Knowledge Hut

DECEMBER 27, 2023

Many industries, such as medicine, business, technology, defense, aerospace, marketing, and manufacturing, need a team of software developers to ensure their businesses' maximum performance and introduce innovative software and technologies. They make sure that all enterprise applications run smoothly at any cost.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Knowledge Hut

JUNE 20, 2023

In this blog post, we will introduce you to 10 current database research topic ideas that are likely to be at the forefront of the field in 2023. From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research.

Database 52

Database Java Education Data Collection 52

RandomTrees

JANUARY 29, 2024

However, the efficacy of computer vision systems dances on the fine line of data quality and quantity. Traditionally, the quest for labeled data involves the meticulous task of human annotation, a process both labor-intensive and financially demanding. What Is Synthetic Data?

Medical 52

Medical Retail Entertainment Datasets 52

Knowledge Hut

MARCH 22, 2024

In this blog, I will explain all the fundamentals of Azure IoT and how it offers various solutions to cater to businesses worldwide. It also allows organizations to leverage data collected from IoT devices, converting IoT data into actionable information. What is Azure IoT (Internet of Things)?

Cloud Computing 52

Cloud Computing Utilities Cloud Transportation 52

DataKitchen

MARCH 16, 2023

Other data leaders have tried to adapt the IT/software incident metrics world to the data world. IT incident metrics are used to evaluate the reliability and efficiency of a system or process. MTBF (Mean Time Between Failures) is the average time between system or process failures. Data systems require trust.

Data Analytics 52

Data Analytics Manufacturing Data Process 52

Knowledge Hut

NOVEMBER 15, 2023

Example 4: To utilize my background in mechanical engineering to improve the efficiency of manufacturing processes for a leading automotive company. Example 7: To use my skills in industrial engineering to streamline operations and improve the bottom line for a manufacturing company. and Drupal. Example 7: A qualified Q.A.

Finance 98

Finance Business Intelligence Database-centric Certification 98

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

Data Pipeline 120

Data Pipeline Building Manufacturing Data Warehouse 120

Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

Data Pipeline 97

Data Pipeline Building Kafka Java 97

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. He currently works at Cloudera, managing their Data-in-Motion product line.

Data Ingestion 74

Data Ingestion Retail Kafka Data Lake 74

Netflix Tech

JULY 21, 2022

Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. It also prevents the system running out of memory during execution of the query. Labeling the data?

Machine Learning 71

Machine Learning Datasets Big Data Data Pipeline 71

ProjectPro

NOVEMBER 18, 2021

The supply chain management system determines the optimum fulfillment center based on distance and inventory levels for every order. This Bin Packing problem is a classic NP-Hard problem familiar to data scientists. This Bin Packing problem is a classic NP-Hard problem familiar to data scientists.

Data Science 52

Data Science Project Food Pharmaceutical 52

U-Next

MARCH 15, 2023

Introduction Every industry is undergoing a technological revolution, and manufacturing is no exception. Additionally, made-to-order is the new standard in manufacturing, which itself is changing. Less inventory is needed, and a more real-time operating environment are requirements of just-in-time, lean manufacturing.

Management 52

Management Manufacturing Machine Learning Electronics 52

ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. AutoKeras is the AutoML system that is based on Keras.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

DoorDash Engineering

APRIL 23, 2024

Table 1: Classifying item name tokens to product attributes Building an attribute extraction model Building an in-house attribute extraction/tagging model from scratch requires a significant amount of labeled training data to reach the desired accuracy. This is often known as the cold-start problem of natural language processing , or NLP.

Building 91

Building Retail Manufacturing Unstructured Data 91

DataKitchen

JUNE 24, 2021

Using Kurt’s analogy, those processes and practices are really meant to build an application, so the piece of furniture is an application or software, whereas data becomes a component of that, a leg or a bolt, or something that’s within that software application. GE formed its Digital League to create a data culture.

Pipeline-centric 84

Pipeline-centric Manufacturing Education Data Cleanse 84

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Knowledge Hut

FEBRUARY 28, 2024

There is no telling what the future of big data technology holds. Ironically, there is a plethora of information out there, and it can be hard to filter through and understand the potential of Big Data online. What is Big Data? Big data refers to large amounts of data. You will need to delegate tasks.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52