Informatica, an enterprise cloud data management specialist, has launched the industry's only free cloud data loading, integration and ETL/ELT service – Informatica Cloud Data Integration-Free and PayGo. The new offering targets data practitioners and non-technical users such as in marketing, sales, and revenue operations teams to build data pipelines within minutes. For example, it provides operations teams with a fast, free, and frictionless way to load, integrate and analyze high-quality campaign, pipeline, forecast, and revenue data. In addition, data analysts and data engineers benefit from increased productivity and rapid development. This is the second in a series of releases that began with the Informatica Data Loader launch in May 2022.

Data integration involves combining the organization's data from different sources to create one usable consolidated stream of data. When well-executed, data integration results in one accurate view which can be used for data analysis. With DQLabs, data integration is made seamless by utilizing AI-powered built-in connectors. Traditional extraction, transformation, and loading tools are slow, error-prone, and time-consuming. Data analysts spend a lot of time going through the data, comparing the schemas and formats. Where an organization has a large amount of data, this process can be very expensive and not end up providing the expected quality of consolidated data.

Manufacturing and processing plants might not be at the front of anyone's minds when it comes to tech adoption, but as illustrated by a recent IDC report, The Worldwide Internet of Things Spending Guide, the manufacturing industry is transforming into industry 4.0 and spearheading the adoption of IoT. Industry 4.0 is the newest industrial revolution, bringing automation, big data and AI into plants and factories around the world. One of the building blocks of industry 4.0 is the internet of things, or IoT. A recent report forecast that spending on IoT platforms would see a 40% CAGR between 2019 and 2024, resulting in spending that exceeds $12.4 billion. In 2019, leading industry corporations were expected to invest almost $200 billion in IoT solutions.

Cars.com is a leader in the automotive digital marketplace. Since 1997, we have built our B2B and B2C brand to preeminent status in the industry. While enjoying great stability, we continue to grow. Our workforce has more than doubled since 2006, and our revenue has increased more than 150% in that same time. Our highly engaged workforce enjoys our dedication to work/life balance, wellness and career growth as well as a rich set of employee programs.

Cars.com is a leader in the automotive digital marketplace. Since 1997, we have built our B2B and B2C brand to preeminent status in the industry. While enjoying great stability, we continue to grow. Our workforce has more than doubled since 2006, and our revenue has increased more than 150% in that same time. Our highly engaged workforce enjoys our dedication to work/life balance, wellness and career growth as well as a rich set of employee programs.

Technology continues to rapidly transform every industry. The world of BI and analytics is no different. We've shared five predictions every data leader needs to know about in 2019, but there were five more we couldn't leave out. Traditional big BI products introduced the notion of semantic models - data models that aimed to provide a centralized, unified, logical, business-oriented abstraction over physical data sources, which serve as a single source of truth for business metrics. While the motivation for using semantic models was sound, the tools for building and maintaining them were extremely complex, requiring very specialized and expensive resources.

Data is changing the world, but today's enterprises remain inundated with an ever-rising tide of data generated by products, customers, partners, and business ecosystems. Successful organisations in this digital age are those that have found a way to harness it in order to drive operational efficiencies, better serve customers, tap new market opportunities, and gain competitive advantage. Despite this, not all business functions have progressed swiftly in their usage of data. HR is a case in point. Depending on how digitally mature a company is, data-driven decision-making can be adopted by HR for great results.

REDWOOD CITY, Calif., May 22, 2018 (GLOBE NEWSWIRE) -- Talend (NASDAQ: TLND), a leader in cloud data integration solutions, has been named to the 2018 CRN Big Data 100 list, a brand of The Channel Company. This annual list recognizes vendors that have demonstrated an ability to innovate in bringing to market products and services that help businesses work with one of the most dynamic, fastest growing segments of the IT industry - Big Data. As a result of Talend's inclusion in the CRN Big Data 100, Solutions Review selected Talend Open Studio for Data Integration and Talend Cloud among its list of "7 Data Integration Tools We Recommend". The data explosion in recent years has fueled a vibrant big data technology industry. Businesses need innovative products and services to capture, integrate, manage and analyze the massive volumes of data they are grappling with every day.

This post is a brief review of leading Data Integration tools in the market. Heavily referencing from the Gartner 2016 report and peer reviews from my circle. The data integration tool market was worth approximately $2.8 billion at the end of 2015, an increase of 10.5% from the end of 2014 [2016 Gartner Report – Data Integration Tools]. Data acquisition for business intelligence (BI), analytics and data warehousing-- extracting data from operational systems, transforming and merging that data, and delivering it to integrated data structures for analytics purposes. Data migrations/conversions -- although, traditionally addressed most often via the custom coding of conversion programs, data integration tools are increasingly addressing the data movement and transformation challenges.

The growing importance of business intelligence and data analytics applications in driving business decision making has made data integration's vital role in the enterprise crystal clear. From gathering data, transforming it into useful information and delivering it to the business users or processes that need it, data integration routines provide the crucial link between a variety of source and target systems. As the first article in this series examined, several types of packaged software have emerged to meet the challenges of data integration. The current generation of data integration tools consists of full-fledged suites that support extract, transform and load (ETL) processes, application integration, cloud-based and real-time integration, data virtualization, data cleansing and data profiling. How can you determine if your organization should invest in a data integration tool?