Databand.ai

AUGUST 30, 2023

This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. Data profiling: Regularly analyze dataset content to identify inconsistencies or errors. Additionally, high-quality data reduces costly errors stemming from inaccurate information.

Building 52

Building Data Cleanse Data Governance Datasets 52

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

Cloudera

DECEMBER 13, 2023

He is responsible for introducing common tools and processes and enhancing the technology, tools and data available to employees, empowering them to use their expertise and creativity in innovative ways. LGIM’s data ecosystem had become fragmented over time as it had grown. Please read the full story here.

Pipeline-centric 89

Pipeline-centric Professional Services Datasets BI 89

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Can you describe what League of Legends is and the role that data plays in the experience?

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Databand.ai

AUGUST 30, 2023

Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content. In this article: Why are data testing tools important? Improved data quality The primary goal of using data testing tools is to enhance the overall quality of an organization’s data assets.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

DataKitchen

MAY 10, 2024

Data ingestion monitoring, a critical aspect of Data Observability, plays a pivotal role by providing continuous updates and ensuring high-quality data feeds into your systems. The Second of Five Use Cases in Data Observability Data Evaluation: This involves evaluating and cleansing new datasets before being added to production.

Data Ingestion 52

Data Ingestion Transportation High Quality Data Data Schemas 52

Databand.ai

MAY 30, 2023

Methods: Enhancing data quality might involve cleansing, standardizing, enriching, or validating data elements, while preserving data integrity necessitates robust access controls, encryption measures, and backup/recovery strategies. Learn more in our detailed guide to data reliability 6 Pillars of Data Quality 1.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Databand.ai

JULY 17, 2023

DataOps , short for Data Operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data management processes. It aims to streamline the entire data lifecycle—from ingestion and preparation to analytics and reporting.

Data Pipeline 52

Data Pipeline Machine Learning High Quality Data Data Ingestion 52

Data Engineering Weekly

DECEMBER 10, 2023

Capital One: Insights on building a data strategy to drive business value One of the hotly debated and many companies struggling with is to build an agile data strategy to drive business value. There is no shortage of data, but data management is still hard, which requires skillful execution and alignment across the org.

Data Engineering 76

Data Engineering Data Engineer Engineering Metadata 76

Pinterest Engineering

JULY 25, 2023

Soam Acharya | Data Engineering Oversight; Keith Regier | Data Privacy Engineering Manager Background Businesses collect many different types of data. Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary.

Big Data 95

Big Data Accessible Accessibility Hadoop 95

Snowflake

APRIL 18, 2024

This blog post explores how Snowflake can help with this challenge. With Snowpipe Streaming there’s no need to prepare files before loading, making the cost of getting data more predictable. Security teams can also reduce their costs by loading certain datasets in batches instead of continuously.

Data Lake 80

Data Lake Data Ingestion Bytes Cloud Computing 80

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. This blog is here to help you understand not only the basics but also the cool new ways and tools to make your data squeaky clean. What is Data Cleaning?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Data Engineering Weekly

NOVEMBER 20, 2022

Google AI: The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation Google published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles. link] The short YouTube video gives a nice overview of the Data Cards.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Data Engineering Weekly

JULY 23, 2023

This blog post will delve into these questions, tackle common misconceptions, and give you an intuitive understanding of how to think about GPUs. link] Piethein Strengholt: Data Management at Scale Data Mesh is a widely discussed and debated topic on the possibility of decentralized data management at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Data Engineering Weekly

MARCH 3, 2024

This approach enables deeper insights into complex datasets that LLMs have not been trained on, demonstrating substantial improvements in data understanding and thematic discovery. The article concludes with a look at data contracts as a concrete example of these principles in practice. link] Nvidia: What Is Sovereign AI?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

APRIL 25, 2024

It is especially true in the world of big data. If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. Big data is one of the most talked-about topics in the business world today.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Cloudera

MAY 18, 2022

With AI, those reorders can be automated based on historical patterns and ongoing sales data; the system learns when to restock a product and what quantities to order. . Address data management . No AI-first strategy can truly succeed without a well-defined data management strategy.

Manufacturing 94

Manufacturing Retail High Quality Data Algorithm 94

Edureka

JANUARY 18, 2024

It also discusses available resources and tools, and the current data science landscape. Need for Data Science Data scientists play a vital part in improving decision-making, increasing business efficiency, and turning massive volumes of data into actionable insights.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

DECEMBER 22, 2023

A data scientist's main responsibility is to draw practical conclusions from complicated data so that you may make informed business decisions. This career guide can assist you in taking the first steps toward a rewarding career in data science if you're wondering how to become a data scientist.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Data Engineering Weekly

JUNE 18, 2023

Sanjeev Mohan: How to Use Large Language Models (LLMs) on Private Data: A Data Strategy Guide Despite all the attention AI garners, some high-profile missteps have reminded the world once again of “garbage in, garbage out.” Data management is critical for any organization to succeed in this AI world.

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Hadoop can store data and run applications on cost-effective hardware clusters.

Hadoop 52

Hadoop Project Datasets Big Data 52

Cloudera

DECEMBER 19, 2023

Innovations in AI-enabled data management in defense and intelligence communities also enable secure data sharing across the organization and with partners, optimizing data analysis and intelligence collaboration. Improve dataset quality. Make sure to audit data regularly. Trust your data.

Government 88

Government Education Unstructured Data Datasets 88

Knowledge Hut

JANUARY 24, 2024

Join me on this captivating expedition as we peel back the curtain, revealing the intricacies that define "A Day in the Life of a Data Scientist." This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Data Engineering Weekly

OCTOBER 30, 2022

There is no mention of data management in general, but mainly of usage and operational factors. Nothing groundbreaking will happen on data management in 2023, but I expect a little momentum behind data management towards the end. The author explains how to dump the history of blockchains into S3.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Databand.ai

JULY 5, 2023

Improved Collaboration Among Teams Data engineering teams frequently collaborate with other departments, such as analysts or scientists, who depend on accurate datasets for their tasks. Boosting Operational Efficiency A well-monitored data pipeline can significantly increase an organization’s operational efficiency.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Cloudera

SEPTEMBER 15, 2023

Underneath all of this are the data assets themselves, with appropriate governance (e.g. masking and anonymization to protect privacy concerns), security (user access control), and comprehensive observability (for billing purposes), all of which come as standard features in Cloudera SDX (Shared Data Experience).

Telecommunication 79

Telecommunication AWS Retail Amazon Web Services 79

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. .

Transportation 110

Transportation Telecommunication Banking Data Lake 110

Cloudera

SEPTEMBER 7, 2023

Given the complexity of the datasets used to train AI systems, and factoring in the known tendency of generative AI systems to invent non-factual information, this is no small task. By embedding intelligence at the data platform-level, it becomes possible to accelerate the pace at which financial institutions can operationalize AI solutions.

Insurance 81

Insurance Finance Portfolio Government 81

Knowledge Hut

DECEMBER 26, 2023

Nothing is more fascinating than examining a data set to discover relationships between the data and derive original ideas. You can acquire and use data sets for free from various dataset sources. Your profile simply serves as proof of your data science resume that you can back up your claims.

Data Science 52

Data Science Portfolio Recruitment Education 52

Lyft Engineering

NOVEMBER 29, 2023

In this particular blog post, we explain how Druid has been used at Lyft and what led us to adopt ClickHouse for our sub-second analytic system. Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data. (ex.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Data Engineering Podcast

AUGUST 5, 2019

Announcements Welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

Knowledge Hut

NOVEMBER 19, 2023

IoT enhances our lives with the sub-discipline of Data Science for IoT. Here, Data Science courses online can help you apply what you learn in practical exercises working with real-world datasets. Furthermore, Data Scientists analyze this data, build reports and train ML models on top of it. What is IoT?

Data Science 52

Data Science Technology Machine Learning Big Data 52

Cloudera

SEPTEMBER 1, 2021

Enterprises often handle terabytes and petabytes of data, with data scientists running Apache Hadoop clusters with data analytics, and see this as giving them a competitive advantage. Enterprises undergoing a digital transformation should adopt a data management and analytics platform that empowers data-driven companies.

Hadoop 98

Hadoop Data Utilities Consulting 98

Precisely

DECEMBER 4, 2023

They also need a strong foundation of data science to underpin those efforts. Many organizations get bogged down with data preparation, which can consume up to 80% of data science efforts. Collecting, organizing, and cleaning datasets consumes 45-60% of DS time.

Telecommunication 62

Telecommunication Data Science Data Integration Data Preparation 62

Cloudera

SEPTEMBER 6, 2022

The type of data structures that are being deployed, however, don’t look like those that we’ve seen in the past. . Previously, there were three types of data structures in telco: . Application-based datasets — i.e. billing or contact center support systems . Entity data sets — i.e. marketing data lakes .

Telecommunication 84

Telecommunication Data Architecture Architecture Government 84

LinkedIn Engineering

JANUARY 16, 2024

In a previous blog post, we talked about how we built our anti-abuse platform using CASAL. In this blog post, we'll go deeper into how we manage account restrictions. The brilliance of BF lies in their ability to represent large datasets of restrictions succinctly. This strategic move streamlined our data management.

Kafka 84

Kafka Relational Database Java Architecture 84

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Merck KGaA can successfully manage data access based on geo-location, resource, and also customized tags, by setting permission policies for its employees.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98