Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

DECEMBER 13, 2023

Micro Focus has rapidly amassed a robust portfolio of Big Data products in just a short amount of time. The Vertica Analytics Platform provides the fastest query processing on SQL Analytics, and Hadoop is built to manage a huge volume of structured data. This tool can process up to 80 terabytes of data.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Knowledge Hut

NOVEMBER 17, 2023

This certification covers the following things- Working on network technologies in AWS Creating secure applications Deploying hybrid systems. How to design highly available, scalable, and performant systems, implement and deploy applications in AWS, deploy data security practices, and cost optimization approach.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge.

Big Data 44

Big Data NoSQL Hadoop Data Lake 44

Monte Carlo

APRIL 24, 2023

One weakness of the data lake architecture was the need to “bolt on” a data store such as Hive or Glue. This was largely overcome when Databricks announced their Unity Catalog feature which fully integrates those metastores along with other partnering data catalog and data security technologies.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Machine Learning 64

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

NOVEMBER 10, 2021

The data in this case is checked against the pre-defined schema (internal database format) when being uploaded, which is known as the schema-on-write approach. Purpose-built, data warehouses allow for making complex queries on structured data via SQL (Structured Query Language) and getting results fast for business intelligence.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

AUGUST 29, 2023

Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Semi-structured data sources. Transformation section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

NOVEMBER 28, 2023

As a result, most companies are transforming into data-driven organizations harnessing the power of big data. Here Data Science becomes relevant as it deals with converting unstructured and messy data into structured data sets for actionable business insights.

Data Architect 52

Data Architect Data Science Certification Big Data 52

ProjectPro

NOVEMBER 15, 2021

DataFrames are used by Spark SQL to accommodate structured and semi-structured data. Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc. It offers a fault-tolerant storage engine that prioritizes data security.

Big Data 52

Big Data Project Metadata Programming Language 52

Knowledge Hut

DECEMBER 29, 2023

The highlight feature of this platform is its potential to integrate semi-structured and structured data without using any third-party tools. Apache Hive It is a Hadoop-based data management and storage tool that allows data analytics through an SQL-like framework.

Data Engineering 40

Data Engineering Data Engineer Engineering BI 40

ProjectPro

JANUARY 24, 2023

BigQuery has built-in security and encryption features, allowing users to keep their data secure. Source: Overview of BigQuery Architecture Google BigQuery Datatypes BigQuery supports all major data types present in Standard SQL. Q: Which pattern describes source data moved into a BigQuery table in a single operation?

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

ProjectPro

JANUARY 31, 2022

Snowflake provides data warehousing, processing, and analytical solutions that are significantly quicker, simpler to use, and more adaptable than traditional systems. Snowflake is not based on existing database systems or big data software platforms like Hadoop. Data security, as data is not accessible by humans.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

MAY 13, 2016

Hadoop is the most talked about innovation in the IT industry that has shaken the entire data centre infrastructure at many organizations. As the appetite for Hadoop and related big data technologies grows at an exponential rate, it is not out to spell the death of data warehousing.

Data Warehouse 40

Data Warehouse Hadoop Unstructured Data Big Data 40