ProjectPro

JANUARY 27, 2023

Top 7 Data Science Applications in Finance Financial technology, or FinTech, refers to the use of technology by providers of financial services to optimize the usage and delivery of their services to customers. Start your journey as a Data Scientist today with solved end-to-end Data Science Projects 4.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

Cloudera

AUGUST 4, 2021

I will talk more about Predictive Maintenance in the Public Sector and how government agencies are optimizing equipment maintenance with data insight during Cloudera’s Industry Event on August 5. images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Knowledge Hut

APRIL 23, 2024

Below are some of the differences between Traditional Databases vs big data: Parameters Big Data Traditional Data Flexibility Big data is more flexible and can include both structured and unstructured data. Traditional Data is based on a static schema that can only work well with structured data.

Big Data 52

Big Data Relational Database Data Datasets 52

Data Engineering Podcast

SEPTEMBER 14, 2020

With Tree Schema you can create your data catalog and have it fully populated in under five minutes when using one of the many automated adapters that can connect directly to your data stores. Go to dataengineeringpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today!

Process 100

Process Unstructured Data Metadata Data Engineering 100

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. No one at YES BANK was operating with a full 360-degree customer view. .

Unstructured Data 70

Unstructured Data Banking Machine Learning Media 70

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . All forms of data!

Unstructured Data 80

Unstructured Data Data Warehouse Pharmaceutical MySQL 80

Data Engineering Weekly

MARCH 3, 2024

[link] Rippling: Engineering a SIEM: Rippling's security data lakehouse and modular design The two-part series from Rippling details their journey of building a custom Security Information and Event Management (SIEM) system, emphasizing an engineering-first approach for enhanced security and operational efficiency.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. I often hear this at industry events and in conversations with insurers.

Insurance 94

Insurance Transportation Unstructured Data Manufacturing 94

Knowledge Hut

MAY 2, 2024

Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark. Let’s look at some of the use cases in a few of these organizations.

Scala 52

Scala Hospitality Healthcare Retail 52

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases.

Hospitality 92

Hospitality Kafka Retail Data Ingestion 92

Knowledge Hut

NOVEMBER 2, 2023

Professionals can define event triggers and code without administering servers, with scalability occurring automatically based on demand. Creating a Data Lake with Amazon S3 and AWS Glue Difficulty Level: Intermediate to Advanced A modern data management project is like constructing a data lake to store and process massive datasets.

AWS 52

AWS Coding Cloud Project 52

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). What does DDE entail? Before you Get Started.

Cloud Storage 67

Cloud Storage Unstructured Data AWS Analytics Application 67

Knowledge Hut

APRIL 26, 2024

Let's take a look at all the fuss about data science , its courses, and the path to the future. What is Data Science? In order to discover insights and then analyze multiple structured and unstructured data, Data Science requires the use of different instruments, algorithms and principles.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Data Engineering Weekly

JUNE 4, 2023

[link] KOHO: Handling Schema Evolution in the Data Pipelines at KOHO Schema management at the data ingestion service and the DLQ (Dead Letter Queue) pattern is emerging as the standard architecture pattern in event processing. Koho writes about its architecture to handle DLQ and schema management.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Cloudera

JANUARY 5, 2021

Streaming or real-time data from on-vehicle sensors, shelf, or point of sale are leveraged along with historical archives of consumer purchase behavior or inventory stock levels. Including new data sources like demand signals (e.g.

Retail 90

Retail Unstructured Data Big Data Machine Learning 90

Snowflake

JUNE 28, 2023

To make it even easier to process data with Snowpark Python UDFs and Stored Procedures, we have added support for Python 3.9 and unstructured data support, now in public preview. To enhance the security and governance of code in Snowflake, we also added granular allowlists and blocklists for Python packages in private preview.

Pipeline-centric 57

Pipeline-centric Programming Language Python Government 57

Knowledge Hut

SEPTEMBER 28, 2023

Ops develops, implements, and evaluates procedures to respond to operational events and to support business needs. Security: AWS architect skills to safeguard data, systems, and assets is a component of the security pillar that enables you to use cloud computing to enhance your security.

AWS 52

AWS Cloud Computing Architecture Utilities 52

Knowledge Hut

MAY 31, 2023

Stock prediction aims to use AI to build models that can analyze historical stock data, spot patterns and trends, and forecast future prices. Several variables can impact stock prices, including news events, market mood, and economic data. This can be one of the artificial intelligence topics for the project.

Project 96

Project Healthcare Deep Learning Transportation 96

AltexSoft

MAY 12, 2022

Systems like Audio Analytic ‘listen’ to the events inside and outside your car, enabling the vehicle to make adjustments in order to increase a driver’s safety. It offers a non-invasive type of remote patient monitoring to detect events like falling. Audio data file formats. Audio data preparation.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Cloud Academy

NOVEMBER 6, 2022

At Cloud Academy , we manage a lot of data every day. We have different sources we get data from such as feedback, events, and platform usage, and we need to get it, apply transformations, and finally present the data to our internal stakeholders and our customers.

Cloud 52

Cloud BI Data Warehouse Business Intelligence 52

AltexSoft

AUGUST 29, 2023

Unstructured data sources. This category includes a diverse range of data types that do not have a predefined structure. Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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

Knowledge Hut

JUNE 26, 2023

Using big data, we are able to transform unstructured data, such as customer reviews, into actionable insights, which enables businesses to better understand how and why customers prefer their products or services and to make improvements to their operations as quickly as is practically possible.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

JANUARY 30, 2024

Time-Series Data: Extracting time-series data is vital for applications like forecasting, trend analysis, and anomaly detection. This can include historical stock prices, temperature records, or time-stamped events. Multimedia Data: Data extraction is not limited to text and numbers; it can also include images, audio, and video.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

APRIL 12, 2023

Azure Functions: Azure Functions is a serverless compute service that allows users to run event-driven, serverless applications in the cloud. With this service, communication only occurs between the enterprise network and the targeted service, ensuring secure and efficient data transfer.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. It not only consumes more memory but also slackens data transfer.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

DareData

JULY 5, 2023

We've seen this happen in dozens of our customers: data lakes serve as catalysts that empower analytical capabilities. If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. And what is the reason for that?

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Monte Carlo

MAY 31, 2022

Vimeo’s data team operates on a massive scale of more than 85 billion events per month. It is important for the team to push data as near real-time as possible and ensure its reliability. Vimeo is a leading video hosting, sharing, and services platform provider.

BI 52

BI Data Warehouse Unstructured Data Data Schemas 52

Cloudera

SEPTEMBER 15, 2022

July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. A key area of focus for the symposium this year was the design and deployment of modern data platforms.

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Knowledge Hut

JANUARY 22, 2024

Check out the Data Science course fee to start your journey. Why is Data Science So Important? Data is not useful until it is transformed into valuable information. Mining large datasets containing structured and unstructured data and identifying hidden patterns to gain actionable insights are two main tasks in data science.

Data Science 52

Data Science Banking Big Data Insurance 52

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons Hadoop can store close to 1 trillion files using enterprise class storage processing layer.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

Data Engineering Weekly

OCTOBER 23, 2022

Oh, a humble request to the Data Catalog vendors, Please abstain from the poll ❤️ Rittman Analytics: The dbt Semantic Layer, Data Orchestration, and the Modern Enterprise Data Stack It has been an eventful last week for dbt with Coalesce conference.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Knowledge Hut

NOVEMBER 16, 2023

More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits. A data scientist is a person expert in analytics, especially gathering and evaluating large chunks of structured and unstructured data to find trends and proper data management.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

Rockset

MARCH 22, 2022

For example, ksqlDB can connect to a Kafka topic that accepts unstructured data. However for ksqlDB to query this data, the schema of the underlying data needs to be defined upfront. On the other hand, modern analytics databases like Rockset allow the data to be ingested into a collection without defining the schema.

Database 52

Database Kafka Transportation Unstructured Data 52

U-Next

SEPTEMBER 23, 2022

Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Probabilities and likelihoods are used in diagnostic analytics to comprehend the potential causes of events. Cognitive analytics searches the whole “knowledge base” at their disposal to find real-time data.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

OCTOBER 26, 2023

Once you upload a CSV file to S3, an S3 event is triggered. Orchestrate Redshift ETL using AWS Glue and Step Functions In this project, build an ETL Big Data pipeline using Amazon Redshift to extract business insights from the stored data. Amazon Lambda is closely linked to the S3 service in this project.

AWS 52

AWS Coding Project Cloud Computing 52