Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 What does a big data engineer do?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Big Data Tools

MAY 19, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now. Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now. Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

The good news is that I had time to put together this new installment of our Data Engineering Annotated! I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

The good news is that I had time to put together this new installment of our Data Engineering Annotated! I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

AUGUST 3, 2021

August is a good time to start new things – some people are on vacation and have more spare time to read than usual, while others are back and looking for a quick refresher on what’s new in data engineering. Without further ado, let’s get started with this inaugural issue of Data Engineering Annotated! Marie Kondo would be proud!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

AUGUST 3, 2021

August is a good time to start new things – some people are on vacation and have more spare time to read than usual, while others are back and looking for a quick refresher on what’s new in data engineering. Without further ado, let’s get started with this inaugural issue of Data Engineering Annotated! Marie Kondo would be proud!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

DECEMBER 7, 2021

Hi, I’m Pasha Finkelshteyn , and I’ll be your guide today through this month’s installment of the Data Engineering Annotated Monthly. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

DECEMBER 7, 2021

Hi, I’m Pasha Finkelshteyn , and I’ll be your guide today through this month’s installment of the Data Engineering Annotated Monthly. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Knowledge Hut

DECEMBER 27, 2023

In the early 1800s, as the field of statistics expanded, it included collecting and analyzing data. But it saw the first problem with the overwhelming amount of data. Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Big Data Tools

JUNE 8, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now. DataHub 0.8.36 – Metadata management is a big and complicated topic. There are several solutions. version on GitHub.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now. DataHub 0.8.36 – Metadata management is a big and complicated topic. There are several solutions. version on GitHub.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 5, 2021

As data engineers, let’s follow their lead and learn something new, too! Here’s what’s happening in data engineering right now. Zingg 0.3.0 – MDM (Master Data Management) is tricky. You have multiple sources of data and you have to define what is true and what is not. Articles This section is all about inspiration.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

As data engineers, let’s follow their lead and learn something new, too! Here’s what’s happening in data engineering right now. Zingg 0.3.0 – MDM (Master Data Management) is tricky. You have multiple sources of data and you have to define what is true and what is not. Articles This section is all about inspiration.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 9, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now. Apache Age 1.1.0 – Sometimes, we data engineers do work that doesn’t deal directly with big data. We work with pipes.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 9, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Here’s what’s happening in the world of data engineering right now. Apache Age 1.1.0 – Sometimes, we data engineers do work that doesn’t deal directly with big data. We work with pipes.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

JULY 13, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe to the newsletter here.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JULY 13, 2022

I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe to the newsletter here.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

I am now delighted to have the privilege of returning to the task of collecting for you the most exciting news from the world of data engineering. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Why should data engineers care about this?

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

I am now delighted to have the privilege of returning to the task of collecting for you the most exciting news from the world of data engineering. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Why should data engineers care about this?

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Amazon is collecting intelligence and valuable pricing information (big data) from its competitors.

Big Data 52

Big Data Hadoop Insurance Media 52

Knowledge Hut

NOVEMBER 2, 2023

Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

FEBRUARY 16, 2023

In this world of big data, whereevery nugget of information is precious but overwhelming, Apach Splunk shines as a beacon of hope with its cutting-edge data management and analysis capabilities. This log data can be generated from various sources, including servers, applications, network devices, and security systems.

Big Data Tools 52

Big Data Tools Big Data Architecture Data 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

JUNE 29, 2016

A quick search for the term “learn hadoop” showed up 856,000 results on Google with thousands of blogs, tutorials, big data application demos, online MOOC offering hadoop training and best hadoop books for anyone willing to learn hadoop. will be most sought after in the IT industry than those who work on legacy code.

Hadoop 40

Hadoop Big Data Banking Consulting 40

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

FEBRUARY 6, 2023

Did you know there are 40,000+ Data Analytics Engineer jobs in the United States as of Jan 2023? The role of a data analytics engineer is often overlooked but the impact is immeasurable. Companies start looking for data professionals who have a thorough understanding of both the engineering and analytics aspects of the data stack.

Data Analytics 52

Data Analytics Engineering IT Computer Science 52

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

MARCH 7, 2016

Big Data is in the middle of its journey, offering various life-changing career opportunities. If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. It might seem redundant to you.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Knowledge Hut

APRIL 23, 2024

Data Science and Business intelligence are popular terms in every business domain these days. Though both have data as the fundamental aspect, their uses, and operations vary. Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 16, 2023

Over 3 billion monthly searches, 2,400+ unique apps and add-ons, and 1,000+ unique data integrations make SPLUNK ‘the big data solution for the hybrid world’! Splunk is an outstanding tool for exploring, monitoring, analyzing, and acting on your data. How do you compress data in Splunk?

Big Data 52

Big Data Big Data Tools Cloud Data 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Hadoop projects for beginners are simply the best thing to do to learn the implementation of big data technologies like Hadoop.

Hadoop 40

Hadoop Big Data Coding Project 40

Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 24, 2023

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Azure Data Factory and AWS Glue are powerful tools for data engineers who want to perform ETL on Big Data in the Cloud.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52