Data Engineering Podcast

FEBRUARY 26, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

Building 147

Building Metadata Machine Learning Data 147

Precisely

MARCH 6, 2023

Solution Page Environmental, Social, and Governance (ESG) Data Solutions Financial Services organizations increasingly want to dive deeper and understand how the companies that they’re engaged with support ESG initiatives. Data governance is often a very manual – or at least a very siloed process, frequently led by IT programs.

Data Integration 52

Data Integration Government Data Governance Datasets 52

Data Engineering Podcast

MARCH 5, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

Building 147

Building Database Design Metadata Machine Learning 147

DataKitchen

NOVEMBER 10, 2023

Implement a communication protocol that swiftly informs stakeholders, allowing them to brace for or address the potential impacts of the data change. Building a Culture of Accountability: Encourage a culture where data integrity is everyone’s responsibility.

Data Solutions 55

Data Solutions Data Lake Data Database 55

Precisely

MARCH 14, 2023

Then, data clouds from providers like Snowflake and Databricks made deploying and managing enterprise-grade data solutions much simpler and more cost-effective. Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms.

Data Integration 52

Data Integration High Quality Data BI Data 52

Grouparoo

AUGUST 24, 2021

The State of Customer Data The Modern Data Stack is all about making powerful marketing and sales decisions and performing impactful business analytics from a single source of truth. Customer Data Integration makes this possible. In fact, only 34% of marketing teams feel satisfied with their customer data solutions 1.

Data Integration 52

Data Integration Data Consolidation Data Warehouse ETL Tools 52

Data Engineering Podcast

MARCH 18, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

Data Security 130

Data Security Machine Learning Metadata Data Science 130

Data Engineering Podcast

MARCH 25, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

MySQL 130

MySQL Architecture Machine Learning Metadata 130

ProjectPro

JUNE 6, 2025

Apache NiFi is an open-source tool that offers an intuitive interface and robust data integration features, making it an excellent choice for those looking for open-source solutions. AWS Glue and Azure Data Factory are cloud-based ETL services offered by Amazon Web Services and Microsoft Azure.

ETL Tools 45

ETL Tools AWS Data Validation Big Data 45

Ascend.io

DECEMBER 4, 2024

DataOps emphasizes automation, version control, and streamlined workflows to reduce the time it takes to move data from ingestion to actionable insights. This helps data teams deliver small, frequent updates rather than large, disruptive changes. Data Quality Management: Ensure data quality as data volumes grow.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

ProjectPro

JUNE 6, 2025

A report by ResearchAndMarkets projects the global data integration market size to grow from USD 12.24 This growth is due to the increasing adoption of cloud-based data integration solutions such as Azure Data Factory. What is Azure Data Factory? billion in 2020 to USD 24.84

Data Lake 60

Data Lake Metadata SQL Datasets 60

Data Engineering Podcast

FEBRUARY 19, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

IT 147

IT Data Lake Metadata Data Warehouse 147

Teradata

MAY 30, 2025

Introduction to Teradata VantageCloud Lake on AWS Teradata VantageCloud Lake, a comprehensive data platform, serves as the foundation for our data mesh architecture on AWS. The data mesh architecture Key components of the data mesh architecture 1.

AWS 52

AWS Architecture Building Amazon Web Services 52

ProjectPro

JULY 3, 2015

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. “A doption is the only option.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

JUNE 6, 2025

Zero ETL Components Zero ETL Benefits Zero ETL Use Cases AWS Zero ETL Integrations Learn Building Scalable Zero ETL Data Pipelines with ProjectPro! Zero-ETL refers to a modern approach that simplifies data integration by reducing or eliminating the need for traditional ETL (Extract, Transform, Load) pipelines.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

ProjectPro

JUNE 6, 2025

To succeed in this field, one should have a solid understanding of AWS and data engineering principles. What Does an AWS Data Engineer Do? An AWS data engineer, for example, is in charge of preserving data integrity and building data models to collect information from various sources.

AWS 45

AWS Data Engineer Data Engineering Amazon Web Services 45

Precisely

JANUARY 6, 2025

Thats where the concept of data streaming pipelines comes into play. Read the eBook Streaming Legacy Data for Real-Time Insights Read this eBook to learn more about the challenges to streaming legacy data. By reducing the time needed to integrate and analyze data, you can capitalize on market opportunities faster.

Data Architecture 59

Data Architecture Architecture Pipeline-centric Banking 59

Ascend.io

DECEMBER 4, 2024

DataOps emphasizes automation, version control, and streamlined workflows to reduce the time it takes to move data from ingestion to actionable insights. This helps data teams deliver small, frequent updates rather than large, disruptive changes. Data Quality Management: Ensure data quality as data volumes grow.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

ProjectPro

JUNE 6, 2025

The AWS Big Data Analytics Certification exam holds immense significance for professionals aspiring to demonstrate their expertise in designing and implementing big data solutions on the AWS platform. Industry Recognition: AWS Data Analytics related certifications are well-regarded and well-recognized in the industry.

Big Data 40

Big Data AWS Certification Hadoop 40

Christophe Blefari

OCTOBER 20, 2023

Why data integration will never be fully solved — Anna covers a few data integration tools and tries to explain why this is such a tricky field that have issue to be resolved with only one cloud tool. With synthetic data you can then publicly seek for help among the world's data scientists.

Generalist 130

Generalist Entertainment NoSQL Data 130

Edureka

APRIL 22, 2025

In 2025, this blog will discuss the most important data engineering trends, problems, and opportunities that companies should be aware of. Exponential Growth in AI-Driven Data Solutions This approach, known as data building, involves integrating AI-based processes into the services.

Data Engineer 52

Data Engineer Data Engineering Engineering Consulting 52

Cloudera

SEPTEMBER 18, 2024

Unique Data Integration and Experimentation Capabilities: Enable users to bridge the gap between choosing from and experimenting with several data sources and testing multiple AI foundational models, enabling quicker iterations and more effective testing.

Datasets 91

Datasets Retail Finance Healthcare 91

ProjectPro

JUNE 6, 2025

Utilize Delta Lakes For Reliable And Scalable Data Storage Delta Lake is a data lake storage format that offers ACID (Atomicity, Consistency, Isolation, Durability) transactions. Think of Delta Lakes as the superhero for data integrity and reliability in Databricks pipelines! FAQs on Data Engineering Best Practices 1.

Data Workflow 40

Data Workflow Data Engineer Data Engineering Data Cleanse 40

ProjectPro

JUNE 6, 2025

Understanding the Azure DP 203 Certification The Azure DP-203 certification is a professional credential offered by Microsoft that validates the knowledge and skills required to design and implement data solutions on the Azure platform. Join the Best Data Engineering Course to Learn from Industry Leaders!

Certification 40

Certification Data Storage Big Data Data Engineer 40

Precisely

JANUARY 12, 2023

In terms of Precisely, we’re a leader in data integrity – that is, data with accuracy, consistency, and context. To us, that leadership obligation extends to ethical data stewardship. We don’t have direct relationships with individual data subjects, rather, we’re providing tools to support that data integrity vision.

Government 80

Government Data Integration Data Programming 80

ProjectPro

JUNE 6, 2025

." - David Linthicum, Chief Cloud Strategy Officer at Deloitte Consulting LLP Data modelers are big data experts and systems analysts who design database architectures and propose innovative data solutions to transform complex business data into usable computer systems.

NoSQL 40

NoSQL ETL Tools Certification SQL 40

ProjectPro

JUNE 6, 2025

Emerging markets like India and the US are investing heavily in Big Data, providing ample opportunities for international experience. What does a Big Data Developer do? A Big Data Developer plays a crucial role in data engineering, focusing on developing, implementing, and maintaining Big Data solutions.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. Snowflake allows data to be examined and cleaned immediately, assuring data integrity.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

phData: Data Engineering

NOVEMBER 1, 2024

Chief Technology Officer, Information Technology Industry Survey respondents specified easier risk management and more data access to personnel as the top two benefits organizations can expect from moving data into a cloud platform. Systems should include alerts to flag any changes or anomalies that could affect data integrity.

Government 52

Government Data Governance Finance Metadata 52

ProjectPro

JUNE 6, 2025

Azure Databricks vs. Databricks: A Comparison of Data Solutions Azure Synapse vs. Databricks Azure Data Factory vs. Databricks Azure Databricks Project Ideas Master Azure Databricks with Industry-Grade Solved Projects by ProjectPro FAQs on Azure Databricks What is Azure Databricks? When Not to Use Azure Databricks?

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

This immediate data ingestion and processing allow for real-time monitoring and decision-making, enhancing user experience and operational efficiency in the ride-sharing service. It is popular for its versatility and ease of use, making it suitable for batch and streaming data ingestion scenarios.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Additionally, you will learn how to use Apache Hadoop to retrieve data and write real-time queries in Apache Hive. Source Code: Designing a Hadoop Architecture Apache Kafka Apache Kafka is a distributed streaming open-source framework used for large-scale data integration, real-time data pipelines, and stream processing.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

ProjectPro

JUNE 6, 2025

Moreover, data scientists should be skilled in leveraging AWS SDKs (Software Development Kits) and APIs to integrate their solutions seamlessly with AWS services. Data Engineering and Data Integration A proficient AWS data scientist should possess robust data engineering skills.

AWS 40

AWS Amazon Web Services Cloud Computing Machine Learning 40

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines.

Consulting 121

Consulting Machine Learning Government Data Science 121

ProjectPro

JUNE 6, 2025

Over 3 billion monthly searches, 2,400+ unique apps and add-ons, and 1,000+ unique data integrations make SPLUNK ‘the big data solution for the hybrid world’! Splunk is an outstanding tool for exploring, monitoring, analyzing, and acting on your data.

Big Data Tools 40

Big Data Tools Big Data Cloud Data 40

ProjectPro

JUNE 6, 2025

Its powerful data integration is its key selling point; it works well with cloud sources like Google and Facebook analytics, text files, SQL servers, and Excel. Businesses can benefit significantly from the tool as they can access all of the company's data assets with Power BI since it combines data from several sources.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

With this knowledge, they can design efficient data pipelines, automate data transformation, and ensure data quality and accuracy, which benefits their organization's data-driven initiatives. Suppose a cloud data engineer completes a course that covers Google Cloud BigQuery and its cost-effective pricing model.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45