U-Next

MARCH 1, 2023

Being a hybrid role, Data Engineer requires technical as well as business skills. They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems. What is AWS Kinesis?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. You should have the expertise to collect data, conduct research, create models, and identify patterns.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

NOVEMBER 23, 2021

Nowadays, all organizations need real-time data to make instant business decisions and bring value to their customers faster. But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. No support for batch data. Connection layer.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

DECEMBER 28, 2023

. "Once the business data have been centralized and integrated, the value of the database is greater than the sum of the preexisting parts." Working with databases is essential for developers, regardless of their field. Knowing the technical aspects is crucial for website developers and big data professionals.

Database 52

Database MySQL SQL Relational Database 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

U-Next

AUGUST 3, 2022

Up until 2010, it was extremely difficult for companies to store data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. And Data Science has a significant impact here. What is a Data Scientist?

Retail 52

Retail Data Science Computer Science Entertainment 52