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 Scala ETL Tools 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

OCTOBER 5, 2023

A botched ETL job is a ticking time bomb, nestled within the heart of your data infrastructure, waiting to detonate a whirlwind of inaccuracies and inconsistencies. Mastering ETL best practices can help you defuse this bomb if it already exists or allow you to avoid unknowingly placing it altogether. What’s ETL?

Data Cleanse 52

Data Cleanse ETL Tools Datasets High Quality Data 52

Monte Carlo

SEPTEMBER 12, 2022

The field of data engineering has been growing at a breakneck pace. Keeping up with the latest developments can feel like a full-time job—so we’re always grateful when seasoned leaders share their perspectives on which trends in data engineering actually matter. Plus, he was one of the first data engineers at Facebook and Airbnb.

BI 52

BI Data Governance ETL Tools Data Warehouse 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. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Grouparoo

FEBRUARY 9, 2022

Today, organizations are adopting modern ETL tools and approaches to gain as many insights as possible from their data. However, to ensure the accuracy and reliability of such insights, effective ETL testing needs to be performed. So what is an ETL tester’s responsibility? Validate data sources.

Process 52

Process ETL System Data Warehouse Metadata 52

dbt Developer Hub

NOVEMBER 28, 2021

In my experience, these are false dichotomies, that sound great as hot takes but don’t really help us do our jobs as data people. They both exist to facilitate clear communication across data teams, in service of producing trustworthy data. And that common interface is configured in code + version-controlled.

Google Cloud 52

Google Cloud SQL Cloud Consulting 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Data Engineering Weekly

DECEMBER 18, 2023

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. I included this post because I often see high-pitched LinkedIn posts stating it is the human fault, especially around data quality issues.

Data Engineering 67

Data Engineering Data Engineer Engineering Food 67

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. Given this increased level of importance it has become necessary for everyone in the business to treat data as a product in the same way that software applications have driven the early 2000s.

Engineering 100

Engineering Electronics ETL Tools Data Pipeline 100

AltexSoft

OCTOBER 30, 2021

Explaining the difference, especially when they both work with something intangible such as data , is difficult. If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. Data science vs data engineering.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

ProjectPro

SEPTEMBER 26, 2021

The Big Data industry will be $77 billion worth by 2023. 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? Who is a Big Data Engineer?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. Table of Contents What is ETL Pipeline?

Process 52

Process Data Pipeline Data Warehouse AWS 52

AltexSoft

OCTOBER 8, 2021

To drive deeper business insights and greater revenues, organizations — whether they are big or small — need quality data. But more often than not data is scattered across a myriad of disparate platforms, databases, and file systems. The bad news is, integrating data can become a tedious task, especially when done manually.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

dbt Developer Hub

NOVEMBER 3, 2022

One key focus of our platform is data quality. We use Snowflake as our data warehouse where we build dashboards both for internal use and for customers. In the past we relied upon an ETL tool (Stitch) to pull data out of microservice databases and into Snowflake. Each of these microservices has its own database.

Kafka 52

Kafka ETL Tools BI Database 52

AltexSoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. What is Kafka?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report.

Kafka 87

Kafka Manufacturing Data Lake SQL 87

Towards Data Science

NOVEMBER 4, 2023

Platform Specific Tools and Advanced Techniques Photo by Christopher Burns on Unsplash The modern data ecosystem keeps evolving and new data tools emerge now and then. In this article, I want to talk about crucial things that affect data engineers. Are your data pipelines efficient?

Data Engineering 81

Data Engineering Data Engineer Engineering BI 81

Monte Carlo

FEBRUARY 19, 2024

And there are few data industry buzzwords that have been more hyped over the last four years than the self-service darling, “the data mesh.” Now, let me just say on the front end, the data mesh is not an Avatar 2 situation. (14 Table of Contents What’s a data mesh again? How do we get the data we need faster?

Architecture 59

Architecture Government Data Data Architecture 59

AltexSoft

MARCH 30, 2023

The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. The relatively new storage architecture powering Databricks is called a data lakehouse.

Scala 64

Scala Data Lake BI Google Cloud 64