Knowledge Hut

JULY 4, 2023

But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts. Among the highest-paying roles in this field are Data Architects, Data Scientists, Database Administrators, and Data Engineers.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Knowledge Hut

DECEMBER 21, 2023

In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? Data engineering is the method to collect, process, validate and store data. It involves building and maintaining data pipelines, databases, and data warehouses.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Cloudera

SEPTEMBER 24, 2021

Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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Data Architect Government NoSQL Big Data 94

Snowflake

AUGUST 21, 2023

Given the popularity and continued growth of data mesh, many of today’s leading compute, storage, and data security platforms are also evolving to support and enable it. Rankin and his team found a solution to this problem in the budding concept of the data mesh. So, having a focus on cost and simplicity is really important.”

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Rockset

OCTOBER 20, 2022

Introduction Making use of real-time data for analytics is a deeply collaborative project. We’ve helped data engineers, data architects, engineering leaders, ML teams, and product managers connect the dots between various systems to deliver on Rockset’s promise of fast queries on fresh data. Why did we build this?

SQL 52

SQL Data Architect Datasets Python 52

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). You should also think about what kind of Data is interesting for you.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

DataKitchen

FEBRUARY 21, 2023

But the code (or tool configuration) that acts upon data is equally important. Build analytic data systems that have modular, reusable components. Build components that are idempotent on data. and ensure the data products are trusted. Discover data and system errors in production before users do.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

U-Next

JULY 4, 2022

The chances are tremendously more that you will land a successful career in the data science field after reading this blog than without reading it. Introduction To Data Science Career. Data science career has been evolving, and it is in high demand. Data science is involved in the process of collecting and analysing data.

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

ProjectPro

FEBRUARY 8, 2023

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. Data Warehousing Knowledge of data cubes, dimensional modeling, and data marts is required. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Cloudera

JANUARY 3, 2018

Building the right team is as important as assembling the right IT infrastructure – and the needs differ just as dramatically. A traditional BI and analytics organization consists of three main groups: Analysts that develop reports often using sample data. The post Staffing your big data team appeared first on Cloudera Blog.

Big Data 40

Big Data Data Architect Data Science Programming Language 40

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Fig 2: Data collection flow diagram. Part number. Serial number.

Manufacturing 107

Manufacturing Data Warehouse Kafka Retail 107

Knowledge Hut

FEBRUARY 16, 2023

As per Stitch, 50% of the world's data engineers are located in the United States, making the continent an excellent place for data engineers. Data engineer salary in US attracts a pretty decent amount. On average, a data engineer in USA earns over $1,14,435. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

Snowflake

JANUARY 23, 2023

The ultimate aim of data modeling is to establish clear data standards for your entire organization. By using data models, developers, data architects, and business analysts can use logical data and determine how they want to use it before building databases and data clouds.

Data Integration 57

Data Integration Data Data Warehouse Business Analyst 57

Knowledge Hut

NOVEMBER 19, 2023

In this blog, we will explore the career paths of Artificial intelligence and what skills are most important to consider while taking this journey. How to become: Get a degree in computer science or any other related field, master big data technologies such as HD and SRK, and be involved in real-world data projects.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Striim

NOVEMBER 30, 2022

We are excited to launch Striim Cloud on AWS: a real-time data integration and streaming platform that connects clouds, data and applications with unprecedented speed and simplicity. Currently, all store data is stored in a transaction database (Oracle). Imagine you’re Acme Corporation’s data architect.

AWS 52

AWS Cloud Management Google Cloud 52

Pipeline Data Engineering

MAY 2, 2022

Check out what our graduates have to say about the course, how they’ve tackled its challenges and what they are doing now with their new data engineering superpowers. Peter: Can I ask you to please introduce yourself to the readers of Pipeline Academy’s blog? Guoda: My name is Guoda, I'm a data analyst. G: Yes, indeed.

Computer Science 52

Computer Science Business Analyst Architecture Data Architect 52

Netflix Tech

DECEMBER 11, 2020

This required building robust core infrastructure, ensuring a great developer experience, and solving for key cross-cutting concerns. In Studio Edge, every DGS team needs to build expertise in GraphQL. Check out their conference talk and expect a future blog post from our colleagues.

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IT Architecture Java Designing 99

Rockset

JULY 22, 2022

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. Developers can move fast, and build and launch new apps quickly and it is way easier to iterate on.

NoSQL 52

NoSQL SQL Database AWS 52

Knowledge Hut

SEPTEMBER 26, 2023

When designing, constructing, maintaining, and troubleshooting data pipelines that transfer data from its source to the proper storage place and make it accessible for analysis and reporting, we collaborate with data architects and data scientists. ETL activities are also the responsibility of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

OCTOBER 8, 2023

These companies are constantly looking out for professionals who are familiar with and can develop newer technologies and systems for larger volumes of data. If you want to build a career in data technologies, then the AWS platform is right for you. One of the best ways to do so is with certifications.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Airbnb Tech

NOVEMBER 3, 2020

We created the following groups to address these gaps: Data Engineering Forum  — Monthly all-hands meeting for data engineers intended for cascading context and gathering feedback from the broader community. Data Architect Working Group  — Composed of senior data engineers from across the company.

Data Warehouse 52

Data Warehouse Scala Datasets Data Engineering 52

Monte Carlo

NOVEMBER 21, 2022

A data engineer can take a notebook, write a bunch of code even across different languages, pull in different data sources, merge them together, build an application, and then publish this application to their end users. will play out, be sure to bookmark the Data Downtime Blog. Talk to us about data observability!

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Confluent

MAY 21, 2019

When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. Either way, these promises, whether an API or a schema, is what allows us to connect microservices to each other and use them to build larger applications. It is not just about services.

Kafka 110

Kafka Insurance Architecture Database 110

Monte Carlo

JUNE 29, 2021

In my opinion, it boils down to two key factors: The s upply of data engineers doesn’t meet demand. The data ecosystem is evolving fast, more and more companies are betting big on data. Either way you slice it, there aren’t enough data engineers. In this blog post we will cover 5 non-obvious ways (and one bonus way!)

Data Engineering 40

Data Engineering Data Engineer Engineering Recruitment 40

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Airbnb Tech

NOVEMBER 24, 2020

This key architectural feature made it possible for Midas to guarantee end-to-end data quality, covering both data warehouse tables and the metric definitions derived from them. The Midas Promise To build data to meet consistent quality standards, we created a certification process. In particular, quality takes time.

Data Warehouse 52

Data Warehouse Certification Data Pipeline Data 52

Knowledge Hut

FEBRUARY 15, 2023

To maintain its pre-eminence as a data center in Asia and around the world, the country needs Data Analysts with insight and abilities. In this blog, we are going to take a look at the top data analyst jobs in Singapore and ways to land one. What is a Data Analyst? So let us get started with some basic definitions.

Consulting 52

Consulting Certification Utilities Data Science 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. Read this blog to find out! 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 Is it actually worth pursuing?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Data Science Scholarships: Overview Many data science scholarships are available for students interested in pursuing a career in data science. In addition, many organizations offer data science master's scholarships, such as corporations, foundations, and government agencies.

Data Science 52

Data Science Consulting Computer Science Education 52

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

ProjectPro

JUNE 30, 2016

The increasing number of startups, boom in the e-commerce industry, consumer driven market and growing economy are all set to create huge big data job opportunities in the analytics space with commanding salaries in India. India has the second highest demand for big data , data science and analytics professionals, US being the first.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

FEBRUARY 24, 2016

What’s the average data scientist salary in 2023? How much does a data scientist make? Do data scientists make a lot of money? They know how to build well-architected data science products. ProjectPro’s end-to-end solved data science and machine learning projects are a great place to start.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

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

ProjectPro

AUGUST 16, 2021

Thanks to innovation and research in machine learning algorithms, we can seek knowledge and learn from insights that hide in the data. Data Engineers, Data Scientists, Data Architects have become significant job titles in the market, and the opportunities keep soaring.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

MAY 19, 2015

In this blog we have come up with the 5 best reasons to learn Hadoop. Having completed certified Hadoop training, a candidate is eligible to apply for a host of job positions such as Hadoop Developer, Big data architect, Data Analysts, Hadoop Administrator, and Data Scientist.

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Hadoop Big Data NoSQL Database-centric 40