ProjectPro

JANUARY 25, 2022

PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. RDD uses a key to partition data into smaller chunks.

Big Data 52

Big Data Data Process Process Kafka 52

Picnic Engineering

OCTOBER 31, 2023

Installations and app instrumentation While installing the Datadog agent on a Kubernetes cluster using their official Helm chart is a straightforward process, configuring application pods can appear rather complex. The capability to aggregate data in one place, combined with a wide range of integrations, simplifies data collection and access.

Java 52

Java Aggregated Data Coding Python 52

Databand.ai

JULY 10, 2023

Data analysis: Processing and studying the collected data to recognize patterns, trends, and irregularities that can aid in diagnosing issues or boosting performance. Security: Observability platforms often include built-in security features to ensure the integrity and confidentiality of your data.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Data Engineering 52

AltexSoft

SEPTEMBER 21, 2023

It interacts through comprehensive REST APIs , processing and returning results in JSON format. ESRE enables advanced relevance ranking, natural language processing (NLP), and the ability to work with large language models (LLMs) like OpenAI’s GPT-3 and GPT-4. Analysis of logs, metrics, and security events.

Engineering 52

Engineering NoSQL Programming Language Java 52

phData: Data Engineering

JANUARY 3, 2022

The best option will vary depending on whether your data is structured or unstructured (or even semi-structured), normalized or denormalized, and whether you need data in a row or columnar data format. Is your data key/value-based? Are there complex relationships between the data? Data must also be performant.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 28, 2016

Apache Kafka is breaking barriers and eliminating the slow batch processing method that is used by Hadoop. Expensive licenses, inability to read data from different sources, issues with real time processing and operating in a distributed environment - are some of the common problems businesses face while handling Big Data.

Kafka 40

Kafka Systems Hadoop BI 40

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

OCTOBER 29, 2021

Real-world databases are often incredibly noisy, brimming with missing and inconsistent data and other issues that are often amplified by their enormous size and heterogeneous sources of origin caused by what seems to be an unending pursuit to amass more data.

Data Mining 52

Data Mining Datasets Machine Learning Metadata 52