Data Engineering Podcast

MAY 26, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Can you start by sharing some of your experiences with data migration projects? Closing Announcements Thank you for listening! Don't forget to check out our other shows.

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Monte Carlo

MAY 20, 2024

On the other hand, a data catalog aims to provide a macro view of an organization’s data landscape. It emphasizes discoverability, accessibility, and governance of data assets, promoting an integrated approach to data management across multiple platforms and stakeholders.

Datasets 52

Datasets Government Data Business Analyst 52

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques.

Big Data 52

Big Data Datasets Data Analysis Media 52

ThoughtSpot

MARCH 5, 2024

While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management. Snowflake's new dynamic tables feature redefines how BI and analytics teams approach data transformation pipelines.

BI 94

BI Datasets Raw Data SQL 94

Ascend.io

FEBRUARY 15, 2024

A common hurdle that many data engineering teams face is how to choose the right data replication strategy. This article breaks down the complexities of data replication strategies in a way that’s easy to understand. Why are Data Replication Strategies Important?

Datasets 52

Datasets Database Data Warehouse Data 52

Towards Data Science

FEBRUARY 6, 2024

As you do not want to start your development with uncertainty, you decide to go for the operational raw data directly. Accessing Operational Data I used to connect to views in transactional databases or APIs offered by operational systems to request the raw data. Does it sound familiar?

Systems 79

Systems Raw Data Metadata Data Cleanse 79

Databand.ai

MAY 30, 2023

Here are several reasons data quality is critical for organizations: Informed decision making: Low-quality data can result in incomplete or incorrect information, which negatively affects an organization’s decision-making process. A complete dataset allows for more comprehensive analysis and decision-making.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Cloudera

DECEMBER 13, 2023

He is responsible for introducing common tools and processes and enhancing the technology, tools and data available to employees, empowering them to use their expertise and creativity in innovative ways. LGIM’s data ecosystem had become fragmented over time as it had grown.

Pipeline-centric 89

Pipeline-centric Professional Services Datasets BI 89

Cloudera

DECEMBER 20, 2023

Those models are trained or augmented with data from a data management platform. The data management platform, models, and end applications are powered by cloud infrastructure and/or specialized hardware. Then they can build the application on CML using frameworks like Flask.

Amazon Web Services 71

Amazon Web Services AWS Machine Learning Datasets 71

Snowflake

APRIL 22, 2024

Remarkably, the entire dataset with over 1.2 Account replication also empowers consistent application of all privileges and grants on various objects, thereby maintaining data integrity and preventing unauthorized access. PBs was replicated in just one day.

AWS 70

AWS Cloud Storage Cloud Technology 70

Monte Carlo

MAY 24, 2024

“We take data quality very seriously,” said André Gonzalez, Data Manager, Eureciclo. “If If bad data was sent to a regulatory agency, that would create issues for us.” Overcoming Early Obstacles With Monte Carlo Unity Catalog enabled André and his team to democratize data access while also managing permission controls.

Government 52

Government Data Governance Data Datasets 52

Towards Data Science

NOVEMBER 4, 2023

Indeed, datalakes can store all types of data including unstructured ones and we still need to be able to analyse these datasets. You can change these # to conform to your data. DATASET = 'staging' #'analytics' TABLE_NAME = 'recommendation_bespoke' # GCS bucket names and region, can also be changed.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

Databand.ai

AUGUST 30, 2023

Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content. Accelerated Decision-Making In today’s fast-paced business environment, where decisions need to be made quickly based on accurate information, having access to reliable and trustworthy data becomes crucial.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Can you describe what League of Legends is and the role that data plays in the experience?

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Databand.ai

AUGUST 30, 2023

This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. Data profiling: Regularly analyze dataset content to identify inconsistencies or errors. Additionally, high-quality data reduces costly errors stemming from inaccurate information.

Building 52

Building Data Cleanse Data Governance Datasets 52

Knowledge Hut

MARCH 27, 2024

These are the situations where having a lot of data stored in one location and being able to access it quickly are necessary. What is a Data Structure? Using a data structure allows you to efficiently arrange data on a computer. Flexibility: Offers scalability to manage extensive datasets efficiently.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Snowflake

APRIL 18, 2024

Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Snowflake allows security teams to store all their data in a single platform and maintain it all in a readily accessible state, with virtually unlimited cloud data storage capacity.

Data Lake 80

Data Lake Data Ingestion Bytes Cloud Computing 80

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Striim

MAY 1, 2024

UPS Capital recognizes the challenges faced by its customers in securing their package delivery ecosystem and is harnessing digital capabilities and data access to redefine traditional approaches, ensuring improved customer experiences and combating shipping loss.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Monte Carlo

JANUARY 5, 2024

It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Data Engineering Podcast

AUGUST 14, 2021

He discusses the inefficiencies that teams run into from having to reprocess data multiple times, his work on the open source Hub library to solve this problem for everyone, and his thoughts on the vast potential that exists for using computer vision to solve hard and meaningful problems. What do you have planned for the future of Activeloop?

Unstructured Data 100

Unstructured Data Machine Learning Data Lake SQL 100

Knowledge Hut

APRIL 23, 2024

Why are Database Management Skills Important? In the current digital era, data has become a crucial asset for businesses in all industries. Effective data management is essential for businesses to make informed decisions, enhance customer experiences, and acquire a competitive edge.

Database 52

Database Management Relational Database SQL 52

Christophe Blefari

NOVEMBER 11, 2022

In the end why data management should be different than config management—ok, except from the scale? The end-game dataset. It means that every game can be capture as a dataset, with a known schema in a immutable storage accessible for everyone.

BI 130

BI Data Warehouse Data Database 130

Snowflake

JUNE 13, 2023

Learn how tesa, one of the world’s leading manufacturers of adhesive tapes and self-adhesive product solutions, combines more than 30 datasets to improve operations and take advantage of IoT technology – all through Snowflake’s Data Cloud. We can load and transform data much faster than before.”

Cloud 52

Cloud Manufacturing Datasets Scala 52

Data Engineering Podcast

FEBRUARY 3, 2019

In this episode Eric Kansa describes how they process, clean, and normalize the data that they host, the challenges that they face with scaling ETL processes which require domain specific knowledge, and how the information contained in connections that they expose is being used for interesting projects. That’s one of the bottle necks.

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Knowledge Hut

MARCH 18, 2024

Because of the ability to provide quick search operations that are space efficient as well the Trie data structure serves some critical aspects of its importance as follows: Fast Search Operations: The Trie facilitates efficient search, insert, and delete operations of the string in the dataset.

Datasets 52

Datasets Data Utilities Designing 52

Knowledge Hut

JANUARY 25, 2024

What is Data Cleaning? Data cleaning, also known as data cleansing, is the essential process of identifying and rectifying errors, inaccuracies, inconsistencies, and imperfections in a dataset. It involves removing or correcting incorrect, corrupted, improperly formatted, duplicate, or incomplete data.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Knowledge Hut

APRIL 23, 2024

Gradually, data storage and processing systems evolved, and today, we see it in one of its most advanced forms, the cloud. Early Challenges and Limitations in Data Handling The history of data management in big data can be traced back to manual data processing—the earliest form of data processing, which makes data handling quite painful.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

DataKitchen

MAY 10, 2024

This blog post explores the challenges and solutions associated with data ingestion monitoring, focusing on the unique capabilities of DataKitchen’s Open Source Data Observability software. This process is critical as it ensures data quality from the onset.

Data Ingestion 52

Data Ingestion Transportation High Quality Data Data Schemas 52

Knowledge Hut

MAY 23, 2024

Data science professionals are scattered across various industries. This data science tool helps in digital marketing & the web admin can easily access, visualize, and analyze the website traffic, data, etc., A lot of MNCs and Fortune 500 companies are utilizing this tool for statistical modeling and data analysis.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

Knowledge Hut

MARCH 22, 2024

On the other hand, in non-linear data structures, the elements do not form a sequence. The choice between using a linear or non-linear data structure depends on the access patterns needed for the application. A data structure is a scheme for organising data in the memory of a computer so that it can be used efficiently.

Algorithm 52

Algorithm Data Datasets Accessible 52

Data Engineering Podcast

MAY 22, 2022

With an eye to making data workflows more accessible to everyone in an organization Raj Bains and his team at Prophecy designed a powerful and extensible low-code platform that lets technical and non-technical users scale data flows without forcing everyone into the same layers of abstraction.

Scala 100

Scala SQL Data Data Workflow 100

Knowledge Hut

APRIL 23, 2024

Infrastructure Required to Manage Data Big data management can often prove to be complicated and expensive. Smaller and more cost-effective ways of managing data. Let us now take a detailed look into how Big Data differs from Traditional relational databases.

Big Data 52

Big Data Relational Database Data Datasets 52

The Modern Data Company

MARCH 1, 2024

Data Products work similarly, offering pre-packaged, actionable data units tailored to specific business goals. We will delve into the world of Data Products, exploring their transformative potential for CDOs and data teams. Data Products simplify access and processing, empowering faster decision-making.

Database-centric 40

Database-centric Data Lake Government Retail 40

Data Engineering Weekly

MAY 5, 2024

The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset. link] LinkedIn: LakeChime - A Data Trigger Service for Modern Data Lakes LinkedIn points out two critical flaws in a partitioned approach to data management.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67