30+ Big Data Interview Questions
Analytics Vidhya
JANUARY 17, 2024
Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools.
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Analytics Vidhya
JANUARY 17, 2024
Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools.
David Menninger's Analyst Perspectives
OCTOBER 26, 2021
Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. The platform supports streaming data, SQL queries, graph processing and machine learning.
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O'Reilly on Data
FEBRUARY 11, 2019
Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.
David Menninger's Analyst Perspectives
JULY 20, 2022
We’ve recently published our latest Benchmark Research on Data Governance and it’s fair to say, “you’ve come a long way, baby.” We’ve learned a lot about cigarettes since then, and we’ve learned a lot about data governance, too.
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Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.
Smart Data Collective
FEBRUARY 23, 2021
However, while doing so, you need to work with a lot of data and this could lead to some big data mistakes. But why use data-driven marketing in the first place? When you collect data about your audience and campaigns, you’ll be better placed to understand what works for them and what doesn’t. Using Small Datasets.
erwin
FEBRUARY 13, 2020
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting.
CIO Business Intelligence
MARCH 24, 2023
Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.
Smart Data Collective
JULY 25, 2024
Mastering data governance in a multi-cloud environment is key! Delve into best practices for seamless integration, compliance, and data quality management.
TDAN
MAY 17, 2022
There is… but one… Data Governance. Maybe you are one who believes that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0,
DataKitchen
DECEMBER 7, 2021
Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean. If your data nerd leads a team of data nerds, big data projects, or aspires to one day, “Data Teams” is the book for them. ?? ???????. How did we get here? Author Laura B.
David Menninger's Analyst Perspectives
JANUARY 14, 2021
Organizations still struggle with limited data visibility and insufficient insights, which are often caused by a multitude of reasons such as analytic workloads running independently, data spread across multiple data centers, data governance, etc.
David Menninger's Analyst Perspectives
NOVEMBER 13, 2020
A data lake is a centralized repository designed to house big data in structured, semi-structured and unstructured form. I have been covering the data lake topic for several years and encourage you to check out an earlier perspective called Data Lakes: Safe Way to Swim in Big Data? for background.
AWS Big Data
FEBRUARY 29, 2024
Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.
erwin
APRIL 2, 2021
How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.
O'Reilly on Data
FEBRUARY 4, 2019
In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms. Deep Learning.
erwin
OCTOBER 31, 2019
The Regulatory Rationale for Integrating Data Management & Data Governance. Now, as Cybersecurity Awareness Month comes to a close – and ghosts and goblins roam the streets – we thought it a good time to resurrect some guidance on how data governance can make data security less scary.
DataKitchen
APRIL 13, 2021
We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs.
Octopai
JUNE 26, 2020
In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.
AWS Big Data
JANUARY 15, 2025
Data landscape in EUROGATE and current challenges faced in data governance The EUROGATE Group is a conglomerate of container terminals and service providers, providing container handling, intermodal transports, maintenance and repair, and seaworthy packaging services. Eliminate centralized bottlenecks and complex data pipelines.
CIO Business Intelligence
JUNE 14, 2023
Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.
Alation
OCTOBER 5, 2021
What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?
AWS Big Data
AUGUST 13, 2024
Amazon DataZone has announced a set of new data governance capabilities—domain units and authorization policies—that enable you to create business unit-level or team-level organization and manage policies according to your business needs. Data domains form a foundational pillar in data governance frameworks.
David Menninger's Analyst Perspectives
MAY 13, 2019
Organizations now must store, process and use data of significantly greater volume and variety than in the past.
Smart Data Collective
AUGUST 14, 2019
The healthcare sector is heavily dependent on advances in big data. The field of big data is going to have massive implications for healthcare in the future. Big Data is Driving Massive Changes in Healthcare. Big data analytics: solutions to the industry challenges. Big data capturing.
erwin
FEBRUARY 4, 2021
Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Regulations.
David Menninger's Analyst Perspectives
NOVEMBER 16, 2021
Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.
AWS Big Data
NOVEMBER 20, 2024
For example, one of our customers, Bristol Myers Squibb (BMS), leverages Amazon DataZone to address their specific data governance needs. This feature also supports metadata enforcement for subscription requests of a data product. For instructions on how to set this up, refer to Amazon DataZone data products.
AWS Big Data
NOVEMBER 22, 2024
This setup supports agile data processing while taking advantage of the serverless architecture of Athena to keep operational costs low. Compliance and data governance – For organizations managing sensitive or regulated data, you can use Athena and the adapter to enforce data governance rules.
David Menninger's Analyst Perspectives
JANUARY 15, 2021
Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.
AWS Big Data
DECEMBER 4, 2024
About the Authors Praveen Kumar is an Analytics Solutions Architect at AWS with expertise in designing, building, and implementing modern data and analytics platforms using cloud-based services. His areas of interest are serverless technology, data governance, and data-driven AI applications.
IBM Big Data Hub
JANUARY 23, 2023
If you’re in charge of managing data at your organization, you know how important it is to have a system in place for ensuring that your data is accurate, up-to-date, and secure. That’s where data governance comes in. What exactly is data governance and why is it so important?
DataKitchen
NOVEMBER 18, 2021
For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing. Methods to Avoid Burnout.
AWS Big Data
SEPTEMBER 26, 2024
If the text specifies “You” to perform this step, then it assumes that you are a Data Lake administrator with admin level access. In this solution you move your historical data into Amazon Simple Storage Service (Amazon S3) and apply data governance using Lake Formation.
IBM Big Data Hub
JUNE 22, 2020
IBM Watson Knowledge Catalog (WKC) provides a modern machine learning (ML) catalog for data discovery, data cataloging, data quality, and data governance.
Smart Data Collective
NOVEMBER 30, 2020
The GDPR and various state laws have forced companies to take a closer look at their data collection processes. The post Familiarize Yourself with the Legality of Data Accumulation Under New Data Governance Rules appeared first on SmartData Collective. You must follow these laws carefully to avoid running into trouble.
AWS Big Data
OCTOBER 10, 2023
Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.
AWS Big Data
DECEMBER 12, 2024
Amazon Neptune , as a graph database, is ideal for data lineage analysis, offering efficient relationship traversal and complex graph algorithms to handle large-scale, intricate data lineage relationships. The combination of these three services provides a powerful, comprehensive solution for end-to-end data lineage analysis.
datapine
MARCH 25, 2019
Build a data management roadmap. While, at this point, this particular step is optional (you will have already gained a wealth of insight and formed a fairly sound strategy by now), creating a data governance roadmap will help your data analysis methods and techniques become successful on a more sustainable basis.
IBM Big Data Hub
FEBRUARY 9, 2023
In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.
AWS Big Data
APRIL 29, 2024
The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS).
AWS Big Data
OCTOBER 29, 2024
However, the initial version of CDH supported only coarse-grained access control to entire data assets, and hence it was not possible to scope access to data asset subsets. This led to inefficiencies in data governance and access control.
AWS Big Data
DECEMBER 12, 2024
He has over 17 years of experience architecting, building, leading, and maintaining big data platforms. Rohit helps customers modernize their analytic workloads using the breadth of AWS services and ensures that customers get the best price/performance with utmost security and data governance.
erwin
JANUARY 17, 2020
In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.
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