DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. This process is critical as it ensures data quality from the onset.

Data Ingestion 40

Data Ingestion Transportation High Quality Data Data Schemas 40

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

Raw Data 40

Raw Data Data Ingestion Datasets Data 40

Data Engineering Weekly

MARCH 3, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

APRIL 29, 2024

Replacing inherent social structures of a physical office, team stand-ups and in-person collaboration with tools like Slack, Microsoft Teams and Proofhub, knowledge sharing and learning new things can become much harder. Some are better equipped than others to deal with prolonged periods of disruption from their regular working routines.

Data Science 98

Data Science Media Technology Big Data 98

Data Engineering Weekly

FEBRUARY 4, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Joe Reis: Definition of Data Modeling & What Data Modeling Is not Joe raised a very fundamental question in data engineering.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

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

Databand.ai

JULY 11, 2023

Data Quality Platform: Benefits, Key Features, and How to Choose Eric Jones July 11, 2023 What Is a Data Quality Platform? A data quality platform is a software solution designed to help organizations manage, maintain, and improve the quality of their data.

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

Snowflake

MAY 9, 2024

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). The numbers back up Stuermer’s belief.

Unstructured Data 93

Unstructured Data Manufacturing Retail Data Warehouse 93

Databand.ai

AUGUST 30, 2023

Data Testing Tools: Key Capabilities and 6 Tools You Should Know Helen Soloveichik August 30, 2023 What Are Data Testing Tools? Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

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

Knowledge Hut

MARCH 7, 2024

BAs are thus expected to have knowledge about key concepts of business analysis and be skilled in using different tools and techniques for eliciting, analyzing, and managing requirements. These are fundamental thinking skills where the individual works on breaking down the large problem into smaller, more manageable parts.

Business Analyst 98

Business Analyst Consulting Data Analysis Finance 98

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 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

Knowledge Hut

MARCH 18, 2024

It requires careful planning and management. That's where competent software project managers come into play. From defining project objectives to managing timelines and addressing any challenges that arise along the way, these managers play a crucial role in steering the project toward success.

Project 52

Project Management Certification Software Engineer 52

Knowledge Hut

MARCH 26, 2024

By working closely with management, Quality Managers play a vital role in ensuring procedures are effectively implemented throughout the organization. They collaborate closely with leadership to translate quality objectives into actionable plans. Who is the Quality Manager? What Does a Quality Manager Do?

Management 52

Management Manufacturing Data Analysis Certification 52

Cloudera

DECEMBER 1, 2023

These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm. This requires a holistic approach that addresses the key areas of security, governance, and trustworthy data.

Building 111

Building Government Transportation Data Governance 111

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Edureka

MAY 6, 2024

In today’s data-driven world, machine learning models play a huge role in developing sectors like healthcare, finance, transport, e-commerce, and so on. Whether you are a newbie or an experienced individual, if you want to explore more about the concepts of MLOPS, then you just click on the right blog. Why do we need MLOPS?

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Knowledge Hut

MARCH 18, 2024

How you track and analyze project data is a critical component that can make all the difference in whether a project you manage succeeds or fails. Work performance data is even more important than this process, which is necessary. What is Work Performance Data (WPD)? It becomes work performance information after analysis.

Raw Data 52

Raw Data Data Designing Project 52

Snowflake

NOVEMBER 30, 2023

At TCS , we help companies shift their enterprise data warehouse (EDW) platforms to the cloud as well as offering IT services. We’re extremely familiar with just how tricky a cloud migration can be, especially when it involves moving historical business data. How many tables and views will be migrated, and how much raw data?

Data Warehouse 99

Data Warehouse Banking Data Cloud 99

Databand.ai

JUNE 8, 2023

Observability in Your Data Pipeline: A Practical Guide Eitan Chazbani June 8, 2023 Achieving observability for data pipelines means that data engineers can monitor, analyze, and comprehend their data pipeline’s behavior. This ensures the reliability and accuracy of data-driven decision-making processes.

Data Pipeline 52

Data Pipeline Bytes Raw Data Data Collection 52

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 BI 52

Cloudera

DECEMBER 19, 2023

AI-based procurement that uses natural language processing to process RFIs, RFPs, and RFQs, as well as text classification to streamline and automate processes such as supplier evaluation, contract analysis, and spend management, can streamline the procurement process and improve transparency and efficiency.

Government 92

Government Education Unstructured Data Datasets 92

Databand.ai

AUGUST 30, 2023

Data Consistency vs Data Integrity: Similarities and Differences Joseph Arnold August 30, 2023 What Is Data Consistency? Data consistency refers to the state of data in which all copies or instances are the same across all systems and databases. Data consistency is essential for various reasons.

Data Integration 52

Data Integration Data Cleanse Data Validation High Quality Data 52

Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. With AI, it can even prescribe the appropriate action that needs to be taken and when.

Manufacturing 82

Manufacturing Data Lake Data Science Cloud 82

Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. However, the ultimate goal is simple: to prepare data for immediate use.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Workfall

SEPTEMBER 18, 2023

Reading Time: 9 minutes Imagine your data as pieces of a complex puzzle scattered across different platforms and formats. This is where the power of data integration comes into play. Meet Airbyte, the data magician that turns integration complexities into child’s play. In this blog, we will cover: What is Airbyte?

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Knowledge Hut

MARCH 18, 2024

In this blog, I will walk you through the definition, purpose, process, and importance of integrated change control, as well as explore the benefits and best practices associated with it. You will also get an idea of the Project Management training certifications to take up if you are interested in building a career in ICC.

Process 52

Process Certification Project Utilities 52

Knowledge Hut

MARCH 20, 2024

In this blog, I will explain everything about automation software engineer job description and their salaries. Automation engineers understand programming languages, automation tools, and frameworks and are competent in developing workflows that minimize human intervention. I will explain their responsibilities further in the blog.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

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

Pinterest Engineering

FEBRUARY 22, 2024

Technical Program Manager; Joe Gordon | Sr. In this blog post, we share our journey of unlocking AI-assisted development, from the initial idea to the General Availability (GA) stage. After careful consideration, we chose GitHub Copilot due to its feature set, robust LLM, and fit with our existing tooling ecosystem.

Scala 78

Scala Engineering Software Engineer Software Engineering 78

Databand.ai

MAY 30, 2023

6 Pillars of Data Quality and How to Improve Your Data Eric Jones May 30, 2023 What Is Data Quality? Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Knowledge Hut

MARCH 14, 2024

In this blog, I will explain everything about automation software engineer job description and their salaries. Automation engineers understand programming languages, automation tools, and frameworks and are competent in developing workflows that minimize human intervention. I will explain their responsibilities further in the blog.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

Data Engineering Weekly

JANUARY 21, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Interesting article on the impact of search engine optimization (SEO) on the quality of search engine results. Visit rudderstack.com to learn more.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Cloudera

OCTOBER 18, 2023

These cutting-edge technologies provide lower-cost alternatives for discovering efficiencies within financial operations, all while enhancing the quality of services offered. And just as financial services experiences its cycles, this time of year I find myself returning to the topic of cost reduction.

Portfolio 80

Portfolio Banking Algorithm Machine Learning 80

Cloudera

OCTOBER 24, 2023

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. AI-powered automation is already driving significant margin growth by reducing costs.

Government 81

Government Finance Deep Learning Data Governance 81

Knowledge Hut

JANUARY 24, 2024

In today's digital age, where information permeates every corner of our lives, the role of a data scientist bears a striking resemblance to that of a modern-day explorer. 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."

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52