Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Picnic Engineering

FEBRUARY 8, 2023

In our previous blog, Dima Kalashnikov explained how we configure our Internal services pipeline in the Analytics Platform. In this post, we will explain how our team automates the creation of new data pipeline deployments. If a rollback fails, a “ROLLBACK_FAILED” status is sent to the client.

Data Pipeline 105

Data Pipeline Kafka Data Architecture 105

Knowledge Hut

MARCH 20, 2024

In this blog, I will explain everything about automation software engineer job description and their salaries. I will explain their responsibilities further in the blog. Additionally, knowledge about automation software and frameworks like Selenium, Appium, or Robot Framework would be a big plus.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

Knowledge Hut

MARCH 14, 2024

In this blog, I will explain everything about automation software engineer job description and their salaries. I will explain their responsibilities further in the blog. Additionally, knowledge about automation software and frameworks like Selenium, Appium, or Robot Framework would be a big plus.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

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. This is where a data analytics engineer comes into the picture.

Data Analytics 52

Data Analytics Engineering IT Computer Science 52

Data Engineering Podcast

MAY 19, 2019

Summary In recent years the traditional approach to building data warehouses has shifted from transforming records before loading, to transforming them afterwards. The data build tool (dbt) is designed to bring battle tested engineering practices to your analytics pipelines.

Data Analytics 100

Data Analytics Building Engineering Data Warehouse 100

Data Engineering Podcast

FEBRUARY 9, 2020

Summary Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling strategy that provides them with flexibility and speed.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Data Engineering Weekly

APRIL 23, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. I open-sourced Schemata last year, the industry's first Data Contract as a Code (DCC).

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

ProjectPro

FEBRUARY 16, 2023

Apache Spark is an open-source, distributed computing system for big data processing and analytics. It has become a popular big data and machine learning analytics engine. Whether you're looking to expand your knowledge or get a head start on a big data project, our blog has got you covered.

Big Data 52

Big Data Scala Machine Learning Hadoop 52

Cloudera

DECEMBER 21, 2023

How long would it take you to find the data you need to even begin to come up with a data-driven response? Creating a query when you’ve new to a data model Whether you’re new to a role, or just new to a given data source, finding data is 90 percent of the query creation problem. That would be amazing wouldn’t it?

SQL 66

SQL Data Warehouse Business Analyst Data Schemas 66

Data Engineering Podcast

AUGUST 26, 2019

Summary Data engineers are responsible for building tools and platforms to power the workflows of other members of the business. Benn Stancil is the chief analyst at Mode Analytics and in this episode he explains the set of considerations and requirements that data analysts need in their tools and.

Building 100

Building Data Analytics Media Data Engineering 100

Knowledge Hut

MARCH 19, 2024

In this blog, I will describe the role of a Machine Learning Software Engineer, their responsibilities, required skills, and the path to becoming one. Data Preparation: The Machine Learning Engineer Software engineers get, clean, and process data so that it can be used in machine learning models.

Software Engineer 52

Software Engineer Software Engineering Machine Learning Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JUNE 26, 2023

This article is mainly focused on explaining different backend projects for beginners or students, intermediate learners, or those who have mid enough software development experience building large scalable projects. For blog posts, you can have comments and shareable links. Why should you work with background projects?

Portfolio 98

Portfolio Project Food Media 98

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place. Happy following!

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

NOVEMBER 9, 2022

A large part of professional services is essentially technical consulting,” Timur explained. I chose to join Cloudera among other opportunities I had at the time because its products touch the artificial intelligence (AI) and machine learning (ML) sectors,” he explained. Applying army lessons to technology solutions.

Professional Services 86

Professional Services Management Consulting Machine Learning 86

Cloudera

SEPTEMBER 1, 2021

The more an enterprise wants to know about itself and its business prospects, the more data it needs to collect and analyze. Additionally, the more data it collects and stores, the better its ability to know customers, to find new ones, and to provide more of what they want to buy. Common characteristics of data-driven companies.

Hadoop 94

Hadoop Data Utilities Consulting 94

Cloudera

DECEMBER 17, 2021

As a Principal Solutions Engineer, he says his core responsibility is “to take Cloudera’s latest and greatest technology and meet a customer’s complex business requirements, across the data lifecycle, on any cloud or the datacenter.”. It’s this People First culture that Manoj feels sets us apart from other big data companies. .

Engineering 91

Engineering Telecommunication Big Data Machine Learning 91

dbt Developer Hub

DECEMBER 11, 2023

The Semantic Layer lets teams define business metrics centrally, in dbt, and access them in multiple analytics tools through our semantic layer APIs. It’s the perfect opportunity to put the semantic layer through its paces for product analytics. The steps we followed were broadly: Work with engineering to understand the data sources.

Finance 64

Finance BI SQL Cloud 64

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. It is widely used in robotics and games.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Snowflake

JULY 27, 2023

In this guest blog post, HomeToGo’s director of data, Stephan Claus, explains why the company migrated to Snowflake to meet its data needs. This article is based on Stephan’s presentation during the Snowflake Data World Tour 2022. Over the course of this journey, HomeToGo’s data needs have evolved considerably.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Lyft Engineering

APRIL 25, 2023

Building a large scale unsupervised model anomaly detection system — Part 2 Building ML Models with Observability at Scale By Rajeev Prabhakar , Han Wang , Anindya Saha Photo by Octavian Rosca on Unsplash In our previous blog we discussed the different challenges we faced for model monitoring and our strategy for addressing some of these problems.

Systems 75

Systems Building Machine Learning Datasets 75

Data Engineering Podcast

AUGUST 5, 2019

Summary Data is only valuable if you use it for something, and the first step is knowing that it is available. As organizations grow and data sources proliferate it becomes difficult to keep track of everything, particularly for analysts and data scientists who are not involved with the collection and management of that information.

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

LinkedIn Engineering

MAY 2, 2023

In earlier blog posts, we defined what a graph database is and also shared how to index graph data for fast, constant-time access. Figure 1: People You May Know (PYMK) A knowledge graph is like a big web of information where the way things are connected helps us understand and think about the world.

Utilities 81

Utilities Database Architecture Machine Learning 81

Data Engineering Podcast

SEPTEMBER 22, 2019

Summary Object storage is quickly becoming the unifying layer for data intensive applications and analytics. Modern, cloud oriented data warehouses and data lakes both rely on the durability and ease of use that it provides. Interview Introduction How did you get involved in the area of data management?

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

Data Engineering Podcast

AUGUST 24, 2020

Summary In order to scale the use of data across an organization there are a number of challenges related to discovery, governance, and integration that need to be solved. If you hand a book to a new data engineer, what wisdom would you add to it? The key to those solutions is a robust and flexible metadata management system.

Metadata 100

Metadata Management Kafka Data Engineering 100

Data Engineering Podcast

OCTOBER 7, 2019

Summary The process of exposing your data through a SQL interface has many possible pathways, each with their own complications and tradeoffs. One of the recent options is Rockset, a serverless platform for fast SQL analytics on semi-structured and structured data. Visit Datacoral.com today to find out more.

Structured Data 100

Structured Data Cloud SQL Programming Language 100

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. You can leverage AWS Glue to discover, transform, and prepare your data for analytics.

AWS 52

AWS Data Lake ETL Tools Scala 52

Knowledge Hut

JANUARY 24, 2024

In today's digital age, where information permeates every corner of our lives, the role of a data scientist bears a striking resemblance to that of a modern-day explorer. Join me on this captivating expedition as we peel back the curtain, revealing the intricacies that define "A Day in the Life of a Data Scientist."

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Data Engineering Weekly

OCTOBER 23, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Hello Data Friends, Welcome to another edition of Data Engineering Weekly.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Knowledge Hut

NOVEMBER 27, 2023

The Data Science learning path is a collective set of curated courses that comprise a learning plan for achieving the required skills for the data scientist role. While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Lyft Engineering

NOVEMBER 29, 2023

Introduction At Lyft, we have used systems like Apache ClickHouse and Apache Druid for near real-time and sub-second analytics. Sub-second query systems allow for near real-time data explorations and low latency, high throughput queries, which are particularly well-suited for handling time-series data.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Knowledge Hut

JANUARY 1, 2024

Business analysts use data to form business insights and recommend changes in businesses. Business analysts also use mathematics and Information technology to analyze operational data. PG certificate in business analytics will also help you in your career path. What Does a Business Analyst Do?

Business Analyst 52

Business Analyst Portfolio Certification Education 52

Knowledge Hut

NOVEMBER 15, 2023

It should highlight your most relevant skills and experiences and explain how they will help you succeed in the role you're seeking. As you can see, a well-written and specific career objective can make a big difference in how your technical resume is received by potential employers. Undergone data science course.

Finance 98

Finance Business Intelligence Database-centric Certification 98

Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts. What is Data Analytics?

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Zalando Engineering

SEPTEMBER 25, 2023

My first stop was the Zalando Engineering Blog - a real treasure for someone like me who was curious about the engineering culture and practices at what would be my new company. Since I love reading and writing blog posts, I even dreamt of contributing here someday. Cyber Week My first big challenge was Cyber Week.

Management 51

Management Engineering Software Engineer Software Engineering 51

Cloudera

APRIL 7, 2021

The first big change that carriers must contend with is a shift toward more personal, digital experiences. Finally, the connected car, connected home, and connected self are generating an enormous amount of data. Data — Too much and Too little. External Data/Big Data/Data Sharing. Data Monetization.

Insurance 57

Insurance Media Big Data Accessible 57