unstructured Data 52

Knowledge Hut

MAY 31, 2023

A key part of building any successful job portal will be ensuring that candidates can easily navigate listings, filter results by criteria such as location or industry, and then quickly send their details to prospective employers. By following best practice guidelines, any developer can build a highly scalable and feature rich application.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

OCTOBER 26, 2023

You can learn how to build scalable and reliable applications, manage infrastructure using automation tools, and create efficient solutions that are cost-effective. With Amazon Lightsail, you would get all the important resources required to build a website for free. You can deploy a website (e.g., Source code: GitHub 2.

AWS 52

AWS Coding Project Cloud Computing 52

Knowledge Hut

MAY 2, 2024

Spark SQL features are used heavily in warehouses to build ETL pipelines. Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark.

Scala 52

Scala Hospitality Machine Learning Healthcare 52

ProjectPro

MAY 23, 2015

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

AltexSoft

DECEMBER 15, 2021

Now, a basic knowledge of statistics is enough to build and train ML models identifying people interested in LDLT services. The process of cooking the right food for your algorithm falls into two key steps. feature engineering or feature extraction when useful properties are drawn from raw data and transformed into a desired form, and.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

APRIL 27, 2015

there is not sufficient man power to keep track of all the streams of video, the government could use one of the many big data analytics solutions provided by big data start-ups. 1) Spotify Big Data Startup Success Stories With 60 million active users worldwide, close to 6 million paying customers, 20 million songs and approximately 1.5

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

ProjectPro

JANUARY 28, 2022

In industries, anomaly detection applications attached with machinery can help flag irregular or dangerous temperature levels or movement in parts or filter faulty materials (like filtering strange-looking food ingredients before they are processed and packed). More anomaly datasets can be accessed here: Outlier Detection DataSets (ODDS).

Machine Learning 52

Machine Learning Python Algorithm Datasets 52

ProjectPro

OCTOBER 18, 2021

To build such ML projects, you must know different approaches to cleaning raw data. For monitoring and visualizing analyzed stock price and stock market data, you can use Tableau. It contains all the attributes you need to build your stock price prediction system. Source: Moneyexcel 4. Text Processing b.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Snowflake

MAY 15, 2025

Our team worked closely with the Lions, Snowflake and AWS to design, build and support an industry-leading data and analytics platform, says Rousso. It allows the organization to easily and securely collaborate on and analyze its vast array of data.

Food 66

Food Entertainment Media AWS 66