Knowledge Hut

MAY 3, 2024

Spark Streaming Kafka Streams 1 Data received from live input data streams is Divided into Micro-batched for processing. processes per data stream(real real-time) 2 A separate processing Cluster is required No separate processing cluster is required. What is Stream Processing? Dataflow 4.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. Source Code: Finnhub API with Kafka for Real-Time Financial Market Data Pipeline 3.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Knowledge Hut

APRIL 23, 2024

Big Data Uses in Cloud Computing Scalable and Affordable Data Processing and Storage: Cloud computing has become a beloved trend because it allows companies to leverage data processing and analytic services beyond their capability.

Big Data 52

Big Data Recruitment Retail Transportation 52

phData: Data Engineering

AUGUST 4, 2023

The following statement lists all the files contained in the internal named stage: List @my_internal_stage; There are several scenarios where internal stages can be used, including: Data Staging: If you need to temporarily store data within Snowflake for processing or analysis, internal stages can be used as a staging area.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Knowledge Hut

NOVEMBER 28, 2023

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects. Technical Data Engineer Skills 1.Python

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

AltexSoft

AUGUST 29, 2023

Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion. Video explaining how data streaming works. After residing in the raw zone, data undergoes various transformations. This section is highly versatile, supporting both batch and stream processing.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Edureka

FEBRUARY 8, 2024

Different instance types offer varying levels of compute power, memory, and storage, which directly influence tasks such as data processing, application responsiveness, and overall system throughput. In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access.

AWS 52

AWS NoSQL Deep Learning Datasets 52