Ascend.io

DECEMBER 11, 2023

Data orchestration is the process of efficiently coordinating the movement and processing of data across multiple, disparate systems and services within a company. It automates and optimizes data processes, reducing manual effort and the likelihood of errors. But let’s step back for a second.

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52

Netflix Tech

NOVEMBER 20, 2023

IPS provides the incremental processing support with data accuracy, data freshness, and backfill for users and addresses many of the challenges in workflows. IPS enables users to continue to use the data processing patterns with minimal changes. A snapshot can contain data files from different partitions.

Process 84

Process Data Pipeline Datasets SQL 84

AltexSoft

NOVEMBER 7, 2022

Before we start, all those who are new to data engineering can watch our video explaining its general concepts. How data engineering works. Apache Airflow is an open-source Python -based workflow orchestrator that enables you to design, schedule, and monitor data pipelines. Metadata database.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Databand.ai

AUGUST 30, 2023

These experts will need to combine their expertise in data processing, storage, transformation, modeling, visualization, and machine learning algorithms, working together on a unified platform or toolset.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Obviously, Big Data processing involves hundreds of computing units.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? It is like a smart scheduler for your data workflows.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

AltexSoft

SEPTEMBER 21, 2023

These indices are specially designed data structures that map out the data for rapid searches, allowing for the retrieval of queries in milliseconds. As a result, Elasticsearch is exceptionally efficient in managing structured and unstructured data. Fluentd is a data collector and a lighter-weight alternative to Logstash.

Engineering 52

Engineering NoSQL Programming Language Java 52

Ascend.io

MARCH 17, 2023

Results React drastically reduced design time and load time, while boosting application performance. Automation Yields High-Leverage Capabilities In the examples above, automation based on a new type of controller designed for each domain is the key to unlocking unprecedented efficiency.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Ascend.io

MARCH 17, 2023

Results React drastically reduced design time and load time, while boosting application performance. Automation Yields High-Leverage Capabilities In the examples above, automation based on a new type of controller designed for each domain is the key to unlocking unprecedented efficiency.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Databand.ai

DECEMBER 29, 2022

Sudhir has built and led several high performing, global data teams and designed several interfaces and services across Microsoft and Google cloud products. She’s also the co-author of “Mothers of Data Science” with Kate Strachnyi (someone who’s also on this list). Follow Jon on LinkedIn 20) Ann K.

BI 52

BI Consulting Data Science Data Governance 52

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