Towards Data Science

FEBRUARY 6, 2024

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. This generalisation makes their data models complex and cryptic and require domain expertise. As you do not want to start your development with uncertainty, you decide to go for the operational raw data directly.

Systems 83

Systems Raw Data Metadata Data Cleanse 83

Data Engineering Podcast

JULY 5, 2021

Summary At the core of every data pipeline is an workflow manager (or several). Deploying, managing, and scaling that orchestration can consume a large fraction of a data team’s energy so it is important to pick something that provides the power and flexibility that you need.

Systems 100

Systems Management Data Warehouse Programming Language 100

Ascend.io

AUGUST 15, 2023

This same principle holds true in data management. It’s no surprise, then, that the quest for Fivetran alternatives is on the rise as organizations set their sights on a more holistic data approach. Defense: Saving Money with Intelligent Data Refresh In football, a solid defense does more than just stop goals.

Data Management 52

Data Management Management Data Ingestion Data Pipeline 52

Data Engineering Podcast

FEBRUARY 20, 2022

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. Interview Introduction (see Guy’s bio below) How did you get involved in the area of data management?

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

ProjectPro

FEBRUARY 16, 2023

With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. AWS refers to Amazon Web Service, the most widely used cloud computing system.

AWS 52

AWS Data Management ETL Tools Management 52

Data Engineering Podcast

SEPTEMBER 3, 2018

Summary With the proliferation of data sources to give a more comprehensive view of the information critical to your business it is even more important to have a canonical view of the entities that you care about. Can you start by establishing a definition of data mastering that we can work from?

Data Management 100

Data Management Management Relational Database Business Intelligence 100

InData Labs

DECEMBER 9, 2021

In today’s digitized medical landscape, effective treatment and better outcomes for patients depend on the smart use of medical data. Healthcare data management treats data as a powerful asset and improves health services. The rise of EHR/EMR systems also promotes more effective handling of patient data.

Healthcare 52

Healthcare Data Management Medical IT 52

Data Engineering Podcast

JULY 6, 2020

Summary There are an increasing number of use cases for real time data, and the systems to power them are becoming more mature. Once you have a streaming platform up and running you need a way to keep an eye on it, including observability, discovery, and governance of your data. That’s what the Lenses.io

Systems 100

Systems Kafka SQL Government 100

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle.

Technology 89

Technology Data Management Management Insurance 89

Data Engineering Podcast

APRIL 24, 2022

WhyLogs is a powerful library for flexibly instrumenting all of your data systems to understand the entire lifecycle of your data from source to productionized model. You have full control over your data and their plugin system lets you integrate with all of your other data tools, including data warehouses and SaaS platforms.

Machine Learning 100

Machine Learning Systems Data Lake Metadata 100

Data Engineering Podcast

DECEMBER 19, 2021

Summary Building a well managed data ecosystem for your organization requires a holistic view of all of the producers, consumers, and processors of information. The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data. No more scripts, just SQL.

Systems 100

Systems Building Metadata Data Warehouse 100

Knowledge Hut

APRIL 23, 2024

We live in a data-driven culture where familiarity with databases is crucial. Database management is crucial for businesses of all sizes to guarantee that their data is complete, safe, and easily available when needed. Why are Database Management Skills Important? In this section, we'll examine every skill in depth.

Database 52

Database Management Relational Database SQL 52

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Data engineering systems are complex and interconnected with myriad and often opaque chains of dependencies. As they scale, the problems of visibility and dependency management can increase at an exponential rate. Interview Introduction How did you get involved in the area of data management?

Systems 100

Systems Metadata Building MongoDB 100

Data Engineering Podcast

JULY 27, 2020

Summary A majority of the scalable data processing platforms that we rely on are built as distributed systems. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break. Can you start by describing what the Jepsen project is?

Systems 100

Systems Building Scala Java 100

Data Engineering Podcast

JANUARY 21, 2019

They discuss the challenges of being at global scale from the start, hiring and training talented engineers, prototyping and deploying new systems in the cloud, and what they have learned in the process. This is a useful conversation for engineers, managers, and leadership who are interested in building enterprise big data systems.

Big Data 100

Big Data Systems Building Hadoop 100

Data Engineering Podcast

JULY 20, 2020

Summary Wind energy is an important component of an ecologically friendly power system, but there are a number of variables that can affect the overall efficiency of the turbines. Michael Tegtmeier founded Turbit Systems to help operators of wind farms identify and correct problems that contribute to suboptimal power outputs.

Systems 100

Systems Manufacturing Machine Learning Algorithm 100

Rockset

MARCH 21, 2019

When we started Rockset, we envisioned building a powerful cloud data management system that was really easy to use. Making the data stack simpler is fundamental to making data usable by developers and data scientists. The data management should feel limitless.

SQL 52

SQL Data Management Management Engineering 52

Data Engineering Podcast

MAY 6, 2019

Summary The database market continues to expand, offering systems that are suited to virtually every use case. In this episode Ryan Worl explains how it is architected, how to use it for your applications, and provides examples of system design patterns that can be built on top of it. How are conflicts managed?

Systems 100

Systems MongoDB NoSQL Database 100

Knowledge Hut

JANUARY 9, 2024

As businesses are becoming more complex, the need for software systems that can help them manage their operations has taken the first place. As the demand for SAP is growing, SAP project managers with the right skills and experience are becoming a priority. Who is a SAP Project Manager and What do They Do?

Project 52

Project Management Certification Portfolio 52

ArcGIS

OCTOBER 17, 2023

This article covers what is coming and how you should prepare your data. The new U.S. datums of 2022 will soon be released.

Systems 141

Systems Data Data Management Government 141

Data Engineering Podcast

AUGUST 24, 2020

Summary In order to scale the use of data across an organization there are a number of challenges related to discovery, governance, and integration that need to be solved. The key to those solutions is a robust and flexible metadata management system. If you hand a book to a new data engineer, what wisdom would you add to it?

Metadata 100

Metadata Management Kafka Data Engineering 100

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 75

Metadata Data Governance Government Management 75

Cloudera

APRIL 25, 2019

As well as managing the UK’s currency, supply of money and interest rates, the institute has a diverse range of responsibilities including gathering and analyzing data from banks, building societies, credit unions, insurers and mortgage companies to inform policy decisions and guide UK government departments and international organizations.

Data Management 60

Data Management Banking Management Insurance 60

Data Engineering Podcast

JUNE 9, 2019

He also describes the Hydrosphere platform, and how the different components work together to manage the full machine learning lifecycle of model deployment and retraining. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference.

Machine Learning 100

Machine Learning Management Scala Data Science 100

Data Engineering Podcast

MARCH 29, 2021

They explain how they started down the path of building a solution for managing data quality, their philosophy of how to empower data engineers with well engineered open source tools that integrate with the rest of the platform, and how to bring all of the stakeholders onto the same page to make your data great.

Management 100

Management Data Warehouse BI Data Pipeline 100

Ascend.io

MARCH 6, 2023

Beside the usual bug fixes, this week’s release notes touch on upgrades in two essential capabilities: Observing costs of running data pipelines in the connected data planes Configuring network connections to other systems via the SDK Let’s take a quick look at these in turn.

Management 52

Management Data Pipeline Data Ingestion Cloud 52

Ascend.io

MARCH 6, 2023

Beside the usual bug fixes, this week’s release notes touch on upgrades in two essential capabilities: Observing costs of running data pipelines in the connected data planes Configuring network connections to other systems via the SDK Let’s take a quick look at these in turn.

Management 52

Management Data Pipeline Data Ingestion Cloud 52

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Government Management 52

Data Engineering Podcast

JUNE 29, 2020

This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of high quality data from collection to analysis. If you hand a book to a new data engineer, what wisdom would you add to it? Can you describe how your overall data management system is architected?

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Data Engineering Podcast

JULY 27, 2021

Datastax has recently introduced a new managed offering for Pulsar workloads in the form of Astra Streaming that lowers those barriers and make stremaing workloads accessible to a wider audience. What are some of the supporting systems that are necessary to power that workflow?

Building 100

Building Management Kafka Data Warehouse 100

ArcGIS

MARCH 9, 2023

Learn about differences between subnetwork system diagrams and standard diagrams to decide whether system diagrams are relevant for you

Systems 65

Systems Utilities Telecommunication Data Management 65

Data Engineering Podcast

APRIL 22, 2018

Summary The information about how data is acquired and processed is often as important as the data itself. For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. What is OctopAI and what was your motivation for founding it?

Business Intelligence 113

Business Intelligence Metadata Management Data Governance 113

Snowflake

APRIL 8, 2024

BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data. Implentio Implentio is a centralized tool that helps ecommerce ops and finance teams efficiently and cost-effectively manage fulfillment and logistics spending.

Pipeline-centric 125

Pipeline-centric Food Healthcare Unstructured Data 125

Knowledge Hut

APRIL 23, 2024

For example, in 1880, the US Census Bureau needed to handle the 1880 Census data. They realized that compiling this data and converting it into information would take over 10 years without an efficient system. Thus, it is no wonder that the origin of big data is a topic many big data professionals like to explore.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Knowledge Hut

JANUARY 18, 2024

The opportunities are endless in this field — you can get a job as an operation analyst, quantitative analyst, IT systems analyst, healthcare data analyst, data analyst consultant, and many more. A Python with Data Science course is a great career investment and will pay off great rewards in the future. Choose data sets.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Edureka

MAY 6, 2024

MLOps is an emerging discipline that aims to unify and streamline the machine learning system development (Dev) and operations (Ops) lifecycle. MLOps refers to the practice and discipline within machine learning that aims to unify and streamline machine learning system development (Dev) and operations (Ops).

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Knowledge Hut

DECEMBER 26, 2023

Cybersecurity is defending sensitive data and important systems from online threats. To safeguard your data and systems, it's crucial to have a collection of cybersecurity tools and techniques at your disposal. Usually, the management regulates who has access to data, networks, and computer systems.

Hospitality 98

Hospitality Finance Electronics Retail 98