Towards Data Science

MAY 19, 2023

Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. The data team is constantly burning out and has a high employee turnover. Stakeholders fail to see the ROI behind expensive data initiatives.

Pipeline-centric 104

Pipeline-centric Data Software Engineering Software Engineer 104

Cloudera

DECEMBER 13, 2023

Data was hidden in silos and line-of-business teams were using multiple data management and analytics tools, many of which were not used to their full capability. To realize this cohesive data vision, LGIM adopted Cloudera Data Platform (CDP) Public Cloud.

Pipeline-centric 89

Pipeline-centric Professional Services BI Datasets 89

The Modern Data Company

DECEMBER 29, 2022

This means moving beyond product-centric thinking to a data-driven customer experience model that’s consistent across all channels. Next, the wealth management industry is also shifting away from a product focus to a client-centric model. DataOS is the world’s first operating system.

Banking 52

Banking Pipeline-centric Building Finance 52

The Modern Data Company

JULY 29, 2024

The limited reusability of data assets further exacerbates this agility challenge. Already operating at capacity, data teams often find themselves repeating efforts, rebuilding similar data pipelines and models for each new project. As businesses grow and evolve, their data needs expand exponentially.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you? Part 1: Why did we need to build our own SIEM?

Data Engineering 67

Data Engineering Data Engineer Engineering Pipeline-centric 67

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is the role of a Data Engineer? Data scientists and data Analysts depend on data engineers to build these data pipelines.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Monte Carlo

MARCH 28, 2024

In a nutshell, DataOps engineers are responsible not only for designing and building data pipelines, but iterating on them via automation and collaboration as well. But these figures are considerably higher than what the site lists for Data Specialists, and around $10,000 higher than the average salary of a Data Manager.

Engineering 75

Engineering Pipeline-centric BI Google Cloud 75

Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. .” “We are setting a new industry benchmark for what enterprises should expect from their data management solutions,” added Anibal Abarca, Wizeline CTO & Chief AI Officer. “Our collaboration with Ascend.io

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

U-Next

AUGUST 17, 2022

Data must be comprehensive and cohesive, and Data Engineers are best at this task with their set of skills. Skills Required To Be A Data Engineer. SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Assess the needs and goals of the business.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

NOVEMBER 2, 2023

For those aspiring to build a career within the Azure ecosystem, navigating the choices between Azure Data Engineers and Azure DevOps Engineers can be quite challenging. Azure Data Engineers and Azure DevOps Engineers are two critical components of the Azure ecosystem for different but interconnected reasons.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Ascend.io

APRIL 27, 2023

Going into the Data Pipeline Automation Summit 2023, we were thrilled to connect with our customers and partners and share the innovations we’ve been working on at Ascend. The summit explored the future of data pipeline automation and the endless possibilities it presents.

Data Pipeline 52

Data Pipeline Pipeline-centric Data Validation Data Engineering 52

AltexSoft

JUNE 7, 2021

Main users of Hive are data analysts who work with structured data stored in the HDFS or HBase. Data management and monitoring options. Among solutions facilitation data management are. It also provides tools for statistics, creating ML pipelines, model evaluation, and more. Spark limitations.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Data Engineering Weekly

APRIL 16, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. DoorDash writes about its journey to build a Metric Layer for experimentation.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Monte Carlo

JULY 15, 2024

While your friendly neighborhood IT professional is busy making sure the servers don’t catch fire, the data owner is more concerned with making sure the data doesn’t metaphorically set your business strategy ablaze. Who Can Be a Data Owner?

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 52

Snowflake

AUGUST 21, 2023

In this blog post, we’ll review the core data mesh principles, highlight how both organizations and modern data platforms are putting those principles into action, and demonstrate just how achievable a secure and efficient data mesh architecture can be. It’s also crucial that teams consider the price tag of the data mesh.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Ascend.io

OCTOBER 20, 2023

The Nuances of Snowflake Costing Snowflake’s pricing strategy is an exemplification of its user-centric approach: pay for what you use. The Predictability of Pipelines In stark contrast to ad-hoc queries, pipelines are where cost optimization efforts can yield significant dividends.

Pipeline-centric 52

Pipeline-centric IT Data Pipeline Bytes 52

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

DECEMBER 16, 2021

In contrast, a machine learning engineer is a data professional who makes the AI/ML system available for a set of customers or organizations, ready to make predictions. Data Scientist - Roles and Responsibilities There is a bursting myth among many data science aspirants; they think it is all about Machine Learning.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Monte Carlo

NOVEMBER 14, 2023

This is the world that data orchestration tools aim to create. Data orchestration tools minimize manual intervention by automating the movement of data within data pipelines. According to one Redditor on r/dataengineering, “Seems like 99/100 data engineering jobs mention Airflow.”

Pipeline-centric 40

Pipeline-centric Google Cloud Python Data Workflow 40

Knowledge Hut

NOVEMBER 27, 2023

At the forefront of cloud technology is the Google Cloud Platform (GCP), a robust and versatile suite of tools and services designed to enable businesses to build, deploy, and scale their applications with ease and efficiency. GCP prioritizes security, and it provides powerful safeguards to secure data and maintain regulatory compliance.

Google Cloud 52

Google Cloud Cloud Cloud Computing Pipeline-centric 52

Databand.ai

DECEMBER 29, 2022

He believes in making data do the work through proper data management based on strategic rationale and business alignment. On LinkedIn, he posts frequently about big data, master data, data science, data management, and data storytelling.

BI 52

BI Consulting Data Science Data Governance 52

Knowledge Hut

SEPTEMBER 26, 2023

Azure provides the infrastructure and tools necessary to build, deploy, and manage applications and services efficiently. Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. What is Azure Synapse? What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

phData: Data Engineering

JULY 18, 2023

Why Migrate to a Modern Data Stack? With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. The combination of these technologies has become collectively known as the Modern Data Stack.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Ascend.io

NOVEMBER 14, 2023

Read More: Data Pipeline Automation: The What, How, and Why The Responsibilities of the CAIO Given the complex and multifaceted nature of AI, it is imperative for organizations to delineate clear responsibilities for this crucial role. The CAIO is the vanguard of data privacy and security for the new AI-based capabilities.

Pipeline-centric 52

Pipeline-centric Government Technology Recruitment 52

Knowledge Hut

JULY 26, 2023

Better Data Management: Database management solutions offered by backend tools enable developers to quickly store, retrieve, and alter data. Increased Security: Backend solutions include security features and protocols that aid web application developers in creating secure websites and safeguarding sensitive data.

Database-centric 52

Database-centric Programming Language Pipeline-centric Database 52

Knowledge Hut

JANUARY 30, 2024

Use Case Essential for data preprocessing and creating usable datasets. Types of data you can extract Data extraction is a fundamental process in the realm of data management and analysis, encompassing the retrieval of specific, relevant information from various sources.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

NOVEMBER 15, 2023

Skills: Python , TensorFlow, MySQL , Analytics, Machine Learning, Strategic Planning, and Data Management. Example 5: Data Scientist looking for a demanding role having the highest degree of self-motivation. Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges.

Finance 98

Finance Certification Database-centric Business Intelligence 98

RandomTrees

NOVEMBER 29, 2023

Kimball’s dimensional modelling or the star schema and Inmon’s normalized or snowflake needs to be overseen in a very high perspective to address the above all and for this we get into an approach of OLAP cubes where the data is viewed in different cubical perspectives. So, what is a data vault model or modelling approach?

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

AltexSoft

JULY 18, 2023

With its native support for in-memory distributed processing and fault tolerance, Spark empowers users to build complex, multi-stage data pipelines with relative ease and efficiency. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Directed Acyclic Graph (DAG).

Big Data 52

Big Data Data Process Process Hadoop 52

Knowledge Hut

JULY 7, 2023

Project-Based Full-Stack Developer Bootcamp KnowledgeHut's Full-Stack Development Course would help you gain a comprehensive understanding of building, deploying, securing, and expanding software applications. As a server-side web framework written in Python, Django empowers developers to build web applications swiftly and efficiently.

Certification 52

Certification MongoDB Database-centric Programming 52

Knowledge Hut

JULY 11, 2023

Project-Based Full-Stack Developer Bootcamp KnowledgeHut's Full-Stack Development Course would help you gain a comprehensive understanding of building, deploying, securing, and expanding software applications. As a server-side web framework written in Python, Django empowers developers to build web applications swiftly and efficiently.

Certification 40

Certification MongoDB Database-centric Programming 40

Cloudera

NOVEMBER 21, 2024

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. A New Level of Productivity with Remote Access The new Cloudera Data Engineering 1.23 Jupyter, PyCharm, and VS Code). Ready to Explore?

Pipeline-centric 85

Pipeline-centric Data Engineering Data Engineer Engineering 85

Precisely

JANUARY 6, 2025

Organizations leveraging real-time data can make faster, data-driven decisions, optimize processes, and accelerate time-to-market. Your ability to deliver seamless, personalized, and timely experiences is key to success in our modern customer-centric landscape. With seamless access to all relevant customer data.

Data Architecture 59

Data Architecture Architecture Pipeline-centric Banking 59

Precisely

MAY 1, 2025

My first path centered on data strategy and management, teaching me that trusted data delivers great business outcomes. As a data management practitioner, I built and scaled data quality, master data management, and data governance solutions for a variety of organizations.

Pipeline-centric 52

Pipeline-centric Education Data Governance Government 52