Knowledge Hut

SEPTEMBER 21, 2023

That’s why, in this section I will tell you some of the Microsoft cloud engineer salary in India based on their skill set: Job Title Technical Skills Required Salary Range Cloud Solutions Architect Cloud computing, virtualization, networking INR 5.1 LPA - INR 20 LPA Data Analyst Data mining, data modeling, statistical analysis INR 2.01

Cloud 52

Cloud Engineering Cloud Computing Certification 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Data Engineer Engineering Algorithm 98

ProjectPro

DECEMBER 7, 2021

This process enables quick data analysis and consistent data quality, crucial for generating quality insights through data analytics or building machine learning models. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

SEPTEMBER 26, 2021

According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer? Most of these are performed by Data Engineers.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Silectis

MARCH 9, 2021

The importance of data engineering is on the rise, with organizations increasingly investing in talent and infrastructure. I caught up with a few members of the team to take note of some of the data engineering trends we anticipate seeing more of this year and beyond. – Matt Boegner , Data Architect at Silectis 2.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

Grouparoo

SEPTEMBER 7, 2021

Operational analytics is the process of creating data pipelines and datasets to support business teams such as sales, marketing, and customer support. Data analysts and data engineers are responsible for building and maintaining data infrastructure to support many different teams at companies.

ETL Tools 52

ETL Tools Data Warehouse Business Intelligence Datasets 52

Data Engineering Podcast

JANUARY 15, 2022

Summary Applications of data have grown well beyond the venerable business intelligence dashboards that organizations have relied on for decades. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud.

Engineering 100

Engineering Electronics ETL Tools Data Pipeline 100

Knowledge Hut

APRIL 19, 2023

In this article, we will discuss what is ETL, the architecture of an ETL pipeline, types of ETL pipelines, how to create an ETL pipeline, and benefits of the ETL pipeline process. If you want to learn more about ETL processes check out this Data Engineer course. What is ETL?

Data Warehouse 52

Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

Monte Carlo

APRIL 4, 2023

Monte Carlo, which maintains rich integrations with data warehouses and lakes like Snowflake, Databricks, Google BigQuery, and Amazon Redshift, business intelligence tools like Looker, Tableau, and Mode, and ETL tools like Airflow and dbt, extends data quality coverage at ingestion with our native Fivetran integration.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Monte Carlo

APRIL 4, 2023

Monte Carlo, which maintains rich integrations with data warehouses and lakes like Snowflake, Databricks, Google BigQuery, and Amazon Redshift, business intelligence tools like Looker, Tableau, and Mode, and ETL tools like Airflow and dbt, extends data quality coverage at ingestion with our native Fivetran integration.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

ProjectPro

JANUARY 27, 2023

Whether you are a data engineer, BI engineer, data analyst, or an ETL developer, understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. Well, it surely is!

BI 52

BI ETL Tools Retail Healthcare 52

Monte Carlo

FEBRUARY 15, 2023

A data warehouse is an online analytical processing system that stores vast amounts of data collected within a company’s ecosystem and acts as a single source of truth to enable downstream data consumers to perform business intelligence tasks, machine learning modeling, and more. They need to be transformed.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

AltexSoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

AltexSoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. What is a data mart? Hybrid data marts. loading data into a data mart.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Monte Carlo

AUGUST 9, 2023

From the hundreds of hours we’ve spent talking to customers, it’s clear that data quality issues are some of the most pernicious challenges facing modern data teams. In fact, according to Gartner , data quality issues cost organizations an average of $12.9 Bad data in—bad data products out. million per year.

Finance 52

Finance High Quality Data SQL Data 52

ProjectPro

FEBRUARY 18, 2022

The big data analytics market is expected to grow at a CAGR of 13.2 This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. ETL pipelines help data scientists to prepare data for analytics and business intelligence.

Project 52

Project AWS Kafka Healthcare 52

AltexSoft

OCTOBER 8, 2021

Xplenty: convenient low-code environment for data integration. Xplenty is a cloud-based , low-code data transformation and integration platform that helps users organize and prepare their data for advanced business intelligence and analytical purposes. Data profiling and cleansing. Data loading.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. A publisher (say, telematics or Internet of Medical Things system) produces data units, also called events or messages , and directs them not to consumers but to a middleware platform — a broker.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

NOVEMBER 30, 2021

ETL (Extract, Transform, and Load) Pipeline involves data extraction from multiple sources like transaction databases, APIs, or other business systems, transforming it, and loading it into a cloud-hosted database or a cloud data warehouse for deeper analytics and business intelligence.

Process 52

Process Data Pipeline Data Warehouse AWS 52

phData: Data Engineering

MAY 11, 2023

Zero-Code Development Life Cycle (ZDLC) is the recognition that Matillion for Snowflake is a new breed of ETL tool that allows a full spectrum of users and use cases to operate concurrently on the same platform for the same organization. This is often called CURATED, or REPORT, or even DATA WAREHOUSE.

Coding 52

Coding Software Engineer Software Engineering Government 52

AltexSoft

SEPTEMBER 10, 2021

So, why does anyone need to integrate data in the first place? Today, companies want their business decisions to be driven by data. But here’s the thing — information required for business intelligence (BI) and analytics processes often lives in a breadth of databases and applications. Middleware data integration.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52

Monte Carlo

SEPTEMBER 8, 2021

It’s a new approach to making data actionable and solving the “last mile” problem in analytics by empowering business teams to access—and act on—transformed data directly in the SaaS tools they already use every day. This frees up data engineers from one-off tasks while enabling business teams to self-serve their data.

ETL Tools 52

ETL Tools Data Warehouse BI Data Pipeline 52

Towards Data Science

NOVEMBER 4, 2023

In this article, I want to talk about crucial things that affect data engineers. I’d like to discuss some popular Data engineering questions: Modern data engineering (DE). Does your DE work well enough to fuel advanced data pipelines and Business intelligence (BI)? What is it?

Data Engineering 89

Data Engineering Data Engineer Engineering BI 89

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 Google Cloud 64