Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). Many organizations are hoping to leverage these massive amounts of data by investing heavily in big data solutions – solutions that they hope can meet business goals such as increasing customer satisfaction, uncovering alternative revenue streams, or improving operational efficiency.

Data governance was an exclusive set of skills and tools based on old-school rules until a few years ago. Today, that's changed. While people who manage data still need tools, rules, and protocols to control and secure data use and sharing, three major trends have transformed the data ecosystem. First, the explosion of data from many nontraditional sources (personal devices, sensors, social data, etc.) provided businesses with massive and unprecedented information to dig for insight.

Finance leaders are facing the most turbulent trading conditions for more than a generation. The odds of recession are rising, US inflation has hit a 40-year peak, the “Great Resignation” has denied organisations the people they urgently need to go to market, stock markets have slumped, exchange rates are beyond volatile and, although abating, there is still the threat of a fresh round of Covid. Forecasting business performance has never been so challenging.

Pub/Sub’s ingestion of data into BigQuery can be critical to making your latest business data immediately available for analysis. Until today, you had to create intermediate Dataflow jobs before your data could be ingested into BigQuery with the proper schema. While Dataflow pipelines (including ones built with Dataflow Templates) get the job done well, sometimes they can be more than what is needed for use cases that simply require raw data with no transformation to be exported to BigQuery.

Businesses aiming to deliver superior digital experiences, retain customers and innovate rapidly must seek ways to get value from data faster, and this is where real-time data warehousing helps.

As Business Intelligence (BI) tools, data warehousing solutions, and enterprise data and application landscapes have advanced, it’s worth taking the time to rethink that old model, starting with the dichotomy between operational reporting (OR) and strategic analytics. There is a clear difference between operational reporting and BI, but they can and should work together. Companies use one or the other, and if they have both, there is a gap between them.

Snowflake’s Data Cloud is powered by a single engine. From day 1, we have been focusing on consistently evolving and improving this engine to allow existing workloads to run more efficiently and enable new workloads to run on Snowflake. The single engine approach translates into a single experience—from one consistent pricing model to an integrated approach combining performance, security, governance, and the foundation to seamlessly enable cross-region or cross-cloud scenarios.

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets.

Companies are tightening the belts with one exception: data. The modern data stack shows no signs of a recession with Frank Slootman the CEO of Snowflake saying at their annual user conference they will not slow hiring plans. CNBC Tech Council executives noted how technology investments are business drivers, not cost centers. And Foundry’s annual cloud computing survey cites cloud analytics as a top growth driver. A digital economy is fueling this growth in the data sector.

As data science has taken center stage in a lot of organizations, many are relearning what they’ve already known – that dry, mathematical calculations don’t inspire and don’t stick. It’s the story that matters. In this first of a two-part blog series, we look at the history and neuroscience of storytelling and how it can help us understand data at a more human level.

Industry pioneers – Fivetran CEO George Fraser, Databricks CEO Ali Ghodsi, dbt Labs CEO Tristan Handy – discuss what's next for the tooling and technologies powering data analytics and engineering.

Co-author: Mike Godwin, Head of Marketing, Rill Data Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. We want Cloudera customers that rely on Apache Druid to know that their clusters are secure and supported by the Cloudera partner ecosystem.

Ever wondered what it would be like if we weren’t able to see all of a sudden? Being born blind and facing blindness and low vision at a later stage are very different experiences. When you first feel the loss of vision, the panic and the helplessness are real. It’s that feeling of losing something important that we took for granted. Let’s just take a moment to appreciate that we can read this all thanks to our healthy eyesight.

GEODIS Distribution & Express, a subsidiary of GEODIS, is the leader in France for reliable last-mile delivery service (deliveries within 24 to 48 hours). In 2020 alone, its 115 agencies handled 100 million parcels and carried out 5,000 rounds per day in more than 35 countries across Europe. Nathalie Mandjee, Business Intelligence Manager at GEODIS Distribution & Express, discovered that this part of the company was growing into a profit center for the larger business.

Machine learning is more accessible than ever, with datasets available online and Jupyter notebooks providing an easy way to explore and train models. In building a model, we often forget that it will be incorporated into an application that will provide value to the user. Therefore, we wanted to demonstrate how we can "use" the models we build in an application.

Data volumes are increasing exponentially with no sign of slowing. Experts predict that by 2025, the global volume of data will reach 181 zettabytes — that’s more than four times pre-COVID levels in 2019. Data analysts at Centogene agree: “Every mouse click, keyboard button press, swipe or tap is used to shape business decisions. Everything is about data these days - data is information, and information is power.”

The dynamic and interconnected world of global ecommerce, crypto currencies, and alternative payments places increased pressure on anti-financial crime measures to keep pace and transform alongside these initiatives. Consumers worldwide are projected to use mobile devices to make more than 30.7 billion ecommerce transactions by 2026, a five-fold increase over the 6.1 billion predicted for 2022.

BigQuery is Google Cloud’s fully managed serverless data platform that supports querying using ANSI SQL. BigQuery also has a data lake storage engine that unifies SQL queries with other open source processing frameworks such as Apache Spark, Tensorflow, and Dask. BigQuery storage provides an API layer for OSS engines to process data. This API enables mixing and matching programming in languages like Python with structured SQL in the same data platform.

The sheer quantity and diversity of data sources make today’s landscape strikingly different — which requires a new set of tools.

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion.

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Administrators, developers, and data engineers who use Kafka clusters struggle to understand what is happening in their Kafka implementations.

It is not unusual for customers to load very large data sets into their enterprise data warehouse. Whether you are doing an initial data ingestion with hundreds of TB of data or incrementally loading from your systems of record, performance of bulk inserts is key to quicker insights from the data. The most common architecture for batch data loads uses Google Cloud Storage(Object storage) as the staging area for all bulk loads.

Performance considerations for loading data into BigQuery for various file types.

With the rise of drone usage, it’s easier to take aerial footage than ever before. The resulting data can trigger quick, effective action; removing guesswork and increasing aerial awareness, which can have profound implications on growing profits and trimming expenses. And as drone use rises, so does the usage of AI, to navigate, detect, identify, and track meaningful artifacts and objects.

We all want better business cash flow and we want it yesterday. You can’t plan for emergencies, geopolitics, or sudden problems that you have no control over. But you can mitigate risks of business cash flow problems by having the right tools at your side. Business cash flow planning can get you out of a jam and save your company. Take a look at our ultimate guide to business cash flow planning highlighting.

We’re back with another Job of the Week! The title is admittedly growing on me... This week’s job takes us into the world of data scraping. First, let’s answer two common FAQ’s.

Innovate or die. It’s one of the few universal rules of business, and it’s one of the main reasons we continue to invest so heavily in data. Only through data can we get the key insights we need to innovate faster, smarter, better and keep ahead of the market. And yet, the vast majority of data initiatives are doomed to fail. Nearly nine out of 10 data science projects never make it to production.

Businesses today adapt to change with breathtaking speed. Lines of business now follow their products out the door digitally and continue tracking usage throughout the lifecycle. This gives companies valuable insights into how customers use and interact with their products, enabling them to analyze and evolve solutions while nurturing customer relationships.

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds.

Machine Learning is revolutionizing the world of healthcare. ML models can help predict patient deterioration, optimize logistics, assist with real-time surgery and even determine drug dosage. As a result, medical personnel are able to work more efficiently, serve patients better and provide higher quality healthcare.

A few simple calculations illustrate why it's ill-advised to build your own data pipeline.

With Fivetran’s teleport sync, you can quickly replicate database changes with just a read-only user.

In this article, we discuss how you can avoid data pipeline breakdowns thanks to total observability through the use of dbt complemented with Kensu. Data quality problems tend to manifest in many ways. Here is an example.

As Cloudera CMO David Moxey outlined in his blog, we live in a hybrid data world. Data is growing and continues to accelerate its growth. It is changing in makeup and appearing in ever more places. Driving insight and value from it all is as much of an opportunity as it is a challenge. As a result, it’s getting ​​progressively more complex for businesses to access, use, and create value from it.

Qlik has performed extremely well in peer-based reviews over the years, but one peer-based review organization which sometimes flies under the radar is G2. They shouldn’t - G2 has been around for a decade and published over 1.7 million reviews covering thousands of software products.

Operational reporting is an effective, results-driven means of tracking, measuring, and analyzing your business’s regular deliverables and metrics. These dynamic reports offer invaluable insights into various logistical aspects relating to your organization’s activities across the board. They’ll help you make swift, informed decisions, save time and money, spot emerging trends and formulate initiatives that will improve the day-to-day operations of your business.

A business is only as healthy as its data. Organizations rely on data not just to accelerate and adapt, but increasingly, to perform the most basic of business operations, from hiring new personnel to launching and moving products.

Stop struggling with SAP ERP data integration issues and easily connect and access your data in real-time using high-volume data replication.

APIs are basically pieces of code that help with task performance for the vast majority of businesses. An organization can accomplish data interoperability between various applications with the use of an API analytics tool. If you're a part of the API economy and want to start using APIs as a source of revenue or growth in today's hyper-connected world, you need to manage APIs with more finesse.

If there is a job synonymous with numbers and data, it’s finance and accounting so you’d be forgiven for thinking that those working in these roles are, by extension, data literate – with the ability to read, work with, analyze and communicate with data. In fact, this is the lie. There is a very big difference between reporting on data and taking informed action using the insights data can provide.

As the SVP for User Growth at ThoughtSpot, my job is to optimize our product features to reduce friction and encourage more user engagement. I spend my days analyzing our user data to answer questions like: The key to product-led growth is to identify measurable success metrics both for the product overall (your North Star metric) and for each product feature. Choosing the right North Star metric is crucial.

Eliminate hanging sensors with new Fivetran Airflow provider release.

Data discovery, also known as data analysis for business users, is one of the top business intelligence trends for 2022. Let’s take a look at how industries like yours are making use of data analytics tools to find patterns and derive insights from data. You just might be surprised at the innovation spanning each sector.

Poorly written queries and rouge queries can create a nightmare for data teams when it comes to fixing and preventing performance issues, and as a result, costs can quickly spiral out of control. Whether you want to move your on-premises data to Google BigQuery or make the most of your Google BigQuery investments, Unravel can help businesses that struggle to find the optimal balance of performance and cost of Google BigQuery.

Bi-directional data movement and low latency are key to effectively integrating data between on-prem and cloud for real-time analysis.

Tax teams are taking on an increasingly strategic role within today’s businesses. However, given the rapid pace of change, many executives are still unaware of the untapped strategic potential within these teams. Watch Now: Tax reporting in a changing world Some organizational leaders may still view the tax department as a group of technicians – specialists responsible for tracking changes in the law, calculating tax liability, and filing the necessary paperwork.

Workforces across the world have changed rapidly over the past couple of years thanks, in large part, to two major trends. The first is the rapid digitization and transformation of service offerings during the pandemic. As our working lives shifted from office-based to online-based, the services that enable employees to do their jobs had to follow the same pattern. And with working practices predicted to remain a hybrid mix of office and remote-based, these changes are here to stay.