ProjectPro

FEBRUARY 8, 2023

ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization. The role of an ETL developer is to extract data from multiple sources, transform it into a usable format and load it into a data warehouse or any other destination database.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

APRIL 25, 2023

Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

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

Databand.ai

JULY 19, 2023

ELT offers a solution to this challenge by allowing companies to extract data from various sources, load it into a central location, and then transform it for analysis. The ELT process relies heavily on the power and scalability of modern data storage systems. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Knowledge Hut

SEPTEMBER 6, 2023

Discover how these certifications can empower your career, from mastering cutting-edge database technologies to ensuring data security and compliance, providing you with a competitive edge in the digital age. Skills acquired : Core data concepts. Concept of structured, semi-structured, and unstructured data.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

DECEMBER 7, 2023

Core idea in DevOps is that security is a duty that must be shared by IT managers and software developers, with DevOps processes frequently incorporating automated security chores. Power BI vs DevOps: Security Features Power BI: At the dataset level, Power BI offers data security.

BI 52

BI Business Intelligence Datasets Data Analysis 52

AltexSoft

NOVEMBER 10, 2021

The DW nature isn’t the best fit for complex data processing such as machine learning as warehouses normally store task-specific data, while machine learning and data science tasks thrive on the availability of all collected data. Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

NOVEMBER 15, 2021

Companies like Yandex, CloudFare, Uber , eBay, Spotify have preferred Clickhouse owing to its performance, scalability, reliability, and security. It was built from the ground up for interactive analytics and can scale to the size of Facebook while approaching the speed of commercial data warehouses.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 31, 2022

Snowflake puts all data on a single high-performance platform by bringing data in from many locations, reducing the complexity and delay imposed by standard ETL processes. Snowflake allows data to be examined and cleaned immediately, assuring data integrity. Data security, as data is not accessible by humans.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

AltexSoft

MAY 12, 2023

Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository. Once the unstructured data has been collected, the next step is to store and process this data effectively. Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

phData: Data Engineering

JULY 18, 2023

Key Benefits and Features of Using Snowflake Data Sharing: Easily share data securely within your organization or externally with your customers and partners. Zero Copy Cloning: Create multiple ‘copies’ of tables, schemas, or databases without actually copying the data.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

APRIL 20, 2023

Squatch VP of Data, IT & Security, Nick Johnson. Data integration and modeling In previous eras, data models like Data Vault were used to manually create full visibility into data lineage. This is where data lineage can help you scope and plan your migration waves.

Data Warehouse 52

Data Warehouse BI Government Data 52