DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019. What is a Data Fabric?

Data Pipeline 98

Data Pipeline Data Data Analytics Architecture 98

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 106

IT Unstructured Data Data Architecture Government 106

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

Data Engineering Weekly

APRIL 7, 2024

Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Scott Logic

MARCH 25, 2024

Our focus has been on tools for use on cloud platforms, with moderate levels of demand. User Experience Power BI is a platform commonly used by Business Analysts ( read here ), but designed to be used by anyone. Users will typically access the platform via the desktop application Power BI Desktop.

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BI Business Intelligence Cloud AWS 52

DoorDash Engineering

NOVEMBER 28, 2023

DoorDash has been building an internal Machine Learning Workbench over the past year to enhance data operations and assist our data scientists, analysts, and AI/ML engineers. As shown in Figure 1, data science intersects ML in multiple ways and is paramount to DoorDash’s success.

Machine Learning 90

Machine Learning Pipeline-centric Data Science Designing 90

Cloudera

NOVEMBER 1, 2022

These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity. These are challenges that must be assessed and mitigated and ultimately resolved with data. .

Cloud 83

Cloud Government Cloud Computing Data Architecture 83

Cloudera

AUGUST 9, 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. As a leader in hybrid data, Cloudera is positioned to help organizations take on the challenge of managing and analyzing data wherever it resides.

Data Architecture 87

Data Architecture Architecture Cloud Computing Cloud 87

Data Engineering Podcast

SEPTEMBER 18, 2019

Summary The conventional approach to analytics involves collecting large amounts of data that can be cleaned, followed by a separate step for analysis and interpretation. explains how the SwimOS kernel and the enterprise data fabric built on top of it enable brand new use cases for instant insights.

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Data Lake Hadoop BI Kafka 100

Ascend.io

MARCH 23, 2023

Below, I draw on my prior knowledge, discussions with customers, and conversations with other leaders to outline six key data engineering trends to be aware of (and capitalize on) in 2023. The data engineer role will specialize Over time, “software engineer” became too generic a term.

Software Engineer 52

Software Engineer Software Engineering Data Ingestion Data Engineering 52

Ascend.io

APRIL 22, 2024

At Ascend, we believe it’s time to rethink data engineering from the ground up. As the world of data continues to evolve at a breakneck pace, we are thrilled to announce the next revolutionary step in our journey – Project Inception. Read More: The State of Data Engineering in 2023: Does Your Data Program Stack Up?

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Project Metadata Data Pipeline Data Engineering 52

DataKitchen

DECEMBER 13, 2021

Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? DataOps Data Architecture. DataOps is Not Just a DAG for Data. Data Observability and Monitoring with DataOps. DataOps is NOT Just DevOps for Data. Data Governance as Code. How DataOps Enables a Data Fabric.

Data Governance 98

Data Governance Data Architecture Government Data Engineering 98

Data Engineering Podcast

AUGUST 28, 2022

For data engineers, this is a monumental undertaking. Atlan is the metadata hub for your data ecosystem. RudderStack helps you build a customer data platform on your warehouse or data lake. The only thing worse than having bad data is not knowing that you have it.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Data Engineering Podcast

AUGUST 6, 2022

Summary Data mesh is a frequent topic of conversation in the data community, with many debates about how and when to employ this architectural pattern. The team at AgileLab have first-hand experience helping large enterprise organizations evaluate and implement their own data mesh strategies.

Metadata 100

Metadata MongoDB MySQL Business Intelligence 100

Databand.ai

JUNE 21, 2023

Eric Jones June 21, 2023 What Are Data Integrity Tools? Data integrity tools are software applications or systems designed to ensure the accuracy, consistency, and reliability of data stored in databases, spreadsheets, or other data storage systems. In this article: Why Are Data Integrity Tools Important?

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Data Integration Data Cleanse Data Validation Telecommunication 52

DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . The following resources will help you understand DataOps principles and how to get started: Blog: For Data Team Success, What You Do is Less Important Than How You Do It.

Data Architecture 52

Data Architecture Machine Learning Data Science Government 52

Data Engineering Weekly

JUNE 29, 2023

But hey, I met my friends after a long time and got my copy of “ Fundamentals of Data Engineering ” signed by Joe Reis & Matt Housely. If you’re starting data engineering, I highly recommend reading it. There are many exciting announcements from both the data conferences, and I want to highlight a few themes here.

Data Engineering 76

Data Engineering Data Engineer Google Cloud Engineering 76

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. You can achieve enhancements in incremental steps with existing deployments, without requiring a complete renovation of the platforms involved.

Cloud Storage 101

Cloud Storage Government Data Governance Retail 101

Monte Carlo

MARCH 25, 2024

When we launched the data observability category in 2020, we set out to solve a very real problem: data trust. In the preceding months, I met with hundreds of data leaders about what kept them up at night. What if there was a way to ensure that your data was trustworthy and reliable? The list goes on.

MySQL 64

MySQL Government Data Governance Kafka 64

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 84

Data Governance Government Business Analyst Metadata 84

Data Engineering Weekly

MARCH 10, 2024

Editor’s Note: Chennai Meetup Wrap-Up & Preparation work started for DEWCon I am so grateful for the enthusiastic participants who made our Chennai Data Heroes- Community for Data Folks meetup vibrant! Big thanks to our insightful speakers, Hareshkumar Selvakumar - Talks about his work on Data Products for PayPal.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. This is why ML and AI have been woven into the fabric of cybersecurity intelligence-gathering and defense. .

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Data Collection Algorithm Machine Learning Education 106

Knowledge Hut

APRIL 12, 2023

Microsoft Azure is a powerful cloud computing platform that has become quite popular in recent years. Microsoft Azure is a cloud computing platform that provides users with a range of services, including Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS). Why Use Microsoft Azure?

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Monte Carlo

MAY 9, 2023

Judging by the conversations happening across the data engineering community, you’d think every team was in the midst of adopting an advanced data mesh architecture or weaving an industry-leading data fabric. Many, many data teams rely on them every day to power reporting and data products.

MySQL 52

MySQL Database SQL Relational Database 52

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). The CDO is an essential role in a data-driven organization. Without a data champion, the C-suite can overlook and even ignore data.

IT 74

IT Data Governance Data Architecture Government 74

Knowledge Hut

MARCH 18, 2024

That is to say, rather than erecting expensive data centre infrastructure, firms are selecting cloud service providers. Microsoft introduced this platform for public cloud computing in February 2010, giving customers access to and management of all cloud resources and services. What is Azure?

Portfolio 52

Portfolio Cloud Computing Machine Learning Cloud 52

Data Engineering Weekly

NOVEMBER 26, 2023

It’s the end of the year, and there will be a lot of buzz about what the next five years in data engineering might bring. 🕵️‍♂️📈 Before we delve into the patterns, it's important to remember that data infrastructure maturity model. Who knows what insights we might uncover?

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Monte Carlo

MARCH 12, 2024

Google Cloud’s Dataplex is a data fabric tool that enables organizations to discover, manage, monitor, and govern their data across all of their data systems, including their data lakes, data warehouses, data lakehouses, and data marts. Use Dataplex Data Profiling Recommendations 2.

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Google Cloud Metadata SQL Data Lake 52

Precisely

FEBRUARY 1, 2024

“Data is a key ingredient in deeper insights, more informed decisions, and clearer execution. Advanced firms establish practices to ensure data quality, build data fabrics, and apply insights where they matter most. Data quality and contextual depth are essential elements of an effective data-driven strategy.

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Healthcare Finance Data Data Integration 64

Knowledge Hut

MARCH 29, 2024

As a designer, I exert significant influence over how people interact with technology and data, making the imperative for ethical design important to me. It's about considering the broader impact of our design on society, including how our products can affect individual well-being, privacy, and the collective social fabric.

Designing 52

Designing Software Engineer Software Engineering Algorithm 52

Databand.ai

NOVEMBER 4, 2022

Re-Imagining Data Observability Ryan Yackel 2022-11-04 10:36:35 Data observability has become one of the hottest topics of the year – and for good reason. Data observability provides an end-to-end view into exactly what’s happening with data pipelines across an organization’s data fabric.

Data 52

Data Data Pipeline Retail Metadata 52

Cloudera

FEBRUARY 8, 2021

Within the vehicle, current electronics and wiring infrastructures were not designed for this complex data wrangling capability. In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale.

Manufacturing 105

Manufacturing Machine Learning Data Ingestion Electronics 105

Monte Carlo

APRIL 1, 2022

Today, on April 1st , Monte Carlo announced the release of Data Observability Small Batch, a next-generation platform for locally-sourced, small-batch data. The solution was painstakingly crafted by artisan developers to serve a new wave of data engineers who are nostalgic for data platforms the way they used to be.

Metadata 52

Metadata Data Engineering Data Engineer Data 52

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

Banking 52

Banking Machine Learning Insurance Data Architecture 52

Knowledge Hut

MARCH 29, 2024

Developed a new software platform for the industrial automation products of Rockwell Automation while serving as the team leader for seven software developers. This platform cut development time by 20%, saving over $200,000 in costs. Netflix's innovative culture and emphasis on data-driven decision-making stand out.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52