AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Healthcare Programming 52

AltexSoft

AUGUST 29, 2023

If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. Data lake on AWS. Enterprise-grade security. Integration and versatility.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

APRIL 25, 2024

Data management The process of obtaining, storing, and using data in a cost-effective, effective, and secure way is known as data management. As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Cloudera

MAY 28, 2024

Behind every business decision, there’s underlying data that informs business leaders’ actions. Modern data architectures deliver key functionality in terms of flexibility and scalability of data management.

Data Architecture 89

Data Architecture Architecture Data Lake Data Warehouse 89

Precisely

MAY 1, 2023

Virtually every enterprise on the planet invests heavily in data. Integration, data quality, data governance, location intelligence, and enrichment are driving trust and delivering value. How can organizations maximize their ROI on their investments in data integrity?

Food 52

Food Consulting Pharmaceutical Manufacturing 52

Knowledge Hut

JANUARY 18, 2024

Together, automation and DataOps are transforming the way businesses approach data analytics, making it faster, more accurate, and more efficient. Data Specialists’ Shortages Will Create Challenges in Data Management The demand for data specialists is rapidly increasing as data volumes continue to grow.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Data Engineering Podcast

MARCH 18, 2019

In this episode Chris Bergh, head chef of Data Kitchen, explains how DataOps differs from DevOps, how the industry has begun adopting DataOps, and how to adopt an agile approach to building your data platform. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference.

Data Lake 100

Data Lake Machine Learning Manufacturing Deep Learning 100

Monte Carlo

AUGUST 30, 2023

You can enable the storage of test failures in your `dbt_project.yml` file by adding the following configuration: ```yaml test: +store_failures: true ``` Keep in mind that retaining these records does incur more storage cost and management resources, so make sure to clean the stored failure tables regularly. Also, remember data governance.

SQL 52

SQL Datasets Database High Quality Data 52

U-Next

AUGUST 11, 2022

Motives For Working As A Data Analyst In 2022. Data analysts have to be able to collaborate effectively with others and effectively convey complicated results to members of the team, company leads, and partners. Influence the Future Data Analysts. Data Management for the Company Gets Even Harder: .

Data Analytics 40

Data Analytics Data Machine Learning Data Science 40

Snowflake

MARCH 28, 2023

And manufacturers start to monetize connected products. The topline impact The ubiquitousness of connected devices and sensors represents a massive opportunity for manufacturers to generate new revenue streams, capture market share, and fuel growth. AI has become more democratized. 5G adoption supports streaming and micro batches.

Manufacturing 52

Manufacturing Entertainment Transportation Insurance 52

AltexSoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Databand.ai

JANUARY 24, 2023

DataOps is an automated, process-oriented methodology used by analytics and data teams to improve quality and reduce the cycle times of data and analytics. The goal of DataOps is to deliver value faster by creating predictable delivery and change management of data, data models, and related artifacts.”

Retail 52

Retail Banking Government Manufacturing 52

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Invest in data governance.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Monte Carlo

JANUARY 12, 2024

Real-time, automated decision making Machine learning (ML) and artificial intelligence (AI) are already being successfully employed in industries like healthcare, for detection and diagnosis, and manufacturing, where intelligent systems track wear and tear on parts.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

ProjectPro

MAY 1, 2018

(Source : [link] ) Zoomlion using Cloudera to boost big data platform.Telecomasia.net, April 13, 2018. Zoomlion, the chinese construction machinery and sanitation equipment manufacturer adopted Cloudera’s big data platform to serve its growing big data needs. that incorporated the streaming analytics manager tool.

Hadoop 40

Hadoop Banking Healthcare Food 40