Knowledge Hut

JUNE 26, 2023

Since there are numerous ways to approach this task, it encourages originality in one's approach to data analysis. Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. Source: Use Stack Overflow Data for Analytic Purposes 4.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

JUNE 16, 2023

Data preparation: Because of flaws, redundancy, missing numbers, and other issues, data gathered from numerous sources is always in a raw format. After the data has been extracted, data analysts must transform the unstructured data into structured data by fixing data errors, removing unnecessary data, and identifying potential data.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

APRIL 20, 2023

Parameters Cybersecurity Data Science Expertise Protects computer systems and networks against unwanted access or assault. Deals with Statistical and computational approaches to extract knowledge and insights from structured and unstructured data.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Rockset

JULY 29, 2022

However, the data via its streaming API insert isn’t available for two to three minutes. So, it’s not real-time data. Amazon Redshift Amazon Redshift cloud data warehouse is a fully-managed SQL analytics service. It analyzes structured and unstructured data from other warehouses, operational databases, and data lakes.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

ProjectPro

JUNE 1, 2017

Hadoop distribution providers can mitigate these issues to a certain extent , however a better alternative is to use managed services from Azure, AWS and Google Cloud Platform. Several other organizations that have opted for Google Cloud Platform include HSBC, Qubit, and Ocado.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

Knowledge Hut

APRIL 12, 2023

With this service, communication only occurs between the enterprise network and the targeted service, ensuring secure and efficient data transfer. Microsoft Azure Competition Microsoft Azure competes with several other cloud computing platforms, including Amazon Web Services (AWS) and Google Cloud Platform (GCP).

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Ascend.io

AUGUST 31, 2023

For example, unlike traditional platforms with set schemas, data lakes adapt to frequently changing data structures at points where the data is loaded , accessed, and used. These fluid conditions require unstructured data environments that natively operate with constantly changing formats, data structures, and data semantics.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Knowledge Hut

MARCH 19, 2024

With its extensive range of cloud services, Amazon Web Services (AWS) has completely changed the way businesses run. Organisations demonstrate how AWS has revolutionized their operations by enabling scalability, cost-efficiency, and innovation through many case studies. What are AWS Case Studies, and Why are They Important?

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

ProjectPro

DECEMBER 21, 2021

Data Modeling Analyzing unstructured data models is one of the key responsibilities of a machine learning career, which brings us to the next required skill- data modeling and evaluation. Having a solid knowledge of data modeling concepts is essential for every machine learning professional.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

MARCH 20, 2024

Data Engineer The design, building, and management of the data infrastructure that underpins data-driven applications are the responsibilities of a data engineer. Cloud architects are well-versed in various cloud service providers, including Google Cloud Platform, Microsoft Azure, and Amazon Web Services (AWS).

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

NOVEMBER 7, 2023

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Monte Carlo

MARCH 28, 2024

In 2021, Vimeo moved from a process involving big complicated ETL pipelines and data warehouse transformations to one focused on data consumer defined schemas and managed self-service analytics. And, of course, experience in data analytics, pipelines, or other forms of data management is vital.

Pipeline-centric 75

Pipeline-centric Engineering BI Google Cloud 75

Cloudera

JUNE 9, 2022

Companies use CDF-PC for diverse data distribution use cases ranging from cybersecurity analytics and SIEM optimization via streaming data collection from hundreds of thousands of edge devices, to self-service analytics workspace provisioning and hydrating data into lakehouses (e.g:

Data Collection 95

Data Collection Data Lake Unstructured Data Retail 95

Snowflake

SEPTEMBER 21, 2023

The data driving the provider’s application is stored and processed in the provider’s own Snowflake account. Beyond delivering powerful analytical experiences, providers differentiate their products by offering live, ready-to-query data to their customers through the Snowflake Data Cloud.

Google Cloud 85

Google Cloud Unstructured Data Technology Data 85

Monte Carlo

JUNE 14, 2023

At the moment, this tight integration is possible because most zero-ETL architectures require both the transactional database and data warehouse to be from the same cloud provider. Some examples include AWS ( Aurora to Redshift ), GCP ( BigTable to BigQuery ) and Snowflake ( Unistore ).

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

DECEMBER 22, 2023

Statistics are used by data scientists to collect, assess, analyze, and derive conclusions from data, as well as to apply quantifiable mathematical models to relevant variables. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Monte Carlo

JUNE 26, 2023

Why the Lakehouse Needs Data Observability Data lakes create a ton of unique challenges for data quality. Data lakes often contain larger datasets than what you’d find in a warehouse, including massive amounts of unstructured data that wouldn’t be possible in a warehouse environment.

Data Lake 52

Data Lake Metadata Bytes Google Cloud 52

Knowledge Hut

FEBRUARY 7, 2023

Data Science on Google cloud platform Google Cloud is one of the best data science learning platforms. It offers all of the tools data scientists need to unlock value from data. Google enables users to get Google Cloud hosting at the cheapest rates.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. What are the different modes of deployment available on the Cloud? E.g. AWS Cloud Connect.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

MARCH 27, 2024

Qubole Using ad-hoc analysis in machine learning, it fetches data from a value chain using open-source technology for big data analytics. Qubole provides end-to-end services in moving data pipelines with reduced time and effort. Configure Azure, AWS, and Google Cloud services simultaneously.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

AUGUST 24, 2021

Salary of Data Engineers Data Engineering Tools Skills Required to Become a Data Engineer Responsibilities of a Data Engineer FAQS on Data Engineering Projects Data Engineering Projects List There are a few data-related skills that most data engineering practitioners must possess.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Edureka

FEBRUARY 9, 2023

Data Warehousing: The process of collecting, storing, and managing large amounts of data in a centralised repository, such as a data warehouse, to support business intelligence and decision-making processes is referred to as data warehousing. Can be used to store static files, such as images and videos, used on the blog.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

DataKitchen

APRIL 13, 2021

AWS Code Deploy. AWS Code Pipeline. Google Cloud Build . . A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. AWS Code Commit – A fully-managed source control service that hosts secure Git-based repositories. DBMaestro — DevOps for the database.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

ProjectPro

JANUARY 24, 2023

These benefits compel businesses to adopt cloud data warehousing and take their success to the next level. Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Google Cloud NLP is Google’s cloud offering for natural language processing tasks, which includes a robust named entity recognition system that can identify and classify entities within text.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Confluent

MARCH 4, 2019

Different data problems have arisen in the last two decades, and we ought to address them with the appropriate technology. We need something that can handle large amounts of data, something that can handle unstructured data coming from logs and social media, and data in their native form.

Cloud 88

Cloud Banking Kafka NoSQL 88

Monte Carlo

JANUARY 25, 2023

Because of their pre-packaged functionality and strong support for SQL, data warehouses are ideal for data analytics teams and business users who want to facilitate fast, actionable querying and insights and don’t plan to make costly and engineering-intensive changes to their warehouse in the near-term.

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

OCTOBER 20, 2021

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

MAY 31, 2021

This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow. Project Objective: Understand the end-to-end implementation of Machine learning operations (MLOps) by using cloud computing.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

DECEMBER 15, 2021

Source: Google Cloud Blog. Amazon SageMaker Autopilot: building models for one-click deployment on AWS. AWS started adding AutoML capabilities to its SageMaker platform in 2019. Then, selected models can be deployed in one click into the AWS production environment or you may further iterate them in SageMaker Studio.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.

Scala 64

Scala Data Lake BI Google Cloud 64

Monte Carlo

AUGUST 19, 2023

Google BigQuery – Google’s cloud warehouse, BigQuery, provides a serverless architecture that allows for quick querying due to parallel processing, as well as separate storage and compare for scalable processing and memory. They also recently acquired Apache Flink , another streaming solution.

Building 52

Building BI Data Lake Data Governance 52