Dataversity

MAY 26, 2023

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

Monitoring 130

Monitoring Data Warehouse Data Quality Data Governance 130

Dataversity

MARCH 28, 2023

Data integration processes benefit from automated testing just like any other software. Yet finding a data pipeline project with a suitable set of automated tests is rare. Even when a project has many tests, they are often unstructured, do not communicate their purpose, and are hard to run.

Data Quality 130

Data Quality Data Architecture 130

Smart Data Collective

SEPTEMBER 17, 2020

Big data is utilized in many facets of business. One of the most important benefits of data analytics with lead generation and optimization. Many experts agree that big data is reinventing the art of lead generation. There are a number of benefits of integrating data analytics into the lead pipeline.

Data Analytics 262

Data Analytics Data Analytics Predictive Analytics Big Data 262

Smart Data Collective

JULY 26, 2020

Data pipelines have been crucial for brands in a number of ways. In March, Hubspot talked about the shift towards incorporating big data into marketing pipelines in B2B campaigns. “A However, it is important to use the right data pipelines to leverage these benefits.

Big Data 273

Big Data Retail 273

Dataversity

DECEMBER 14, 2020

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

Data Warehouse 147

Data Warehouse Big Data Data Architecture Data Management 147

Dataversity

JUNE 26, 2023

The same expectation applies to data, […] The post Leveraging Data Pipelines to Meet the Needs of the Business: Why the Speed of Data Matters appeared first on DATAVERSITY. Today, businesses and individuals expect instant access to information and swift delivery of services.

Data Quality 130

Data Quality Data Governance Data Architecture Government 130

Simplilearn

DECEMBER 12, 2022

Our digital world churns out gigs of data daily, information that’s essential for governments to function, for businesses to thrive, and for us to get the correct thing we ordered (including the right color) from our favorite online marketplace. Read More.

Government 290

Government Digital 290

Astera

JUNE 13, 2023

Data pipelines are a fundamental element in today’s technology landscape, providing seamless data movement and valuable insights for businesses. In this article, we will explore the concept of data pipelines, their key components, and the various use cases and benefits they offer. What is a Data Pipeline?

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

JUNE 13, 2023

In today’s data-centric society, organizations are constantly seeking efficient and reliable ways to process and analyze vast amounts of information. This is where the concept of a data pipeline comes into play. What is a Data Pipeline?

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

JUNE 13, 2023

In today’s data-centric society, organizations are constantly seeking efficient and reliable ways to process and analyze vast amounts of information. This is where the concept of a data pipeline comes into play. What is a Data Pipeline?

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

JUNE 13, 2023

In today’s data-centric society, organizations are constantly seeking efficient and reliable ways to process and analyze vast amounts of information. This is where the concept of a data pipeline comes into play. What is a Data Pipeline?

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Visualization 52

Astera

NOVEMBER 28, 2023

A report by KPMG indicates that only 35% of executives report a high level of trust in an organization’s use of data and analytics. The other 65% face difficulties transporting and using data. This highlights the need for effective data pipeline monitoring. What is Data Pipeline Monitoring?

Monitoring 40

Monitoring Data Quality Government Healthcare 40

The Data Administration Newsletter

OCTOBER 17, 2023

Where exactly within an organization does the primary responsibility lie for ensuring that a data pipeline project generates data of high quality, and who exactly holds that responsibility? Who is accountable for ensuring that the data is accurate? Is it the data engineers? The data scientists?

Data Quality 52

Data Quality Data Governance Government Data Management 52

Astera

JUNE 6, 2023

In the evolving technology age of today, the utilization of the best data pipeline tools is paramount. These tools play a crucial role in efficiently extracting, transforming, and loading data from various sources into a centralized repository. What Is a Data Pipeline?

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Dataversity

MARCH 13, 2023

Companies are spending a lot of money on data and analytics capabilities, creating more and more data products for people inside and outside the company. These products rely on a tangle of data pipelines, each a choreography of software executions transporting data from one place to another.

Monitoring 246

Monitoring Data Quality Data Governance Data Architecture 246

Dataversity

APRIL 3, 2024

The new wave of data-hungry machine learning (ML) and generative AI (GenAI)-driven operations and security solutions has increased the urgency for companies to adopt new approaches to data storage. These solutions need access to vast amounts of data for model training and observability.

Data Architecture 157

Data Architecture 157

Smart Data Collective

SEPTEMBER 25, 2023

A recent study by IBM shows that AI has led to a number of huge benefits that can help stop data breaches. One of the reasons that AI has not been used as extensively for cybersecurity protection is that many companies don’t keep track of all of their data security assets.

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Cybersecurity IBM Support IBM Maintenance Supply Chain 271

Smart Data Collective

APRIL 4, 2021

Data-driven marketing has become the norm in almost every industry. Companies have found that big data can significantly improve the ROI of modern marketing campaigns. However, they must use the right technology to get the most out of their big data initiatives. What are the data-driven features of SalesForce Automation System?

Big Data 235

Big Data Data Analytics Data Analytics Digital 235

Astera

FEBRUARY 16, 2024

ETL Using Python: Exploring the Pros vs. Cons Are you looking to automate and streamline your data integration process? ETL (extract, transform, and load) collects data from various sources, applies business rules and transformations, and loads the data into a destination system.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Government 52

Smart Data Collective

APRIL 13, 2021

is an AI-based conversational marketing platform and virtual assistant that helps sales and marketing teams move leads through the pipeline. It can automatically update data such as the status of newly-qualified leads and when prospects leave the company, change jobs, or ask to be contacted later. Image source: Exceed.ai. How Exceed.ai

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Artificial Intelligence Customer Experience Customer Experience Documentation 323

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Analyze your metadata.

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Chief Data Officer Embedded Analytics Data Governance Data Warehouse 333

Simplilearn

OCTOBER 31, 2022

Data engineers are the unsung heroes of the data analytics industry. Their work is essential to the success of a company's data analytics efforts. Data engineers build pipelines that help companies collect, merge, and transform data to facilitate seamless analytics.

Data Analytics 130

Data Analytics Data Analytics 130

Dataversity

SEPTEMBER 16, 2022

From the humble data warehouse to the lake and swamp to potentially an ocean of data, take your pick where you want to drown yourself. The reality is the customer doesn’t care about the fancy lake or the Kafka pipelines; they care about the service they are receiving from you.

Data Warehouse 130

Data Warehouse Data Architecture 130

Smart Data Collective

MARCH 9, 2023

Here are 3 principles every organization must implement to combat AI’s rise in data breaches. For instance, you can gamify security training and use data to create tailored learning paths. Thus, you can control your data even it if resides with a CSP. So, what should companies do?

Cybersecurity 213

Cybersecurity Artificial Intelligence 213

Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. You also want to get an idea of the benefits of data lakes.

Data Warehouse 248

Data Warehouse Big Data Data Analytics Data Analytics 248

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 246

Data Warehouse E-Commerce Real-time Data Data Architecture 246

Dataversity

AUGUST 9, 2022

Spectacular data breaches like those that affected Colonial Pipeline, JBS, and SolarWinds can have dramatic consequences for the victims, ranging from ransomware payments to significant reputational damage. The post Why Small Data Breaches Are a Big Threat to Cybersecurity appeared first on DATAVERSITY.

Cybersecurity 130

Cybersecurity Government Cloud Computing Data Architecture 130

InfoQ Articles

FEBRUARY 16, 2021

Chris Riccomini examines the current and future states of the art in data pipelines, data streaming, and data warehousing. By Chris Riccomini.

Data Management 145

Data Management 145

Smart Data Collective

JANUARY 24, 2020

Speeding up the pipeline with machines would be an example of that, as would providing better response times for customer queries with chatbots. The Shift in Focus from CI Pipelines to DevOps Assembly Lines. In 2019, expect a seismic shift from CI pipelines to DevOps assembly lines. A CI/CD pipeline can be automated as well.

Monitoring 251

Monitoring Planning Business Intelligence Business Intelligence 251

Smart Data Collective

OCTOBER 17, 2022

Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. There are a number of challenges in data storage , which data pipelines can help address.

Data Warehouse 321

Data Warehouse Big Data Procurement Data Visualization 321

Agilemania

NOVEMBER 17, 2022

The backbone of modern DevOps is the continuous delivery pipeline (or CI/CD pipeline). A continuous delivery pipeline is much more than a collection of tests. Automatic pipelines shorten delivery times while also lowering the risk of dumb negligence. Benefits of Implementing CI/CD Pipeline. Make Rollbacks Smoother.

Agile 98

Agile Portfolio Management Digital Transformation Monitoring 98

InfoQ Articles

OCTOBER 14, 2022

In this article, author discusses data pipeline and workflow scheduler Apache DolphinScheduler and how ML tasks are performed by Apache DolphinScheduler using Jupyter and MLflow components. By Zhou Jieguang.

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