Data Engineering Weekly

MARCH 3, 2024

This approach led to a successful expansion of Copilot access across the engineering team, resulting in a significant increase in productivity and adoption, demonstrating a commitment to enhancing developer experience while maintaining safety and security standards.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Data Engineering Podcast

SEPTEMBER 14, 2020

Tree Schema is a data catalog that is making metadata management accessible to everyone. 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.

Process 100

Process Unstructured Data Metadata Data Engineering 100

Knowledge Hut

NOVEMBER 2, 2023

Professionals can define event triggers and code without administering servers, with scalability occurring automatically based on demand. Professionals deploy databases, manage credentials and access, and integrate with other AWS services or applications.

AWS 52

AWS Coding Cloud Project 52

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 95

Insurance Transportation Unstructured Data Manufacturing 95

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

Our latest report highlights the impact of bad data on your bottom line (did you know that poor data quality impacts 31% of revenue?!) Access the Report Kaushik Muniandi: Text-Based Search - From Elastic Search to Vector Search Last month or so, I experimented with vector search with embedding.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

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

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. What are the advantages of Streaming Analytics?

Hospitality 93

Hospitality Kafka Retail Data Ingestion 93

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 91

Retail Unstructured Data Big Data Machine Learning 91

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. Cube provides APIs to achieve this goal.

Cloud 52

Cloud BI Data Warehouse Business Intelligence 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? Provides perimeter security.

Cloud Storage 66

Cloud Storage Unstructured Data AWS Analytics Application 66

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

Knowledge Hut

APRIL 12, 2023

Virtual Hard Drives: Azure offers virtual hard drives (VHDs) that offer a significant amount of data storage. VHDs are extensions of virtual machines used for storing large amounts of data. When you sign up for Azure, you can access all the services that are available on the Azure portal. How Does Microsoft Azure Work?

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 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

Knowledge Hut

JUNE 26, 2023

When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

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. Integrating with APIs and endpoints in a secure way is now possible with external network access, now in private preview.

Pipeline-centric 56

Pipeline-centric Programming Language Government Python 56

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

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

SEPTEMBER 26, 2023

With the responsibility of enforcing resource access controls and threat protection policies, you have a key job role. You should also be familiar with Azure App Service, which enables easy deployment and scaling of web apps, and Azure Functions, a serverless compute service that executes code in response to events.

Cloud Computing 52

Cloud Computing Certification Cloud Database 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. What is a data fabric?

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

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. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

JULY 29, 2022

This consistency promotes data integrity, so you can trust the insights to make informed decisions. Additionally, data warehouses are great at offering historical intelligence. However, organizations today are moving beyond just batch analytics on historical data. So, it’s not real-time data. Pricing starts at $0.25

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

Knowledge Hut

JULY 26, 2023

These datasets typically involve high volume, velocity, variety, and veracity, which are often referred to as the 4 v's of Big Data: Volume: Volume refers to the vast amount of data generated and collected from various sources. Managing and analyzing such large volumes of data requires specialized tools and technologies.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

NOVEMBER 16, 2023

The increased accessibility of online professional courses and authentic study resources has contributed significantly to bringing up the number of skilled workforces. More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits.

IT 52

IT Software Engineer Software Engineering Cloud Computing 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 for leveraging analytics.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

Edureka

JULY 18, 2023

These techniques add an additional degree of security and make it more difficult for unauthorised people to access private user accounts. maintain secure access and stop unauthorised actions, these systems continuously analyse device behaviour, spot possible risks, and implement security measures.

Banking 40

Banking Algorithm Media Machine Learning 40

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

Rockset

MARCH 19, 2020

Over the last decade however, the online nature of our world has led rise to a different paradigm of data generation in which there is no well defined start or end to the data. This shift in the way we think about our input data has necessitated a similar shift in how we process it.

Kafka 40

Kafka Database Process SQL 40

Knowledge Hut

MAY 31, 2023

You can then create your own models within your codebase, allowing you to access and manipulate your database directly from Python when needed - whether that means fetching records or adding or updating them. Here is a link to source codes for Online Job Portal using Python and SQL databases.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

APRIL 3, 2023

Relational databases use a tabular structure to organize data, while NoSQL databases are designed to handle large volumes of unstructured data. Object-oriented databases store data as objects, and hierarchical and network databases organize data in a tree-like structure.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

Snowflake

JUNE 28, 2023

Python Unstructured Data Processing (PuPr) – Unstructured data processing is now natively supported with Python. External Network Access (PrPr) – Allows users to seamlessly connect to external endpoints from their Snowpark code (UDFs/UDTFs and Stored procedures) while maintaining high security and governance.

Python 52

Python Accessible Accessibility Pipeline-centric 52

U-Next

OCTOBER 27, 2022

You will have access to Jigsaw Learning Centre (JLC) even after the program is complete, so you can continue to gain knowledge. . This program will teach Data Science and Analytics from both a technical and business perspective. Keep Learning: The learning you do should not have an expiration date!

Cloud Computing 40

Cloud Computing Data Science Certification Machine Learning 40

ProjectPro

JANUARY 28, 2022

Such anomalous events can be connected to some fault in the data source, such as financial fraud, equipment fault, or irregularities in time series analysis. This is especially useful in unstructured data like images where anomalies could be any type of image other than the one trained on the model.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

ProjectPro

NOVEMBER 14, 2015

Hadoop Common houses the common utilities that support other modules, Hadoop Distributed File System (HDFS™) provides high throughput access to application data, Hadoop YARN is a job scheduling framework that is responsible for cluster resource management and Hadoop MapReduce facilitates parallel processing of large data sets.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

AUGUST 6, 2015

Organizations in every industry are increasingly turning to Hadoop, NoSQL databases and other big data tools to attain customer delight which in turn will reap financial rewards for the business by outperforming the competition.81% 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 52

Knowledge Hut

MAY 3, 2024

Spark can access diverse data sources and make sense of them all and hence it’s trending in the market over any other cluster computing software available. The results can be combined with data from other sources like social media profiles, product reviews on forums, customer comments, etc.

Scala 98

Scala Hadoop Healthcare Big Data 98

Scott Logic

NOVEMBER 6, 2023

We may also note a difference between data that communicates changes to state like a user’s address vs event data (e.g. user clicks) vs data that provides a continually changing time-series value like a stock price or the current latency of an API. Machine learning use cases may also want a rich history of data.

Data Lake 52

Data Lake Kafka BI Unstructured Data 52