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. ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Cloudera

AUGUST 31, 2021

These schemas will be created based on its definitions in existing legacy data warehouses. Smart DwH Mover helps in accelerating data warehouse migration. Smart Data Validator helps in extensive data reconciliation and testing. Smart Query Convertor converts queries and views to be made compatible on CDW.

Data Warehouse 80

Data Warehouse Database-centric Metadata Cloud 80

ProjectPro

FEBRUARY 16, 2023

of data engineer job postings on Indeed? If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. But how does SQL play a vital role here?

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. By using DataOps tools, organizations can break down silos, reduce time-to-insight, and improve the overall quality of their data analytics processes.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Databand.ai

AUGUST 30, 2023

Data quality monitoring refers to the assessment, measurement, and management of an organization’s data in terms of accuracy, consistency, and reliability. It utilizes various techniques to identify and resolve data quality issues, ensuring that high-quality data is used for business processes and decision-making.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. In this phase, data is collected from various sources.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Pinterest Engineering

NOVEMBER 28, 2023

Pinterest’s real-time metrics asynchronous data processing pipeline, powering Pinterest’s time series database Goku, stood at the crossroads of opportunity. The mission was clear: identify bottlenecks, innovate relentlessly, and propel our real-time analytics processing capabilities into an era of unparalleled efficiency.

Kafka 81

Kafka Bytes Architecture Utilities 81

Pinterest Engineering

SEPTEMBER 26, 2023

We have published a detailed blog post of its modeling architecture. While it is blessed with an abundance of data for training, it is also crucial to maintain a high data storage efficiency. The process is captured in Figure 1. The data, model, deployment, and maintenance are handled with minimal human intervention.

Software Engineer 90

Software Engineer Software Engineering Machine Learning Datasets 90

Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Stream processing or an OLAP database? Kafka or Kinesis ? Open source or fully managed?

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Data Engineering Weekly

FEBRUARY 12, 2023

To begin, we partner with Pathway.com to launch a three-part series about unlocking stream processing , - where Pathway talks about applying linear regression & classification in real-time. Historical data processing is a rare event, where 99% of the computing happens over the last 24 hours of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Databand.ai

AUGUST 30, 2023

Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics. The goal of this strategy is to streamline the entire process of extracting insights from raw data by removing silos between teams and technologies.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. This blog is here to help you understand not only the basics but also the cool new ways and tools to make your data squeaky clean. What is Data Cleaning?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Picnic Engineering

DECEMBER 12, 2023

This blog post delves into the learnings and challenges on our journey towards implementing and scaling state-of-the-art deep learning approaches. For individual products and warehouses, the process might seem straightforward. 3) Even though your data is of high quality, the world can change.

Machine Learning 52

Machine Learning Deep Learning Food High Quality Data 52

DataKitchen

SEPTEMBER 21, 2023

L1 is usually the raw, unprocessed data ingested directly from various sources; L2 is an intermediate layer featuring data that has undergone some form of transformation or cleaning; and L3 contains highly processed, optimized, and typically ready for analytics and decision-making processes.

Raw Data 67

Raw Data Data Business Intelligence High Quality Data 67

Rockset

MARCH 1, 2023

The Challenge of Compute Contention At the heart of every real-time application you have this pattern that the data never stops coming in and requires continuous processing, and the queries never stop – whether they come from anomaly detectors that run 24x7 or end-user-facing analytics. So they are not suitable for real-time analytics.

Data Ingestion 144

Data Ingestion Database Architecture Cloud Storage 144

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. Testing and Data Observability. Process Analytics. DataOps is a hot topic in 2021.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Ascend.io

JUNE 8, 2023

However, transforming data into a product so that it can deliver outsized business value requires more than just a mission statement; it requires a solid foundation of technical capabilities and a truly data-centric culture. Good data stewardship and healthy data catalogs are worthwhile investments.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

phData: Data Engineering

JANUARY 3, 2022

In this post, we will explore the complexities involved with software engineering with a focus on data engineering and data operations (DataOps). We’ll work through the different facets of taking your data and extracting business value with the same rigor and process companies apply to product development. No problem!

IT 52

IT AWS Software Engineer Software Engineering 52

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

DataKitchen

JANUARY 23, 2023

What is data lineage? Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. It is used to understand the provenance of data and how it is transformed and to identify potential errors or issues. How does it compare?

Data Governance 52

Data Governance Government Data Pipeline Data 52