Data Analytics Data Architect Data Solutions 
AltexSoft
FEBRUARY 11, 2023
This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? Let’s discuss and compare them to avoid misconceptions.
Knowledge Hut
NOVEMBER 28, 2023
Along with the data science roles of a data analyst, data scientist, AI, and ML engineer, business analyst, etc, data architect is also one of the top roles in the data science field. Who is a Data Architect? This increased the data generation and the need for proper data storage requirements.
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DataKitchen
APRIL 13, 2021
DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Amaterasu — is a deployment tool for data pipelines.
Knowledge Hut
DECEMBER 26, 2023
Big Data Engineer/Data Architect With the growth of Big Data, the demand for Data Architects has also increased rapidly. Data Architects, or Big Data Engineers, ensure the data availability and quality for Data Scientists and Data Analysts.
Edureka
FEBRUARY 7, 2023
Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization.
Monte Carlo
MAY 29, 2024
He’ll also share his experience building a common Snowflake data service across multiple business units serving enterprise, business line data products, and Cisco acquisitions seamlessly using Snowflake and its ecosystem of tools to improve data quality and reliability. Find more info about the session here.
Knowledge Hut
SEPTEMBER 26, 2023
Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.
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