Knowledge Hut

APRIL 24, 2024

imread("fingerprint.jpg") fingerprint = extract_fingerprint(image) This project enables secure ATM transactions, reduces the risk of card skimming, and provides a convenient and user-friendly authentication method. cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, threshold(gray_image, 127, 255, cv2.THRESH_BINARY)

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Knowledge Hut

OCTOBER 27, 2023

imread("fingerprint.jpg") fingerprint = extract_fingerprint(image) This project enables secure ATM transactions, reduces the risk of card skimming, and provides a convenient and user-friendly authentication method. cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, findContours(thresh, cv2.RETR_TREE,

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Knowledge Hut

APRIL 25, 2023

Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

JULY 24, 2023

It is perfect for sectors like banking, finance, and healthcare that demand higher security and privacy since it offers a tamper-proof, unchangeable record of all transactions. In-memory Databases For applications that demand real-time data processing, in-memory databases are created.

Database 52

Database NoSQL Management Relational Database 52

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. They need to come up with ideas and put them into action.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 24, 2023

Furthermore, BigQuery supports machine learning and artificial intelligence, allowing users to use machine learning models to analyze their data. BigQuery Storage BigQuery leverages a columnar storage format to efficiently store and query large amounts of data. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Rockset

NOVEMBER 12, 2020

Elasticsearch is one tool to which reads can be offloaded, and, because both MongoDB and Elasticsearch are NoSQL in nature and offer similar document structure and data types, Elasticsearch can be a popular choice for this purpose. These backups can be performed on the file system or on cloud storage directly from the cluster.

MongoDB 40

MongoDB NoSQL Data Pipeline Data Storage 40