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

Knowledge Hut

APRIL 19, 2023

If you would like to learn more about different data aggregation techniques check out a Data Engineer certification program. What is Data Aggregation? The process of merging and summarizing data from various sources in order to generate insightful conclusions is known as data aggregation.

Process 59

Process Data Mining Aggregated Data Portfolio 59

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Aggregation. The ELT workflow.

Process 52

Process Building Raw Data Data Lake 52

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. How Does AWS Glue Work?

AWS 98

AWS Scala Metadata Data Lake 98

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

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Rockset

APRIL 15, 2022

Mutability is the most important capability, but close behind, and intertwined, is the ability to handle out-of-order data. Out-of-order data are time-stamped events that for a number of reasons arrive after the initial data stream has been ingested by the receiving database or data warehouse.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

DoorDash Engineering

APRIL 12, 2023

Challenges of ad-hoc SQLs Our initial goal with Curie was to standardize the analysis methodologies and simplify the experiment analysis process for data scientists. Core Data Models / Semantics We placed a strong emphasis on identifying the most comprehensive and effective core data models for users to create their own metrics.

SQL 82

SQL Metadata Raw Data Government 82