Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

AltexSoft

AUGUST 29, 2023

Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion. This zone utilizes storage solutions like Hadoop HDFS, Amazon S3, or Azure Blob Storage.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Data Engineering Podcast

MAY 18, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. What is the current state of the ecosystem for generating and sharing metadata between systems? What are your goals for the OpenLineage effort?

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Confluent

MAY 21, 2019

This leads us to event streaming microservices patterns. Now that the profile change event is published, it can be received by the quote service. Now that the profile change event is published, it can be received by the quote service. In fact, schemas are more than just a contract between two event streaming microservices.

Kafka 110

Kafka Insurance Architecture Database 110

AltexSoft

JULY 18, 2023

This module can ingest live data streams from multiple sources, including Apache Kafka , Apache Flume , Amazon Kinesis , or Twitter, splitting them into discrete micro-batches. Netflix leverages Spark Streaming and Kafka for near real-time movie recommendations. Directed Acyclic Graph (DAG).

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

JULY 8, 2021

A detailed introduction to Apache Kafka Architecture, one of the most popular messaging systems for distributed applications. Kafka Streams and Kafka Connect were used to keep track of the threat of the COVID-19 virus and analyze the data for a more thorough response on local, state, and federal levels.

Kafka 40

Kafka Architecture IT Big Data 40

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Big Data 40

AltexSoft

NOVEMBER 7, 2022

However, the platform is compatible with solutions supporting near real-time and real-time analytics — such as Apache Kafka or Apache Spark. Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more. Since the 2.0

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

ProjectPro

AUGUST 24, 2021

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. This architecture shows that simulated sensor data is ingested from MQTT to Kafka.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 22, 2021

StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. To define the columns, PySpark offers the pyspark.sql.types import StructField class, which has the column name (String), column type (DataType), nullable column (Boolean), and metadata (MetaData).

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

AUGUST 11, 2021

Is Hadoop a data lake or data warehouse? The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. ironSource started making use of Upsolver as its data lake for storing raw event data.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

NOVEMBER 15, 2021

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. Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

MARCH 23, 2015

In one of our previous articles we had discussed about Hadoop 2.0 YARN framework and how the responsibility of managing the Hadoop cluster is shifting from MapReduce towards YARN. In one of our previous articles we had discussed about Hadoop 2.0 Here we will highlight the feature - high availability in Hadoop 2.0

Hadoop 40

Hadoop Big Data Architecture Metadata 40

AltexSoft

SEPTEMBER 21, 2023

Analysis of logs, metrics, and security events. With Elasticsearch, you can aggregate and analyze large streams of logs, metrics, and security events in near real-time, making it indispensable for system monitoring and security information and event management (SIEM). Real-time behavior modeling with ML.

Engineering 52

Engineering NoSQL Programming Language Java 52

AltexSoft

OCTOBER 8, 2021

The platform provides features for event-based , data-based, and service-based integration styles. Oracle Data Integrator has the functionality that automatically analyzes metadata from various data stores, detects patterns, generates, and then applies data quality rules to identify any issues among actual values. Pre-built connectors.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Monte Carlo

JUNE 14, 2023

5 Data pipeline architecture designs and their evolution The Hadoop era , roughly 2011 to 2017, arguably ushered in big data processing capabilities to mainstream organizations. A well designed pipeline will meet use case requirements while being efficient from a maintenance and cost perspective.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

ProjectPro

MAY 30, 2016

The next in the series of articles highlighting the most commonly asked Hadoop Interview Questions, related to each of the tools in the Hadoop ecosystem is - Hadoop HDFS Interview Questions and Answers. HDFS vs GFS HDFS(Hadoop Distributed File System) GFS(Google File System) Default block size in HDFS is 128 MB.

Hadoop 40

Hadoop Metadata Big Data Portfolio 40

ProjectPro

NOVEMBER 30, 2021

The AWS Glue Data Catalog automatically loads your data and the associated metadata. It gives you access to a metadata library where you can quickly reuse and repurpose your work. Hive makes it easier for those familiar with SQL and who work with standard RDBMS databases to access and modify data in Hadoop.

Process 52

Process Data Pipeline Data Warehouse AWS 52

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. GRS is more expensive than LRS, but it provides greater data resilience, even in the event of a local disruption. Azure HDInsight is a Hadoop feature distribution on the cloud.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

AUGUST 9, 2018

Which instance will you use for deploying a 4-node Hadoop cluster in AWS? The auto-scaling group is set to trigger a scale-up event with 60% CPU utilization. A core node comprises software components that execute operations and store data in a Hadoop Distributed File System or HDFS. We can use a c4.8x large instance or i2.large

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

AltexSoft

MARCH 14, 2023

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. Event streams. To react to data updates as they occur, companies often need to log user interactions as events for analytical purposes.

IT 59

IT Data Warehouse Data Governance Data Lake 59