Topic "Big Data"

Master the Art of Data Science With Self-Service Data Preparation

Data preparation is what every AI and machine learning project needs right now. Roughly speaking, data preparation involves cleansing and transforming data before it’s used in analytics. To explain why it’s so important, let’s take a step back to an ancient board game. Go is a popular board game with origins in Asia. The aim... more

Hackensack Meridian Health Accelerates Digital Transformation with AI-Powered Informatica Enterprise Data Catalog

Healthcare has long been a top priority for citizens and governments alike, and for all the right reasons – from curtailing the cost of healthcare, delivering optimal patient care, protecting patient data, to IT modernization and digital transformation of our healthcare system.  After all, nothing is more important than our health.  And this realization often... more

Speed Your SAP Digital Transformation Initiatives with Informatica Enterprise Data Catalog

SAP systems have long been considered the “backbone” that supports business operations for enterprises of all types and sizes. Businesses rely on SAP end-to-end business solutions, in-memory databases, and data warehouses among other SAP technologies to enable a plethora of business functions. According to SAP, 77% of the world’s transaction revenue touches an SAP system.[1] ... more

Accelerate Smarter Decision Making with Informatica Enterprise Data Preparation

In this data-first world, a company’s success depends on every team member using data to accelerate business decisions. Every enterprise has data, but their DataOps team needs to be empowered to collaborate to find actionable insights and solutions. Industry research suggests most data engineers spend 80% of their time cleansing, curating, and preparing their data... more

6 Ways to Tell If You have an Enterprise-Class Data Catalog

In December 2017, data catalogs officially became cool when Gartner published its report “Data Catalogs Are the New Black in Data Management and Analytics.”[1] Demand for data catalogs has been strong and lived up to the hype over the last couple of years. And over the last year, this demand has translated into an increasing... more

How AI-Powered Enterprise Data Preparation Empowers DataOps Teams

Enterprise data preparation is a team sport. Right? Any DataOps team – including data engineers, data scientists, and data analysts – will want to quickly discover, validate, share and collaborate on data including creating fully cleansed, transformed and governed data pipelines at scale.  However, that is not the reality that most DataOps teams get to... more

Real-Time Data Drives Strategic Decisions

Decision making in business is about seeking a course of action from alternatives, and data powers the critical analysis to select the best course of action. Data has transformed the way businesses operate and take actions. Traditionally, organizations used data stored in their IT systems for making informed business decisions. Slowly, the decisions evolved to... more

Guide to CI/CD and DevOps for Big Data Engineering Management

In today’s modern software development world, adoption of DevOps and CI/CD have become widespread, but their definitions are often confused and consequently they can be misused. In this post, I define each process and explain how Informatica Big Data Management (BDM) integrates with CI/CD and DevOps pipelines in one integrated environment. What Do CI and... more

How Informatica Uses Machine Learning and AI to Improve the Productivity of Data Engineers and Big Data Users

With IT budgets growing slowly, if at all, IT leaders know that increasing productivity is essential. There are three key ways to accomplish this when it comes to managing complex enterprise data environments: Deploy data lakes to automate and manage digital transformation solutions Enable self-service analytics for non-technical users Leverage machine learning to automate data... more