Data Engineering Podcast

DECEMBER 8, 2019

We have partnered with organizations such as O’Reilly Media and the Python Software Foundation. Contact Info LinkedIn Website @KentGraziano on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Data Engineering Podcast

FEBRUARY 9, 2020

We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council. Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh. Is there any utility in data vault modeling in a data lake context (S3, Hadoop, etc.)?

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Less will be analysed.

Unstructured Data 96

Unstructured Data Pipeline-centric Database-centric Entertainment 96

ProjectPro

APRIL 27, 2016

Scott Gnau, CTO of Hadoop distribution vendor Hortonworks said - "It doesn't matter who you are — cluster operator, security administrator, data analyst — everyone wants Hadoop and related big data technologies to be straightforward. That’s how Hadoop will make a delicious enterprise main course for a business.

Hadoop 40

Hadoop Big Data Technology Kafka 40

Knowledge Hut

APRIL 23, 2024

Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Knowledge Hut

MAY 31, 2023

Artificial intelligence has had a profound impact on our daily lives, and we employ AI whenever you look through social media, open Spotify, or conduct a fast Google search. Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

APRIL 23, 2024

Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. Data warehousing offers several advantages. By structuring data in a predefined schema, data warehouses ensure data consistency and accuracy.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Snowflake

NOVEMBER 11, 2024

GPU-based model development and deployment: Build powerful, advanced ML models with your preferred Python packages on GPUs or CPUs serving them for inference in containers — all within the same platform as your governed data. Traditionally, SQL has been limited to structured data neatly organized in tables.

Unstructured Data 82

Unstructured Data SQL AWS Healthcare 82

Snowflake

DECEMBER 11, 2024

Sports organizations deploy significant resources to collect mountains of data on fans, players and more. Legacy systems, old approaches and segmented data can make it challenging to mine and maximize results from structured data, like ticket or merchandise purchase transactions, and unstructured data, like game footage.

Unstructured Data 63

Unstructured Data Government Media Data 63

AltexSoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

APRIL 23, 2024

Big Data Training online courses will help you build a robust skill-set working with the most powerful big data tools and technologies. Big Data vs Small Data: Velocity Big Data is often characterized by high data velocity, requiring real-time or near real-time data ingestion and processing.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

APRIL 23, 2024

Traditional tools and methods cannot effectively manage and analyze information gleaned from big data within a reasonable timeframe. These data sets consist of extensive and intricate data from diverse sources, including business transactions, social media interactions, and sensor data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Confluent

AUGUST 29, 2019

Instead of storing tables and columns, Neo4j represents all data as a graph, meaning that the data is a set of nodes with labels and relationships. Nodes are like our data entities (in this example, we use Person ). This approach to structuring data is called the property graph model. The sky’s the limit!

Kafka 55

Kafka Process Algorithm Cloud 55

Monte Carlo

NOVEMBER 21, 2024

Let’s set the scene: your company collects data, and you need to do something useful with it. Whether it’s customer transactions, IoT sensor readings, or just an endless stream of social media hot takes, you need a reliable way to get that data from point A to point B while doing something clever with it along the way.

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

Knowledge Hut

JUNE 28, 2023

In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. Focus Exploration and discovery of hidden patterns and trends in data.

Data Mining 52

Data Mining Business Intelligence BI Structured Data 52

Precisely

SEPTEMBER 6, 2023

To truly succeed in an increasingly data-driven world, organizations need data governance. Data governance is the formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset. The need for scalable data governance frameworks is growing.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data.

Database 52

Database NoSQL Management Relational Database 52

Zalando Engineering

NOVEMBER 6, 2017

Ana was always asking questions: What ways can data science add value to Zalando? How can data be leveraged in new ways? How can sense be made out of all the data being generated in the fashion ecosystem online? What new technologies should we be investigating ? Quality structured data is not easy to get in fashion.

Data Science 40

Data Science Deep Learning Media Machine Learning 40

Knowledge Hut

JANUARY 18, 2024

Most of the AI that surrounds us today is an application of weak AI, such as Facebook's recommended newsfeed, Amazon's suggested purchases, Apple Siri, and Amazon Alexa, the technology that answers users' spoken questions. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Towards Data Science

FEBRUARY 15, 2023

In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture. Spark: The definitive guide: Big data processing made simple. O’Reilly Media, Inc.” [2]

Data Lake 74

Data Lake Data Warehouse Hadoop Architecture 74

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Cloudera

OCTOBER 30, 2018

Structured data from operational data stores now provides a small slice of the overall data needed to improve customer experience. IT departments previously invested in MDM and data warehousing technologies to consolidate information associated with customer profiles. Source: 451 Research.

Unstructured Data 43

Unstructured Data Data Lake Algorithm Machine Learning 43

ProjectPro

SEPTEMBER 26, 2021

Several industries across the globe are using Big Data tools and technology in their processes and operations. According to a study, the Big Data market in the banking sector will reach $62.10 Healthcare is another primary application area of Big Data analytics , and its market will touch $67.82 billion by 2025.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

ProjectPro

SEPTEMBER 29, 2021

Artificial intelligence or AI is a broad term used to refer to any technology that can make machines think and learn from tasks and solve problems like humans. Applying Machine learning techniques to NLP problems would require converting unstructured text data into structured data ( usually tabular format).

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. This data needs to be seamlessly joined in the analytics he wants to provide to the researchers he will support. A Discovery Data Warehouse is cloud-agnostic.

Data Warehouse 60

Data Warehouse Unstructured Data Medical Pharmaceutical 60

Monte Carlo

MAY 28, 2024

Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture. Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

JANUARY 18, 2024

Consider the following as a step-by-step guide to understanding your customers: Step 1: Gather data. Data: Foundation of Business To trigger a total business transformation with cutting-edge technologies, Artificial Intelligence ( AI ), and other innovative solutions, you must first lay the groundwork, which data does.

Data Science 52

Data Science Data Media Food 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. How to Build an End-to-End Data Pipeline from Scratch?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

MARCH 18, 2024

They need to share information or perform certain tasks, but they're built with different technologies or programming languages, making direct communication difficult. It offers APIs that provide real-time weather data to websites for display. It is a message protocol specification for exchanging structured data.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. That is where Apache Hadoop and Apache Spark come in.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

APRIL 25, 2024

It refers to gathering and processing sizable amounts of data to produce insights that may be used by an organization to improve its various facets. Due to this, businesses from a variety of industries are concentrating on implementing this technology. The only component of this huge data analytics is data analytics.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

ProjectPro

JULY 22, 2016

The powerful data lake architecture leverages analytics capabilities for big data processing and helps businesses address operational challenges which were difficult to be solved using conventional data warehousing technologies. Data Lake Hadoop is considered as an evolution from the existing data architecture.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40