Precisely

JULY 19, 2023

Data governance is fast becoming a business imperative. Many top executives and line-of-business managers lack a clear understanding of the benefits of data governance. Data is a valuable organizational asset, yet if an organization isn’t capable of fully utilizing that asset, there can be a substantial opportunity cost.

Data Governance 52

Data Governance Government Building Data 52

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 involved in deploying your metadata collection agents?

Business Intelligence 113

Business Intelligence Metadata Management Data Governance 113

Cloudera

MARCH 9, 2021

Governance and the sustainable handling of data is a critical success factor in virtually all organizations. While Cloudera Data Platform (CDP) already supports the entire data lifecycle from ‘Edge to AI’, we at Cloudera are fully aware that enterprises have more systems outside of CDP.

Data Governance 96

Data Governance Government Metadata Datasets 96

Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. As enterprise technology landscapes grow more complex, the role of data integration is more critical than ever before.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Data Engineering Podcast

JUNE 5, 2022

Summary The best way to make sure that you don’t leak sensitive data is to never have it in the first place. The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems.

Data Security 100

Data Security Metadata MongoDB Scala 100

Databand.ai

JULY 19, 2023

Data Lineage Tools: Key Capabilities and 5 Notable Solutions Ryan Yackel July 19, 2023 What Are Data Lineage Tools? Data lineage tools provide a visual representation of your data’s journey across multiple systems and transformations. Data lineage tools are not a new concept.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Data Engineering Podcast

JULY 10, 2022

Summary Building a data platform is a journey, not a destination. In this episode Inbar Yogev and Lior Winner share the journey that they and their teams at Riskified have been on for their data platform. They also discuss how they have established a guild system for training and supporting data professionals in the organization.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Christophe Blefari

JUNE 16, 2023

I'm now under the Berlin rain with 20° When I write in these conditions I feel like a tortured author writing a depressing novel while actually today I'll speak about the AI Act, Python, SQL and data platforms. Yann's vision goes toward AI systems learning and reasoning like animals and humans.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Monte Carlo

MAY 18, 2023

Data lineage tools are like detectives that help data professionals quickly sort through the tangled webs of interdependencies that make up the modern data stack. The first instinct of many early stage companies or budget strapped data teams is to turn to open source data lineage tools.

Metadata 64

Metadata Data Lake Government Data Governance 64

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Precisely

MAY 31, 2023

To innovate, compete, and grow in the current macroeconomic environment, enterprises must approach data strategically. A sound data strategy doesn’t happen by accident; it’s built on a foundation of data integrity , including accuracy, consistency, and rich context. Many organizations still struggle with data integrity.

Data Integration 52

Data Integration Metadata Data Governance Data 52

Lyft Engineering

OCTOBER 3, 2023

High-quality data is necessary for the success of every data-driven company. It is now the norm for tech companies to have a well-developed data platform. This makes it easy for engineers to generate, transform, store, and analyze data at the petabyte scale. What and Where is Data Quality?

Big Data 85

Big Data Metadata Data Warehouse Data 85

Snowflake

APRIL 29, 2024

DORA: Building a More Secure Financial System DORA, enacted in January 2023, moves beyond reactive measures, requiring FEs and their service providers to proactively identify vulnerabilities, prevent disruptions and plan for swift recovery from incidents. or better) for data in transit. How can Snowflake Help?

Transportation 84

Transportation Data Governance Government Consulting 84

Databand.ai

AUGUST 30, 2023

Building a Winning Data Quality Strategy: Step by Step Eitan Chazbani August 30, 2023 What Is a Data Quality Strategy? A data quality strategy details the processes, tools, and techniques employed to ensure your company’s data is accurate, consistent, complete, and up-to-date.

Building 52

Building Data Cleanse Data Governance Datasets 52

Snowflake

FEBRUARY 2, 2023

During a cloud migration to Snowflake’s Data Cloud, businesses often struggle to know what data they have on premises, what they should migrate, and in what order. Just as you wouldn’t fill your shiny, new home with clutter you no longer use, you shouldn’t migrate data that’s outdated or not delivering business value to the cloud.

Cloud 88

Cloud Data Data Governance Government 88

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Podcast

APRIL 5, 2021

Summary One of the biggest obstacles to success in delivering data products is cross-team collaboration. This introduces a barrier to communication that is difficult to overcome, particularly in teams that have not reached a significant level of maturity in their data journey.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Cloudera

MARCH 22, 2023

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. And, crucial for a hybrid data platform, it does so across hybrid cloud.

Data Governance 88

Data Governance Government Business Analyst Metadata 88

Monte Carlo

JULY 13, 2023

Data-driven organizations generate, collect, and store vast amounts of data. To effectively manage and analyze this data, data engineering teams must navigate a wide range of challenges, including data access, security, compliance, and data observability. Automating self-service access.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 113

Data Science Cloud Hadoop Metadata 113

Data Engineering Podcast

NOVEMBER 9, 2020

Summary A data catalog is a critical piece of infrastructure for any organization who wants to build analytics products, whether internal or external. In this episode Grant Seward explains how he built Tree Schema to be an easy to use and cost effective option for organizations to build their data catalogs.

Building 100

Building PostgreSQL BI Metadata 100

Precisely

SEPTEMBER 11, 2023

At Precisely, we recognize the value and potential of AI to help our customers work faster and smarter, and make more powerful, confident decisions grounded in trusted data – supporting our overall mission of unlocking data integrity for organizations of all kinds.

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Monte Carlo

JULY 11, 2023

An anomaly certainly given how reliable digital maps are these days, but a data quality error nonetheless, specifically related to data accuracy. A key component of data quality is data accuracy – in fact, it’s one of the 6 overarching dimensions of data quality. In other words, bad data is bad for business.”

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Data Engineering Podcast

SEPTEMBER 23, 2018

Summary As your data needs scale across an organization the need for a carefully considered approach to collection, storage, organization, and access becomes increasingly critical. You work hard to make sure that your data is reliable and accurate, but can you say the same about the deployment of your machine learning models?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Precisely

APRIL 11, 2023

It’s a common scenario across industries: a new strategic initiative is launching, and you need trustworthy, relevant data to analyze and support the best outcomes for the business. What existing data does the organization have to support my initiative? What existing data does the organization have to support my initiative?

Accessible 52

Accessible Accessibility Metadata Data Integration 52

Cloudera

AUGUST 10, 2021

We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. . SDX enhancements for improved platform and data governance, including the following notable features: . Figure 1: sales group SELECT access.

Cloud 96

Cloud Kafka Metadata SQL 96

Monte Carlo

MARCH 16, 2023

Fintech consumer lending marketplace Best Egg has built its products—including personal loans, debt consolidation, credit cards, and a financial health platform—on a foundation of data. Employee number three at Best Egg was Randy Addis, now Head of Data and Business Intelligence.

Software Engineer 52

Software Engineer Software Engineering Data Governance Government 52

phData: Data Engineering

DECEMBER 16, 2021

In our previous blog in this series , we spent a lot of time exploring why a data catalog is valuable and who you might need to support it. With that background information in mind, we’re ready to take a look at some actual tools and properly uncover what’s the best data catalog for your business. Where is your metadata stored?

Metadata 52

Metadata Datasets ETL Tools Cloud 52

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. A variety of platforms have been developed to capture and analyze that information to great effect, but they are inherently limited in their utility due to their nature as storage systems.

Metadata 130

Metadata MongoDB Scala MySQL 130

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Leveraging data where it lies.

Manufacturing 111

Manufacturing Retail Entertainment Government 111

LinkedIn Engineering

JUNE 2, 2023

Sharing economic data with the government and multilateral partners. Sharing economic data and commentary with media such as CNBC, The Wall Street Journal, NBC News, Financial Times, etc. Sharing economic data and commentary with media such as CNBC, The Wall Street Journal, NBC News, Financial Times, etc.

Building 75

Building Banking Datasets Media 75

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Monte Carlo

SEPTEMBER 20, 2022

Data teams spend millions per year tackling the persistent challenges of data downtime. However, it’s often the leanest data teams that feel the sting of poor data quality the most. Prefect, the company behind the eponymous data workflow management system, is on a mission to make coordinating data flows easier.

Big Data 52

Big Data Data Warehouse Data Data Governance 52