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 Engineering 98

Data Engineering Data Engineer Coding Project 98

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.

Big Data 52

Big Data Data Process Process Hadoop 52

Striim

NOVEMBER 8, 2023

A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time.

Architecture 52

Architecture Generalist Government Datasets 52

Monte Carlo

MAY 14, 2024

It was designed to support high-volume data exchange and compatibility across different system versions, which is essential for streaming architectures such as Apache Kafka. Apache ORC (Optimized Row Columnar) : In 2013, ORC was developed for the Hadoop ecosystem to improve the efficiency of data storage and retrieval.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

A simple event log is therefore a simple table with the minimum requirement of a process number (case ID), a time stamp and an activity description. Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table.

Architecture 52

Architecture Database-centric Process BI 52

Cloudera

NOVEMBER 2, 2020

An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. In addition to understanding the attributes of an RTDW, it is useful to look at the types of applications that can be built within the RTDW category.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Data Processing: This is the final step in deploying a big data model. How to avoid the same.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and. Kafka vs ETL.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

SEPTEMBER 6, 2021

Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. It is a serverless data integration service that makes data preparation easier, cheaper and faster.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Convergence of batch and streaming made easy.

Kafka 88

Kafka Manufacturing Data Lake SQL 88

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. The datasets must be gathered based on these factors to find patterns.

Big Data 52

Big Data Coding Project Hadoop 52

Cloudera

MAY 30, 2024

By leveraging the flexibility of a data lake and the structured querying capabilities of a data warehouse, an open data lakehouse accommodates raw and processed data of various types, formats, and velocities.

Data Lake 74

Data Lake Data Warehouse Programming Language Data Ingestion 74

phData: Data Engineering

JULY 18, 2023

Central Source of Truth for Analytics A Cloud Data Warehouse (CDW) is a type of database that provides analytical data processing and storage capabilities within a cloud-based infrastructure. Enter Snowflake The Snowflake Data Cloud is one of the most popular and powerful CDW providers.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

U-Next

AUGUST 11, 2022

The next solution for self-service data analysis from Qlik is called Qlik Sense. It provides analytics features for different types of accounts, such as associated research and navigation, clever visualization, data preprocessing, and much more, making it one of the top BI tools. Zoho Analytics.

Business Intelligence 40

Business Intelligence BI Unstructured Data Programming 40