Data scientists today have to choose between a massive toolbox where every item has its pros and cons. We love the simplicity of Python tools like pandas and Scikit-learn, the operation-readiness of Kubernetes, and the scalability of Spark and Hadoop, so we just use all of them. What happens? Data scientists explore data using pandas, then data engineers use Spark to recode the same logic to scale or with live streams or operational databases.

Service Management Group (SMG) offers an easy-to-use experience management (XM) platform that combines end-to-end customer and employee experience management software with hands-on professional services to deliver actionable insights and help brands get smarter about their customers. The XM platform, smg360, helps customers across verticals, including restaurants, retail, and healthcare, drive changes that boost loyalty and improve business outcomes.

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. These businesses use data-fueled insights to enhance the customer experience, reduce costs, and increase revenues. And Cloudera is at the heart of enabling these real-time data driven transformations.

This was one of the key takeaways from student Noah Bledsoe in the latest episode of the Data Brilliant – Unplugged series, which explored how Radford University is arming its students with data skills to prepare them for the future world of work.

SEO is a very important aspect of the digital marketing strategy for a business website or a blog. With that being said, precaution needs to be taken when implementing this marketing strategy and you should have a reliable tool to gauge the performance of your SEO strategy. With plenty of tools and services on the market, it is often overwhelming for SEO professionals and digital marketers to choose the best. Sitechecker is a known-name and many SEO professionals recommend it.

In part 2 of the series focusing on the impact of evolving technology on the telecom industry, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again. To continue where we left off, as industry players continue to shift toward a more 5G centric network, how is 5G impacting the industry from a data perspective?

Have you ever felt that, by looking at just numbers, that you are probably missing out on the bigger picture? That’s, of course, why we have visualizations – to form patterns out of those numbers that we can then interpret, as well as glean insights from and deepen our understanding of what the data reveals. Now, what if we bring numbers and visualizations together in a table, one way to explore those numbers and find hidden gems of meaning? Let’s have a look at mini charts!

Learn how Drizly uses analytics to help connect customers with their favorite beverages.

There’s no doubt that cloud has become ubiquitous, and thank goodness for that in 2020. We wouldn’t have survived the challenges of this year without cloud. It’s supported everything, from the sudden changes in the way we work to the way we access healthcare and even shop for vital goods. While cloud is the vehicle, it’s what sits on it that makes it so valuable — data.

With a modern data stack, Branch Insurance joins data from its transactional database and apps to visualize acquisition cost and lifetime value in real time.

Data from GitHub can help your engineers quantify how they are doing.

On August 18, we completed our Enterprise Data Cloud vision of bringing a truly hybrid cloud experience with the general availability of Cloudera Data Platform Private Cloud (CDP Private Cloud). CDP Private Cloud, which is based on Kubernetes (RedHat OpenShift), extends cloud-native speed, simplicity and economics for the connected data lifecycle to the on-prem world, enabling IT to respond to business needs faster and deliver rock-solid service levels so people can be more productive with data.

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To find out more about how live-streaming data might impact the financial services sector, I sat down for a chat with Dinesh Chandrasekhar, Head of Product Marketing in Cloudera’s data-in-motion Business Unit. If you missed Part 1 of our Q&A, you can catch-up on it here.

Managing access to sensitive data is the name of the game when it comes to security and data governance. It’s required to protect sensitive data from unauthorized changes or exposure, and it’s now a mandate as part of privacy regulations such as GDPR and the California Consumer Privacy Act (CCPA). Companies all over the world are now focused on protecting sensitive PII associated with their customers and employees.

Learn how and when to apply transformations in your data strategy

Evaluating anomalies and unpredicted events like pandemics and ESG concerns In part II of the series, we sat down for an interview with Dr. Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. You can catch-up and read part 1 of the series, here. Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon.

With only about 35% of machine learning models making into production in the enterprise (IDC), it’s no wonder that production machine learning has become one of the most important focus areas for data scientists and ML engineers alike. As you may remember, we recently announced a full set of MLOps capabilities in Cloudera Machine Learning, our cloud native machine learning tool for the cloud.

Today, we announced the acquisition of the assets and IP of Knarr Analytics, an innovative start-up that provides real-time collaboration, sophisticated data exploration and insight capture capabilities, to complement Qlik’s cloud data and analytics platform.

In the last blog with Deloitte’s Marc Beierschoder, we talked about what the hybrid cloud is, why it can benefit a business and what the key blockers often are in implementation. You can read it here.

Modern businesses face a continuously growing mountain of data, made up of many different operational processes and performance metrics, which your users need to decipher for insights and proactively monitor in order to ensure business goals are met. Embedded dashboards are one way for your users to keep track of key information while using your application.

If your company has already started getting into machine learning / deep learning, you will quickly relate to the following story. If your company is taking its first steps into data-science, here is what is about to be dropped on you. If none of the above strikes a chord, well it’s probably good to know what’s out there because data-science is all the rage now, and it won’t be long until it gets you too 🙂

Fivetran offers increased transparency and understanding of all data pipeline actions.

It’s no secret that today’s data environment is chaotic. Organizations everywhere have to deal with more sources of data, more data types, and more use cases for that data, in order to make mission-critical decisions with confidence.

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate.

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To find out more about how live-streaming data might impact the sector I sat down for a chat with Dinesh Chandrasekhar, Head of Product Marketing in Cloudera’s data-in-motion Business Unit.

Back in 1977, an English mod/rock band called The Jam released a track called “The Modern World.” The same year also saw the dawn of the home computer, with the Apple II and Commodore PET 2001 going on sale at a time when the mainframe was going strong. Fast forward to 2020, and, despite many false claims of its death, the mainframe remains strong; however, to get the most value of from the data inside, mainframe modernization is key.

Talend is excited to announce the latest improvements to Talend Data Fabric, including expanded cloud capabilities, in our August ’20 release. Talend now offers Talend Cloud Data Catalog hosted on either AWS or Azure platforms. It provides the same great features and functionality as our on-premises solution but with no on-premises installation for a complete SaaS solution for data governance.

2020 may well go down as the year where what seems impossible today, did become possible tomorrow. It’s been a year filled with disruption and uncertainty. One day we were all going to the office, and the next we were working from home. Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things.

The Paycheck Protection Program (PPP) is implemented by the US federal government to provide a direct incentive for businesses to keep their employees on the payroll, particularly during the Covid-19 pandemic. PPP assists qualified businesses retain their workforce as well as help pay for related business expenses. Data from the US Treasury website show which companies received PPP loans and how many jobs were retained. The US Treasury approved approximately one million PPP loans across the US.

Michelin is a global organization well known for its high-performance tires, popular travel guides, and numerous innovations around materials, services, and connected solutions. Many consumers recognize the French brand by the famous “Michelin Man” mascot, whose body is composed of stacked white tires.

Cloudera Data Platform (CDP) Private Cloud is the most comprehensive on-premises platform for integrated analytics and data management. It combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise Plus, and brings the latest and greatest open source technologies for data management and analytics to the data center. With the latest version (7) of CDP Private Cloud, we’ve introduced a number of new features and enhancements.

Data analytics is going through tremendous growth while helping businesses succeed in a challenging economy. But cybersecurity presents increasing challenges for businesses. Prologis, however, has combined data analytics and cybersecurity to improve visibility, cut costs, and reduce risk. Prologis plays an essential role in the global supply chain.

Everyone talks about KPIs, but do you know what makes a good or bad KPI? Tracking and forecasting KPIs is empowering and valuable for any organization, but only if done right. A key performance indicator is a metric used to measure and evaluate how well a company is achieving its set goals. Peter Drucker once said, "what gets measured gets done." KPIs help organizations work towards their critical objectives by creating a basis for the value of work done.

We are pleased to share the findings of a Forrester Consulting Total Economic Impact™ (TEI) study that evaluates the cost savings and business benefits enabled by Snowflake’s cloud data platform. Snowflake commissioned the study to gain insight into the return on investment we’re delivering for customers and learn how we can serve them better.

There is no debate. Making sense of your data is just good business. Studies from Forrester Research, McKinsey and more show that companies that leverage their data better tend to outperform their less-informed counterparts. Our own recent research, Data as the New Water: The Importance of Investing in Data and Analytics Pipelines, done in partnership with IDC, shows that companies that optimize their data pipelines see enhanced operational efficiency (88 percent vs.

At its core, healthcare organizations revolve around the patient. Like any other business, the healthcare industry is consumer oriented. There are customers to take care of—literally—which is why it’s important to create a great patient experience. However, with COVID-19 putting a lot of pressure on the industry, maintaining a patient-centered approach has become a challenge.

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing. This is opening up new revenue opportunities, use cases and even the possibility for different types of business models within the sector, changing the way that CSPs operate.

The Cloudera Support Organization has always strived to not only provide solutions to our customers but to also deliver helpful knowledge. One of the primary sources of that knowledge comes from our Knowledge Articles. This content is created and curated by our knowledgeable Support Staff based on real-world experience coming from support cases. These Knowledge Articles have proven to be invaluable to our Support Staff over the years.

It almost seems like eons ago now, but in this year’s Gartner Data and Analytics Sydney Summit, Yellowfin were excited to participate in the first-ever Analytics & BI Showfloor Showdown, alongside IBM and Oracle. As a way of facilitating a side-by-side comparison - and in the spirit of an insightful and entertaining session - we were all invited to look at the WHO health indicators data set, understand the variables that drive life expectancy, and present them to the crowd.

In keeping with its continued focus on building the most powerful and flexible cloud data platform for data-driven companies, Snowflake released a host of new features in July. The following roundup briefly describes several of them.

Linear regression, alongside logistic regression, is one of the most widely used machine learning algorithms in real production settings. Here, we present a comprehensive analysis of linear regression, which can be used as a guide for both beginners and advanced data scientists alike.

In today’s digital age there are numerous websites that compete to drive traffic to their portals. They invest heavily in strategies like SEO and SMM to get visitors hooked on their content. Getting traffic on your website is important but it’s also critical to understand how visitors interact with your content. This is where website analytics tools and solutions come in.

One of the key challenges of building an enterprise-class robust scalable storage system is to validate the system under duress and failing system components. This includes, but is not limited to: failed networks, failed or failing disks, arbitrary delays in the network or IO path, network partitions, and unresponsive systems.

Pixel-perfect reports are a highly specific formatting capability that requires the right business intelligence (BI) solution to meet your needs for precision, quality and design. However, you may be surprised to learn it’s often not an out-of-the-box feature in 2020.

More than ever, businesses are making real-time, data-driven decisions based on information stored in their data warehouses. Today’s data warehouse requires continuous uptime as analytics demands grow and organizations require rapid access to mission-critical insights. Business disruptions from unplanned downtime can severely impact company sales, reputation, and customer relations.

Genomic data is some of the most complex and vital data that our customers and strategic partners like Mayo Clinic work with. Many of them want to work with genomic variant data, which is the set of differences between a given sample and a reference genome, in order to diagnose patients and discover new treatments. Each sample’s variants are usually stored as a Variant Call Format file, or VCF, but files aren’t a great way to do analytics and machine learning on these data.

The current economic climate has meant a sudden and seismic step-change in how many of our customers operate. The recent shift to remote working has seen an increase in conversations around how data is managed, with many businesses needing to achieve democratic data access in order to derive value and improve efficiencies as we navigate the ‘new norm’. Toolsets and strategies have had to shift to ensure controlled access to data.

We’ve been busy speaking to our customers and thought leaders in the industry and have rounded up the key takeaways from our latest CDO sessions. Here are some of the top takeaways and advice gained from these sessions with big data leaders, Kumar Menon from Equifax, Anheuser-Busch’s Harinder Singh, Sandeep Uttamchandani from Unravel, and DBS Bank’s Matteo Pelati.

Get a head start on ad analytics with our Linkedin Ads dbt package

We recently Googled the manufacturing use case “predictive maintenance” and was astonished by the results there were 82 MILLION results returned. Next, we Googled “process optimization” and it yielded even more results – 302 MILLION. Clearly, these use cases are top of mind in today’s manufacturing landscape, considering digital transformation will deliver $11 Trillion USD in economic value by 2025.

Consider building these dashboards that help answer essential business questions.

BigQuery is used by organizations of all sizes, and to meet the diverse needs of our users, BigQuery offers highly flexible pricing options. For enterprise customers, BigQuery’s flat-rate billing model is predictable and gives businesses direct control over cost and performance. We’re now making the flat-rate billing model even more accessible by lowering the minimum size to 100 slots, so you can get started faster and quicker.

The Cloudera Data Warehouse (CDW) service is a managed data warehouse that runs Cloudera’s powerful engines on a containerized architecture. It is part of the new Cloudera Data Platform, or CDP, which went live on Microsoft Azure earlier this year. The CDW service lets you meet SLAs, onboard new use cases with zero friction, and minimize cost. Today, we are pleased to announce the general availability of CDW on Microsoft Azure.

Organizational leaders worldwide agree that data governance is important. However, data governance programs in most companies are still being planned or in progress. In a 2020 Dataversity report¹, only 12 percent of companies had fully implemented programs, while 38 percent of programs were a work in progress, and 31 percent were just getting started. That’s because companies often run into roadblocks while executing data governance. Below are five common obstacles organizations face.

The life sciences industry is at a turning point.

As the business world continues to integrate AI and machine learning to better manage big data processes, one area that arguably has benefitted the most is business monitoring. From IT management to business intelligence, the last few years have seen a drastic shift in how companies are monitoring their data.

We are delighted to announce that Iguazio has been named a sample vendor in the 2020 Gartner Hype Cycle for Data Science and Machine Learning, as well as four additional Gartner Hype Cycles for Infrastructure Strategies, Compute Infrastructure, Hybrid Infrastructure Services, and Analytics and Business Intelligence, among industry leaders such as DataRobot, Amazon Web Services, Google Cloud Platform, IBM and Microsoft Azure (some of whom are also close partners of ours).

Earlier this year, we launched a unique partnership with Fortune Magazine, with the first-ever data analytics site supporting the publication of the annual Fortune 500 list. Today, we extended that partnership with the debut of the “History of the Fortune Global 500,” our interactive data analytics site timed with the publication of the 30th anniversary of the Fortune Global 500 list.

Imagine going to work only to find that your inbox is flooded with customers telling you how happy they are with your software. People are in such a hurry to download your app, you need to scale your servers to meet the demand before the infrastructure crashes. Your phone rings: it’s a tech journalist trying to book an interview with you about your company's growth. This is the dream for every business owner and entrepreneur. But the reality is often in stark contrast to the scenario above.

We are all familiar with this scenario, you work on your training code, fix “all” of the bugs (the ones you know about), wait for a few iterations, see that batch size wasn’t wrong and nothing blows up, and then you happily go home. However, when you come back into the office the next day look at your loss and test accuracy you’re horrified to find that the experiment crashed on the first test cycle because you pointed your test set in the wrong folder 🙁

The Industry Transformation category at the Data Impact Awards has never been more timely. While the business world is mostly focused on digital transformation, Cloudera and our customers know that true, data-driven change is reshaping whole enterprises and entire industries.

Our new dbt package will help you make sense of Stripe’s detailed API and improve your finance analytics.

For many companies, cloud costs are among the top investments these days. With a growing number of services, instances and regions, cloud cost optimization is becoming increasingly painful. Companies use cloud management platforms to optimize costs and increase cloud visibility and security. But staying on top of AWS budgets requires proficiency, agility and time—especially when any glitch can result in massive cost bleeds.

Cloud for analytics may be the biggest bait and switch in recent history. Until now. Not long ago, cloud was billed as the promised land – a mystical paradise of flexibility, scalability, performance and, best of all, lower costs than we ever thought possible.

Feedback is crucial to continuous improvement. When an employee wants to be more effective at their job, they would benefit from knowing what they’re good at and where they need to improve. The same goes for your products. To consistently offer quality products, knowing what your customers think is key. Customer reviews are a goldmine of valuable big data and insights that all retail organizations should tap into.

“Every organization — no matter how big or how small — needs data quality,” says Gartner in its newly published Magic Quadrant for Data Quality Solutions. However, with more and more data coming from more and more sources, it’s increasingly harder for data professionals to transform the growing data chaos into trusted and valuable data assets.

Today’s public sector organizations and government agencies demand a new standard for communicating and sharing information. That includes data-rich content that moves through environments, networks and locales. From being stored, analyzed and shared, to quickly and effectively moving between environments, to spinning up in clusters and informing endless applications—data is more critical than ever.

As one of our senior engineers explains, it took years of hard work and incremental progress.

How Cloud Computing is evolving alongside Big Data, Analytics, and AI in Financial Services. New technology like Artificial Intelligence (AI), Cloud Computing, big data, and prescriptive analytics are changing the way the Financial Services sector does business. With evolving tech comes both new opportunities as well as different risks, and companies within the space must innovate and embrace new ideas as shifting business conditions and changing consumer preferences dictate new norms.

The recent global pandemic caused by the COVID-19 virus has threatened the sanctity of our humanity and the well-being of our societies at large. Similar to times of war, the pandemic has also given us the opportunity to appreciate the things we take for granted such as health workers, food suppliers, drivers, grocery store clerks and many others who are in the frontlines keeping us safe at this difficult time, Salute!