AltexSoft

OCTOBER 30, 2021

Data engineering itself is a process of creating mechanisms for accessing data. The movement of data from its source to analytical tools for end users requires a whole infrastructure, and although this flow of data must be automated, building and maintaining it is a task of a data engineer. Managing data and metadata.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Another security measure is an audit log to track access. Kafka vs Hadoop.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

SEPTEMBER 26, 2021

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. As a Big Data Engineer, you shall also know and understand the Big Data architecture and Big Data tools.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

OCTOBER 8, 2021

At the same time, you get rid of the “data silos” problem: When no team or department has a unified view of all data due to fragments being locked in separate databases with limited access. Instead, companies can opt for automated data integration tools and platforms that often present no-code or low-code environments. Pricing model.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

NOVEMBER 30, 2021

That's where the ETL (Extract, Transform, and Load) pipeline comes into the picture! Table of Contents What is ETL Pipeline? Nontechnical users can easily access these data formats without installing data science software. The AWS Glue Data Catalog automatically loads your data and the associated metadata.

Process 52

Process Data Pipeline Data Warehouse AWS 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

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. All messages to and from the control plane are encrypted in transit.

Scala 64

Scala Data Lake BI Google Cloud 64