ProjectPro

NOVEMBER 22, 2021

StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. PySpark imports the StructType class from pyspark.sql.types to describe the DataFrame's structure. The uName and the event timestamp are then combined to make a tuple. appName('ProjectPro').getOrCreate()

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

NOVEMBER 15, 2021

It serves as a distributed processing engine for both categories of data streams: unbounded and bounded. Support for stream and batch processing, comprehensive state management, event-time processing semantics, and consistency guarantee for the state are just a few of Flink's capabilities. CMAK is developed to help the Kafka community.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

JUNE 7, 2021

HDFS master-slave structure. A HDFS Master Node, called a NameNode , keeps metadata with critical information about system files (like their names, locations, number of data blocks in the file, etc.) and keeps track of storage capacity, a volume of data being transferred, etc. Data management and monitoring options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

AltexSoft

SEPTEMBER 23, 2021

The result of experimentation supplies downstream applications with prepared data. A data hub serves as a gateway to dispense the required data. So the use of unstructured or semi-structured data is also available in a data hub, since a data lake can be a part of it.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Snowflake

MARCH 30, 2023

Snowpipe micro-batch into Snowflake: Either triggered through a cloud service provider’s messaging service (such as AWS SQS , Azure Event notification , or Google Pub/Sub ) or making calls to Snowpipe ’s REST API endpoints. Use Snowflake’s native Kafka Connector to configure Kafka topics into Snowflake tables. Enter Snowpark !

Engineering 82

Engineering Raw Data Data Science Scala 82

Monte Carlo

JUNE 14, 2023

Airbyte – An open source platform that easily allows you to sync data from applications. Data streaming ingestion solutions include: Apache Kafka – Confluent is the vendor that supports Kafka, the open source event streaming platform to handle streaming analytics and data ingestion.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

AltexSoft

JULY 19, 2022

So, to avoid any confusion, please be aware that data mesh is NOT. a data fabric, which is a single environment consisting of a unified architecture, and services or technologies running on that architecture. Data as a product. ” Data as a product principle.

Architecture 52

Architecture Data Lake Medical Datasets 52

AltexSoft

OCTOBER 8, 2021

Considered to be a leader in the field of data integration, Oracle Data Integrator (ODI) is a multi-functional solution that is part of Oracle’s data management ecosystem. The platform provides features for event-based , data-based, and service-based integration styles. Data profiling and cleansing.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

DECEMBER 10, 2021

The Azure Functions is a serverless code computation service that allows you to run code without a server on demand, such as Events and External-Invoke. Geo-redundant storage (GRS) is the standard and preferred backup mode that replicates your data to a secondary region far away from the primary location of the source data.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JUNE 23, 2016

Structured datastores indicate that Sqoop only works with Relational Database Management Systems (RDBMS). Apache Sqoop is used to provide bidirectional data transfer between Hadoop and RDBMS. In Hadoop, the data can be imported into HDFS (Hadoop Distributed File System), Hive, or HBase. Data import in sqoop is not event driven.

Hadoop 40

Hadoop MySQL Relational Database Java 40

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 122

Architecture Metadata Government Kafka 122

AltexSoft

MARCH 14, 2023

Additionally, this modularity can help prevent vendor lock-in, giving organizations more flexibility and control over their data stack. Many components of a modern data stack (such as Apache Airflow, Kafka, Spark, and others) are open-source and free. These sources commonly include databases, SaaS products, and event streams.

IT 59

IT Data Warehouse Data Governance Data Lake 59