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 Machine Learning Database Design Metadata 147

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

Snowflake

APRIL 13, 2025

This autonomy is effective for managing complex and dynamic data environments and is further enhanced by the powerful data solutions from the Deloitte and Snowflake alliance. The need for agentic AI in data management Traditional data management methods are increasingly insufficient given the exponential data growth.

Data Management 88

Data Management Management Consulting Unstructured Data 88

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

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 54

Data Solutions Data Lake Database Data 54

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 Data Science Metadata 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 Python Architecture Machine Learning 130

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

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

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

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

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 Datasets 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 Engineering 52

Data Engineering Data Engineer 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 Healthcare Finance 91

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

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

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 120

Consulting Machine Learning Data Science Data Pipeline 120

Striim

DECEMBER 12, 2023

Exciting news is on the horizon as Striim proudly announces its Technology Partnership with YugabyteDB, a collaboration set to reshape the landscape of data management. As we embark on this thrilling journey, we share a vision of empowering organizations with the tools they need to thrive in a data-driven world.

Data Management 59

Data Management Database-centric Management PostgreSQL 59

The Modern Data Company

APRIL 12, 2023

The market’s technical talent shortage and the high demand for analytics experts can make it difficult for healthcare organizations to find and retain the in-house expertise they need to design, deploy, and maintain cutting-edge data solutions.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

Precisely

FEBRUARY 14, 2023

Together, data governance and data quality deliver the policies, processes, rules, and responsibilities that ensure the data used by claims operations is understood, clean, and current. In this eBook, we will explore some of the key capabilities that can help insurance carriers begin their data integrity journey.

Insurance 52

Insurance Management Data Governance Data Integration 52

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Precisely

JANUARY 6, 2023

Solution Page Environmental, Social, and Governance (ESG) Data Solutions Interested parties increasingly want to dive deeper and understand how the companies that they’re engaged with support ESG initiatives. See what that can mean for your organization. And no two organizations are the same.

Government 52

Government Education Data Integration Media 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

SEPTEMBER 25, 2023

Who is an Azure Data Engineer? As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. They are in charge of designing data storage systems that scale, perform, and are economical enough to satisfy the organization's requirements.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Precisely

MARCH 27, 2023

We help enterprise leaders deliver transformational results, focusing first on the “why” and then proceed to design and execution that helps them to attain a measurable ROI for an enterprise data strategy. We help companies design, implement, operationalize, and ultimately optimize their enterprise data solutions.

Consulting 52

Consulting Food Pharmaceutical Data Lake 52

Edureka

APRIL 14, 2025

Understanding the Tools One platform is designed primarily for business intelligence, offering intuitive ways to connect to various data sources, build interactive dashboards, and share insights. Its purpose is to simplify data exploration for users across skill levels. Conversely, the reporting tool shines in front-end customization.

BI 40

BI Business Intelligence Raw Data Retail 40

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, Azure Data Lake, Azure Blob Storage, Azure Cosmos DB, Azure Stream Analytics, Azure HDInsight, and other Azure data services are just a few of the many Azure data services that Azure data engineers deal with.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. More than 546,200 new roles related to big data will result from this.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Striim

FEBRUARY 8, 2024

Watch the video to learn how streaming operational data in real time helps American Airlines keep track of thousands of moving parts and ensure planes, team members, and customers depart and arrive safely and reliably, every time on every flight.

MongoDB 52

MongoDB Data Analytics Data Data Integration 52

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. This approach ensures that only processed and refined data is housed in the data warehouse, leaving the raw data outside of it. What Is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Precisely

FEBRUARY 14, 2023

Together, data governance and data quality deliver the policies, processes, rules, and responsibilities that ensure the data used by claims operations is understood, clean, and current. In this eBook, we will explore some of the key capabilities that can help insurance carriers begin their data integrity journey.

Insurance 52

Insurance Management Data Governance Government 52

Precisely

JULY 24, 2024

As Oracle phases out its advertising products by September 30, 2024, many brands are prioritizing the need for trusted and established data sources. Ensuring marketing strategies remain effective and compliant, without risking audience reach or data integrity, is a top priority.

IT 52

IT Accessible Accessibility Data Integration 52

Knowledge Hut

MARCH 20, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Striim

JULY 9, 2024

Trading data passed to Transaction window ML Integration and Usage Patterns with Striim Pipelines Integrating machine learning models with Striim pipelines allows us to enhance our analytics capabilities. In this example, we’ll use the sklearn Python library to train a model with day trading activity data.

Machine Learning 52

Machine Learning Python Data SQL 52

Striim

AUGUST 22, 2024

More often than not, you need a data pipeline that begins with data integration and then enables you to do several things to the data in-flight before delivery to the target. Therefore, another essential component for real-time data analytics is the infrastructure to handle real-time event processing.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Ascend.io

JULY 3, 2024

Today, we’ll break down the key benefits, best practices, and implementation strategies to enhance your data workflows with Dataops. DataOps, short for Data Operations, is an emerging discipline that combines data engineering, data integration, and data quality with agile methodologies and DevOps practices.

Data Workflow 52

Data Workflow Data Pipeline Data Data Engineering 52